ABOUT THE TEAM

We build robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense (AD) Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We are seeking a Senior Mission Data Platform Engineer to design, build, and operate the foundational data infrastructure that empowers our analytics and engineering teams. In this role, you will be the architect of a scalable, reliable, and easy-to-use platform that enables analytics engineers, data scientists, and software engineers to build high-impact analyses and data-driven applications.

You will combine deep expertise in cloud infrastructure, DevOps, and modern data systems to create a cohesive ecosystem. Applying Site Reliability Engineering (SRE) principles will be key to ensuring the performance and availability of these critical systems, which operate in both commercial cloud and classified environments. You will collaborate closely with platform users to understand their needs and remove friction, ensuring our data capabilities are a force multiplier for the entire organization. Your ability to deploy and maintain these mission-critical solutions will be essential, with occasional travel required for real-world implementation and support.

Key Responsibilities:

• Lead the design, development, and maintenance of a scalable, self-service data platform that serves as the foundation for analytics and data applications across the organization.
• Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes), and CI/CD best practices to support the data platform.
• Partner with and empower platform users—including analytics engineers, data scientists, and software engineers—by providing robust tooling, clear documentation, and a seamless developer experience.
• Implement SRE principles to ensure the data platform is highly available, performant, and observable, establishing SLOs, automating operational tasks, and leading incident response for the platform.
• Evolve the platform's architecture by evaluating and integrating new technologies from the modern data stack to meet the ever-changing needs of the business.

REQUIRED QUALIFICATIONS

• 6+ years of experience in a combination of data platform engineering, cloud infrastructure, DevOps, or SRE roles.
• Active U.S. Department of Defense (DOD) Secret Clearance or higher and experience operating in air-gapped, classified, and/or other highly constrained network environments.
• Hands-on experience building and maintaining platforms with key components of the modern data stack, such as data lakehouse technologies (e.g., Apache Iceberg), query engines (e.g., Trino/Presto, AWS Athena), transformation tools (e.g., dbt), and real-time stream & batch processing platforms (e.g., Apache Kafka, Apache Spark).
• Extensive experience with Infrastructure-as-Code (IaC), particularly Terraform, for managing complex cloud environments (e.g., AWS, Azure, GCP).
• Strong proficiency in DevOps and software deployment practices, including containerization and orchestration (e.g., Docker, Kubernetes, Helm), GitOps & CI/CD tooling (e.g., ArgoCD, CircleCI), and observability/monitoring/APM platforms (e.g., Datadog, Grafana).
• Exceptional problem-solving and critical-thinking skills, with the ability to architect robust technical solutions for ambiguous and dynamic platform requirements.
• Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation and a user-centric mindset.
• Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code.
• Experience with data pipeline orchestration tooling (e.g., Flyte, Airflow, Dagster).
• Experience writing code in another language (e.g., Go, Java, Scala, JavaScript/TypeScript).

PREFERRED QUALIFICATIONS

• Ability to comprehend and appropriately modify software written in a systems or lower-level language such as C/C++, Rust, Zig, etc.
• Experience with setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments.
• Experience working with specialized data formats (e.g., MCAP, HDF5) common in domains like robotics.
• Experience with the Nix (dependency management & system configuration) ecosystem.
• Strong Linux fundamentals and troubleshooting skills.
• Prior defense, aerospace, or intelligence domain experience.
• Deep intellectual interest in the intersection of infrastructure, analytics, and the physical hardware world, motivated by our mission.
• Exposure to the technical, programmatic, and operational challenges of developing and deploying advanced systems across various command echelons.

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate (including mandatory training) of $85/hour and an administrative rate (including no shows/late cancellations) of $25.50/hour with semi-monthly pay.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LCSW, LMFT, LPCC, or Psychologist (PhD or PsyD) in California
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE 

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate (including mandatory training) of $85/hour and an administrative rate (including no shows/late cancellations) of $25.50/hour with semi-monthly pay.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LCSW, LMFT, LPCC, or Psychologist (PhD or PsyD) in California
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE 

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate (including mandatory training) of $85/hour and an administrative rate (including no shows/late cancellations) of $25.50/hour with semi-monthly pay.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LCSW, LMFT, LPCC, or Psychologist (PhD or PsyD) in California
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE 

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate (including mandatory training) of $85/hour and an administrative rate (including no shows/late cancellations) of $25.50/hour with semi-monthly pay.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LCSW, LMFT, LPCC, or Psychologist (PhD or PsyD) in California
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE 

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate (including mandatory training) of $85/hour and an administrative rate (including no shows/late cancellations) of $25.50/hour with semi-monthly pay.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LCSW, LMFT, LPCC, or Psychologist (PhD or PsyD) in California
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE 

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate (including mandatory training) of $85/hour and an administrative rate (including no shows/late cancellations) of $25.50/hour with semi-monthly pay.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LCSW, LMFT, LPCC, or Psychologist (PhD or PsyD) in California
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE #Indeed-PT-CA #W2 #ZR Location: California (Remote)

We are looking for a Senior Data Engineer to join our Data & ML Platform team, responsible for development, maintenance and support for Oura’s Datalake and adjacent systems, collaborating closely with data scientists, analysts and other departments utilizing the Datalake.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do: 

• Build, operate, and improve Oura’s Datalake consisting of systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Design and implement data models and pipelines with a strong focus on data quality, reliability, and governance.
• Ensure that our data platform and processes meet privacy, compliance, and security requirements.
• Build components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.
• Independently collaborate with different stakeholders including Data Scientists, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Datalake consumers in their day-to-day work.
• Write code, mostly in Python and SQL  with occasional additions Typescript, Java or some other language.

We would love to have you on our team if you have:

• 5+ years of experience developing and operating production systems.
• Experience running, monitoring, and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
• Good architectural understanding of event-driven architectures, workflow engines, database, and data warehouse systems.
• Ability to design robust data models and pipelines, with attention to data accuracy and integrity.
• Experience in building infrastructure and components following best practices such as CI/CD and infrastructure as code.
• Demonstrated skills in writing well-structured, testable, and high-performance code.
• Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks.
• You are self-motivated, proactive, and able to lead and manage your own work effectively.
• A pragmatic and goal oriented approach to development.

What Makes You Stand Out

• Real-life experience with Databricks.
• Familiarity and experience with the Data Mesh approach
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000
• Region 2 $159,000 - $187,000
• Region 3 $148,000 - $174,000

A recruiter can determine your zones/tiers based on your US location.

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

Role Overview

We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across Patient Experience and Commercial Operations functions. This role is focused on improving how patients navigate testing and billing while enabling operational teams to efficiently progress cases from order to completion. You will play a crucial part in supporting initiatives to reduce friction, improve patient trust, and increase operational efficiency, ultimately driving better conversion, collections, and experience.

This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with domain leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.

This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across the associated functions. The role has direct ownership of high-impact initiatives that deeply influence organizational success.

What You’ll Do

Strategy & Roadmap

• Define and own the Data & AI product strategy and roadmap for the Patient Experience + Commercial Operations pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities
• Translate ambiguous business problems (e.g., stuck cases, fragmented patient communication, support inefficiencies, billing friction) into clear product direction and measurable outcomes
• Own the line between 'what the business needs' and 'what gets built' end-to-end

Discovery, Experimentation, & Requirements

• Develop deep context on the domain so you can proactively propose solutions rather than field requests
• Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis
• Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.
• Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics
• Design and run experiments to validate product performance and measure causal impact
• Establish leading indicators and KPIs for proactive product and process health assessments

Delivery, Data, & ML Lifecycle

• Partner with data and AI/ML engineering resources to deliver scalable products and capabilities
• Guide development of robust data pipelines and unified data models (360° views across key entities)
• Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining
• Ensure training–serving consistency, model versioning, and clear deployment decision gates
• Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)

AI Productization & Hands-On Building

• Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations
• Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support
• Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)
• Implement prompt strategies, guardrails, and continuous evaluation pipelines

Governance, Compliance, & Data Quality

• Ensure products meet regulatory and compliance requirements
• Champion data quality, lineage, and reliability through data contracts and observability standards
• Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)
• Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly

Adoption, Change Management, & Impact

• Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence
• Partner with stakeholders to integrate products into proactive, day-to-day decision-making
• Monitor product usage, performance, and business outcomes to iterate based on data and feedback
• Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, case completion turnaround)
• Influence Patient Experience and Commercial Operations stakeholders through delivery, not authority

Qualifications

Required

• 7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms
• Demonstrated domain fluency in Patient Experience and/or Commercial Operations
• Strong understanding of patient journeys, support channels (e.g., chat, voice, call centers), and operational workflows that drive conversion and test completion
• Familiarity with key domain-relevant tooling (e.g., patient portals, support platforms) and associated data
• Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)
• Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)
• ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)
• Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)
• Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams
• Experience working in regulated environments (e.g., healthcare, life sciences, fintech)

Preferred

• Experience in healthcare, diagnostics, life sciences, and/or digital health
• Familiarity with healthcare data domains and systems, including patient, provider, payer, claims, billing, and clinical trial data
• Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
• Advanced degree in a technical and/or business discipline

What Success Looks Like

• Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows
• Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support
• Measurable improvements seen in key business metrics (e.g., case completion turnaround time, patient satisfaction, cost-to-serve)
• Reliable, high-quality data foundations connect patient, provider, clinical, operational, and billing/financial insights end-to-end
• AI systems are continuously monitored, evaluated, and improved with measurable business impact
• Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams
• Internal teams have transparent access to the function's roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals

Role Overview

We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across the go-to-market and operational teams embedded within Natera’s core business units (i.e., Oncology, Women’s Health, Organ Health), including Sales, Marketing, and Medical stakeholders. 

This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with ‘S&M + GM’ leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.

This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across Sales, Marketing, Medical, and related functions.

This role sits at the intersection of business impact and technical depth, with deep visibility into commercial performance and executive decision-making. You will have direct ownership of high-impact initiatives fueling overall organizational success.

What You’ll Do

Strategy & Roadmap

• Define and own the Data & AI product strategy and roadmap for the S&M + GM pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities
• Translate ambiguous business problems (e.g., churn risk, campaign performance, clinical profile segmentation, next-best-action orchestration) into clear product direction and measurable outcomes
• Own the line between ‘what the business needs’ and ‘what gets built’ end-to-end

Discovery, Experimentation, & Requirements

• Develop deep context on the domain so you can proactively propose solutions rather than field requests
• Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis
• Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.
• Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics
• Design and run experiments to validate product performance and measure causal impact
• Establish leading indicators and KPIs for proactive product and process health assessments

Delivery, Data, & ML Lifecycle

• Partner with data and AI/ML engineering resources to deliver scalable products and capabilities
• Guide development of robust data pipelines and unified data models (360° views across key entities)
• Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining
• Ensure training–serving consistency, model versioning, and clear deployment decision gates
• Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)

AI Productization & Hands-On Building

• Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations
• Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support
• Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)
• Implement prompt strategies, guardrails, and continuous evaluation pipelines

Governance, Compliance, & Data Quality

• Ensure products meet regulatory and compliance requirements
• Champion data quality, lineage, and reliability through data contracts and observability standards
• Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)
• Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly

Adoption, Change Management, & Impact

• Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence
• Partner with stakeholders to integrate products into proactive, day-to-day decision-making
• Monitor product usage, performance, and business outcomes to iterate based on data and feedback
• Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, forecasting accuracy)
• Influence across Sales, Marketing, Medical, and GM stakeholders through delivery, not authority

Qualifications

Required

• 7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms
• Demonstrated domain fluency in Sales, Marketing, Field Medical, and/or related commercial/GTM functions 
• Strong understanding of sales funnel, marketing funnel, medical affairs funnel, and related funnels to relate product ideas to the overall opportunity landscape
• Familiarity with key domain-relevant tooling (e.g., Salesforce) and associated data 
• Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)
• Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)
• ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)
• Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)
• Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams
• Experience working in regulated environments (e.g., healthcare, life sciences, fintech)

Preferred

• Experience in healthcare, diagnostics, life sciences, and/or digital health
• Familiarity with healthcare data domains and systems
• Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
• Advanced degree in a technical and/or business discipline

What Success Looks Like

• Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows
• Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support
• Measurable improvements seen in key business metrics (e.g., increased sales efficiency, better campaign performance)
• Reliable, high-quality data foundations connect patient, clinical, financial, and commercial insights end-to-end
• AI systems are continuously monitored, evaluated, and improved with measurable business impact
• Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams
• Internal teams have transparent access to the function’s roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals
  
  

#LI-DNI

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

OVERVIEW

We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering strategy and execution. This role will be responsible for building and scaling a modern data platform that supports business intelligence, personalization, supply chain optimization, and AI/ML initiatives across the organization.

RESPONSIBILITIES

• Lead and mentor a high-performing team of data engineers and architects.
• Design and implement scalable, secure, and efficient data pipelines and infrastructure.
• Partner with business leaders, product managers, and data scientists to deliver data solutions that drive business impact.
• Oversee the development and maintenance of data lakes, data warehouses, and real-time streaming systems.
• Establish best practices for data governance, quality, and compliance (e.g., GDPR, CCPA).
• Evaluate and implement modern data tools and platforms (e.g., Snowflake, Databricks, Airflow, dbt).
• Drive innovation in data architecture to support personalization, predictive analytics, and AI/ML capabilities.
• Manage vendor relationships and ensure cost-effective use of third-party data services.

QUALIFICATIONS

• 8-10+ years of experience in data engineering or related fields, with at least 5 years in a leadership role.
• Proven experience building and scaling cloud-based data platforms (AWS, GCP, or Azure).
• Expertise in SQL, Python, Spark, and modern data stack tools.
• Strong understanding of data modeling, ETL/ELT processes, and real-time data processing.
• Experience supporting e-commerce, retail, or consumer brands is a plus.
• Excellent communication and stakeholder management skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

The base salary range for this position is $250,000-$280,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

As the Senior Manager, Finance Data Governance, you will be the architect of trust for Okta’s Finance organization. In an era where AI is redefining financial velocity, data integrity is our most valuable currency. You will sit at the intersection of cutting-edge AI innovation and rigorous financial compliance, ensuring our data is not only accessible but undeniable.

You will lead the Finance Data Governance program, serving as the bridge between Finance leadership, Enterprise Data Governance, TDI, Privacy, and Legal. You'll administer the Finance Data Governance Council (FDGC), ensuring Finance implements enterprise governance standards while addressing domain specific financial data requirements. Your goal is to transform "data governance" from a compliance checkbox into a competitive advantage that accelerates AI adoption, Analytics, and executive decision-making.

This is a hybrid role with an in-office requirement of two days per week at our San Francisco location.

Key Responsibilities

1. Policy Creation & Strategy

• Provide strategic direction, oversight, and accountability for the Finance organization's data governance efforts.

• Implement enterprise data governance standards within the Finance domain, defining Finance-specific handling requirements, use case guidance, and operational procedures that extend corporate policies. This includes policies for data classification, retention, privacy, plus AI-specific policies (transparency, bias mitigation, and “hallucination” detection).

• Draft specific guidelines for the Ethical Use of AI in Finance, ensuring automated forecasting and risk models are transparent and unbiased.

• Define Clear Ownership: Establish "Data Domains" and assign accountability to Data Stewards within the Finance Org.

• Establish the scope and priorities for governance initiatives (which domains or systems to focus on) based on business criticality / AI readiness

• Identify existing data stewards within Finance and formalize their accountability through clear role definitions and decision rights.

• Align Finance governance practices with enterprise data classification taxonomy and handling standards, adapting enterprise policies for Finance-specific use cases.

• Be the Data cultural change agent for Finance.

2. Administration & Execution

• Operationalize data policies into daily workflows in Finance and upstream at point of entry, ensuring that automated systems and manual entries adhere to established standards.

• Partner with cross functional data owners to drive upstream data ownership and cleanliness.

• Define requirements for data transformation logic (dbt, SQL), access control models, define data quality thresholds, and data contracts.

• Define and govern the Data Lineage Framework for critical financial metrics, establishing the standards for source-to-report traceability (e.g., ensuring 'Revenue' figures are fully auditable to underlying contracts and invoices). Oversee the implementation of these guardrails to ensure end-to-end data integrity across the finance ecosystem.

• Hold data owners and stewards accountable for data health in their functions. Monitor data quality metrics (Accuracy, Completeness, Timeliness) and lead remediation efforts when data falls below threshold.

• Communicate risks by framing governance gaps in business impact terms, escalate compliance risks (SOX, CMMC).

• Define standards and drive adoption through value realization and business impact, not through mandates.

• Manage the Metadata Repository and Business Data Dictionary to ensure "Revenue" or "Churn" means the same thing in every report.

• Partner with TDI product owners for technical implementation of governance controls in Finance systems.

3. Leadership of the Finance Data Governance Council (FDGC)

• Administer the FDGC program: coordinate meeting logistics, own agendas, facilitate discussions, and execute council decisions. The Council itself comprises VP-level Finance leaders who provide strategic direction and resolve escalated issues.

• Conflict Resolution: Facilitate agreement on common data definitions, master data, metadata as needed.

• Roadmap Management: Track and report on the progress of governance initiatives to executive leadership.

• Translate Risk to Value: Convert complex governance gaps and regulatory risks (SOX, GDPR, EU AI Act) into clear business impact narratives for executive leadership.

• Demonstrate Business Impact: Align governance efforts to business outcomes to reinforce the value of governance investment.

4. AI Data Governance & Best Practices

• Ensure data governance requirements are embedded throughout the model development and deployment lifecycles, including data quality validation, provenance tracking, and bias assessment.

• Define Finance’s certification standards and governance protocols for 'Gold' data products. Ensure that governed, pre-validated views serve as the authoritative 'Truth' layer to mitigate hallucination and model risk.

• Regulatory Compliance: Ensure all data practices comply with SOX, GDPR, and emerging AI regulations (like the EU AI Act).

• Best Practice Evangelism: Conduct training sessions to upskill the Finance team on subjects such as the purpose of governance and the FDGC, data literacy, data quality practices, ethics and AI prompts.

Qualifications

• Experience:

• 5+ years in Data Governance, Data Management, or Financial Systems

• 3+ years leadership/management experience

• Finance domain familiarity (FP&A, Controllership, or financial reporting)

• Communication skills to translate technical issues for executives

• Experience with SaaS business metrics (ARR, Churn, Net Retention) and how they flow through systems.

• Proven track record of taking a data environment from ungoverned to standardized. 

• Data engineering/analytics background

• AI/ML governance experience

• CDMP certification

• SOX compliance experience

#LI-MK1

#LI-hybrid

(P24844_3393991)

The Field Analytics Team

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is the primary engine for strategic analysis, enabling our leaders to make evidence-based decisions that determine the trajectory of Okta’s growth.

Manager, Field Analytics Opportunity

We are looking for a Manager, Field Analytics to serve as a strategic partner of our Solutions Engineering and Partner organizations. You will transform complex data into actionable strategies, identifying key revenue drivers and building scalable analytical frameworks that directly influence Okta's strategic direction.

You will act as the primary liaison between our data infrastructure and our most technical go-to-market branches. Your mission is to build scalable, flexible reporting that drives proactive insights that optimize technical sales productivity and accelerate partner-led growth while championing the adoption of emerging AI capabilities. 

Impact & Responsibilities:

• Strategic Partnership: Act as a dedicated analytics lead for the Pre-Sales and Partners operations and leadership teams. Develop deep relationships to understand their business rhythms and operational needs, translating complex business questions into analytical frameworks.
• AI Readiness & Innovation: Lead the "AI readiness" initiative for field data. This includes exploring AI solutions to help pre-sales and partner teams drive growth, document processes, and brainstorm innovative ways to use AI tools for internal productivity.
• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets. You will work in close partnership with our offshore delivery team to progress work faster and scale foundation reporting while you focus on high-complexity strategic projects.

Required Skills & Qualifications: 

• 6+ years in an operational and analytical capacity (Sales Operations, Business Intelligence, or Revenue Analytics), preferably within a fast-paced SaaS environment.
• Expert-level proficiency in SQL (Snowflake), BI Visualization tools (Tableau), and CRM data (Salesforce).
• Proven ability to build advanced analytical models (e.g., productivity modeling, variance analysis) and high-visibility dashboards.
• Ability to look beyond the "what" to the "why" and "so what," providing actionable recommendations that change business behavior.
• Exceptional written and verbal communication skills, with a proven ability to distill complex technical findings into strategic narratives for senior executives.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global delivery model.

Preferred Qualifications: 

• Track record of experimenting with AI tools (e.g., Gemini, ChatGPT, Claude Code) or implementing AI-based workflows to optimize data modeling and automate documentation.
• Proficiency with scripting languages (Python) and modern data modeling frameworks (dbt).
• Prior experience supporting a Solutions Engineering or Partner/Channel organization.
• Experience in SaaS GTM.

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#LI-Hybrid

#P5992_3420266

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Set project impact, prioritization and timelines
• Build and grow a team of engineers, lead by example, as we grow and scale our business and field operations
• Partner with senior leaders to bring structure, insight, and velocity to Anduril’s highest-priority operational challenges
• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scaleable outcome
• Leader - You’re skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

As a Senior Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world. You will have a hand in helping shape the data platform vision at Anduril.

ABOUT THE JOB

We’re looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defense technology.

WHAT YOU'LL DO

• Lead the design and roadmap for our data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 5+ years of experience in a data engineering role building products, ideally in a fast-paced environment
• You are motivated by our mission. We are working to solve the biggest problems in defense
• Good foundations in Python or another language
• Experience with Spark, PySpark, SQL and dbt
• Experience with Enterprise Data Systems like Palantir Foundry
• Experience with or interest in learning how to develop data services and data products
• Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling
• Knowledge of data & visualization tools, such as Tableau
• Understand the importance of engineering with security’s best practices in mind
• You are empathetic: you are eager to see the world from your users’ perspective
• You’re energized by business impact & a self-starter: you love to drive the direction of ambiguous projects
• Drive to take ownership of and debug complex data transformation pipelines and data models
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

ABOUT THE TEAM

The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We’re looking for people who love ontologies - defining domains and writing the code that puts those models into action. Ideally you are passionate about the next generation of defense technology and love building efficient and understandable data models. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards.

WHAT YOU'LL DO

• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Lead the design and roadmap for our data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 5+ years of experience in an analytics focused role - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• Demonstrated experience with autonomy and process ownership
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Expert with SQL and experience with Python or other programming languages
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

ABOUT THE TEAM

The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We're looking for people who love delivering value with data - defining ontologies and writing the code that puts them into action. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards. As a Staff Engineer, you should be a player-coach; your role is to set an example for your team and define what great looks like while also being their advocate & mentor. Your leadership should take a high performing team on towards the next level.

WHAT YOU'LL DO

• There is no such thing as a pure manager at Anduril - you'll demonstrate your ability to be both an IC and a people manager.
• Become the Trusted Partner for end to end date flows - your job doesn't end at the boundary of the data warehouse but instead in the business outcome.
• Become an expert in the domain areas of your direct reports and provide them guidance, mentorship, and support.
• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 6+ years of experience in the analytics ecosystem - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• 2+ years in a Lead role, demonstrating autonomy and process ownership
• Experience managing a team in a dynamic environment with shifting priorities.
• Track record of leading cross-functional technical initiatives with measurable business impact
• Experience working with sensitive data and maintaining security protocols
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

ABOUT THE TEAM

As a Staff Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world. You will also shape the current and future vision of the entire data platform. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We’re looking for Software and Data Engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defense technology. As a Staff Engineer, you should be a player-coach; your role is to set an example for your team and define what great looks like while also being their advocate & mentor. Your leadership should take a high performing team on towards the next level

WHAT YOU'LL DO

• Lead the design and roadmap for our data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.
• Operate in a "player-coach" capacity, leading members of the team, while remaining hands on as a contributor

REQUIRED QUALIFICATIONS

• 6+ years of experience in a data engineering role building products, ideally in a fast-paced environment
• 2+ years in a Lead role, demonstrating autonomy and process ownership
• You are motivated by our mission. We are working to solve the biggest problems in defense
• Good foundations in Python or another language
• Experience with Spark, PySpark, SQL and dbt
• Experience with Enterprise Data Systems like Palantir Foundry
• Experience with or interest in learning how to develop data services and data products
• Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling
• Knowledge of data & visualization tools, such as Tableau
• Understand the importance of engineering with security’s best practices in mind
• You are empathetic: you are eager to see the world from your users’ perspective
• You’re energized by business impact & a self-starter: you love to drive the direction of ambiguous projects
• Drive to take ownership of and debug complex data transformation pipelines and data models
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

ABOUT THE JOB

The Planning organization plays a critical role in driving operational outcomes by translating demand insights into precise production and procurement signals. Within this group, the Systems & Process team partners closely with Anduril’s Analytics team to build scalable workflows, ontologies, and data models that power planning excellence. We’re responsible for developing the digital twin of our operations—capturing demand, supply, manufacturing, and sustainment data in ways that drive real-time decision-making.

We’re looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You’ll design and implement data models, workflows, and analytical tools that directly improve operational performance—enabling Anduril to plan more effectively at scale.

WHAT YOU’LL DO

• Partner with Planning leadership and Anduril’s Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalize planning workflows and data products across Anduril’s production and sustainment organizations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organizations more effectively through data-driven insights.

REQUIRED QUALIFICATIONS

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• You have strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• You think strategically and execute tactically—you’re just as comfortable designing a planning framework as you are diving into the details of a late supplier PO.
• You bring a data-driven mindset and can turn analytics into action; you know how to interpret demand signals, build plans, and communicate clearly.
• You’re systems fluent, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle), and can partner effectively with technical teams to improve tooling.
• You lead with cross-functional empathy—understanding the needs of engineering, product, deployment, and finance to align priorities and deliver business outcomes.
• You’re comfortable with ambiguity and energized by building structure in environments that are scaling fast.
• You are high ownership, low ego, and value results over credit.
• You anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset—you prioritize velocity and impact, delivering solutions that drive immediate value.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

ABOUT THE TEAM

Anduril’s Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are
evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications.

ABOUT THE JOB

We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large-scale data

WHAT YOU’LL DO

Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and
Palantir Foundry .
Apply Software Engineering Principles: Treat data infrastructure as a software product. Develop reusable
frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like
version control, code reviews, and CI/CD.
Architect and Model Data: Design and implement well-structured, performant data models and schemas in our data
warehouse and data lakehouse environments, optimized for both analytical querying and application use.
Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to
proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and
storage layers.
Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast-paced environment.
• Strong programming proficiency in Python.
• Hands-on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.
• Expert-level SQL and query optimization skills on large-scale datasets.
• Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
• Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).
• Must be eligible to obtain and maintain a US Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Hands-on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.
• Knowledge of real-time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).
• Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).
• Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.
• Familiarity with data visualization tools, such as Tableau

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 2+ years work experience in technical operating roles, working on user-facing processes and applications
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 2+ years work experience in technical operating roles, working on user-facing processes and applications
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

As a Senior Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world. You will have a hand in helping shape the data platform vision at Anduril.

ABOUT THE JOB

We’re looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defense technology.

WHAT YOU'LL DO

• Lead the design and roadmap for our data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 5+ years of experience in a data engineering role building products, ideally in a fast-paced environment
• You are motivated by our mission. We are working to solve the biggest problems in defense
• Good foundations in Python or another language
• Experience with Spark, PySpark, SQL and dbt
• Experience with Enterprise Data Systems like Palantir Foundry
• Experience with or interest in learning how to develop data services and data products
• Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling
• Knowledge of data & visualization tools, such as Tableau
• Understand the importance of engineering with security’s best practices in mind
• You are empathetic: you are eager to see the world from your users’ perspective
• You’re energized by business impact & a self-starter: you love to drive the direction of ambiguous projects
• Drive to take ownership of and debug complex data transformation pipelines and data models
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Set project impact, prioritization and timelines
• Build and grow a team of engineers, lead by example, as we grow and scale our business and field operations
• Partner with senior leaders to bring structure, insight, and velocity to Anduril’s highest-priority operational challenges
• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scaleable outcome
• Leader - You’re skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

The Role

Analytics Engineering at Flex sits at the intersection of Data, Product, Engineering, and business objectives. As Director, Analytics Engineering you will run the team that enables stakeholders at Flex to easily find the data they need to make decisions. You’ll be responsible for developing a world-class analytics platform that powers all data consumption at Flex, as well as managing and developing a team of high-performing Analytics Engineers. You'll also be hands-on, leveraging your technical skills to develop data models and build better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product.

You Will:

• Develop and lead strategy for data modeling platform and team roadmap
• Manage and mentor a team of Analytics Engineers
• Collaborate with leaders across product & engineering teams to define data requirements and inform architecture/schema design decisions
• Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company
• Collect business requirements, define successful analytics outcomes, and design data solutions
• Set company-wide standards for data regarding structure, quality, and expectations
• Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way

You Have:

• 8+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale
• Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries
• Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
• Expert proficiency with dbt, dbt Cloud, and Airflow
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
• Proficiency with Python preferred
• Experience within the fintech space preferred

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area.  

Tier A (NYC/SF/Seattle): $240,000-290,000
Tier B (Austin, Washington D.C. Philadelphia, Los Angeles, San Diego, Chicago, Miami, Atlanta : $215,000-265,000
Tier C (SLC/All Other States): $200,000-250,000

Offices

Roles posted in New York, San Francisco, or Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.

We're hiring a RevOps Manager to own variable pay and quota-setting across our GTM organization, automate the majority of this cycle, and support/automate other RevOps functions - from analytics and forecasting to process improvement and tooling. 

Who You Are

Required:

• 3+ years in revenue operations, sales operations, sales compensation,  finance, or a closely adjacent function, with hands-on ownership of sales comp work
• Daily working fluency with AI tools (Claude, Cursor, ChatGPT, n8n, Replit, or similar)
• At least one shipped agentic workflow, internal tool, or skill that took real work off your plate or someone else's, with specifics on what it does and what it saves
• Comfort directing AI to write SQL and validate outputs against source data. Independent SQL fluency is a plus
• Cross-functional working style with Finance, Legal, and Sales leadership
• Judgment under pressure during compressed close windows

Nice to Have:

• Experience designing or improving quota-setting methodologies
• Audit support experience, with a habit of flagging issues in comp data, plan mechanics, or payouts before they escalate
• Familiarity with usage-based comp plans and the attribution challenges they create
• Experience with commission management platforms 
• Exposure to Salesforce data model, dbt, and BI tooling (Mode, Looker)
• Experience leading or co-leading an annual comp plan redesign

What You'll Do

AI & Agentic Automation

• Translate the existing SQL-and-spreadsheets comp process into agents, skills, and workflows so each cycle takes less manual work than the last.
• Examples we'd want to see from you in your first year: a payout-audit agent that pre-flags discrepancies against source data, a methodology skill that drafts and pressure-tests plan changes, an n8n workflow that routes rep escalations to the right reviewer, a Replit app that lets sales managers self-serve crediting questions, an agent that builds rep statements and explains the math.
• Tools we use today: Claude, Cursor, ChatGPT, n8n, Replit. You don't need a software engineering background. You do need a track record of shipping automations that took real work off someone's plate.

Comp Operations

• Run monthly and quarterly comp cycles for all GTM teams. Resolve discrepancies, reconcile with Finance and Payroll, run close QA. On-time cycles, errors caught before they escalate.
• Own the quarterly target-setting pipeline. Collect inputs, generate targets, drive approvals with the VP of Sales and CFO, finalize and distribute target packages. Partner with analytics on dashboards that make targets transparent to managers and reps.
• Handle new-hire guarantees, crediting exceptions, split credit decisions, LOA and territory moves, SPIFF design and payout, and manager-level comp questions. Sales and Finance judge the function on these calls.

Forecasting & Pipeline Analytics

• Own weekly and monthly forecast roll-ups across our GTM segments. Pressure-test rep and manager calls against pipeline data. Surface gaps to the VP of Sales and CFO before they show up in QBRs.
• Build and maintain pipeline dashboards covering coverage, stage conversion, velocity, and aging. Tie metrics back to compensation so managers see the full picture.
• Partner with FP&A on bookings forecasts, attainment modeling, and capacity planning for the next fiscal year.

Plan Design & Methodology

• Lead the annual comp planning cycle. Frame the plan, construct it across teams, run review and approval cycles with the CFO, CEO, VP of Sales, and other leadership. Manage Legal review and acknowledgment. Run the rollout. Own the retrospective.
• Bring a point of view on how plans are designed, how targets are set, and how the process runs. Identify changes that improve fairness or speed, then ship them in the next cycle.

What Success Looks Like

• First 90 days: Complete monthly comp cycles, partner on a quarterly cycle and one target-setting cycle. Know every plan and the people who own them. Ship your first agent or workflow that takes a piece of the cycle off the team's plate.
• First 6 months: Own a quarter-close from source data through payout. Propose specific changes to the operating process, backed by hours saved from the automations you've shipped. Take on forecasting & pipeline analytics work and partner on your first forecasting cycles
• First 12 months: Lead the annual plan design & capacity planning process. Show a portfolio of automations that save time in every subsequent cycle. GTM and Finance leaders bring comp questions to you first.

For CA-based applicants:

The base salary for this position is $130,000 - $170,000.

This position is eligible for equity in the form of stock options.

This position is eligible for Instawork benefits, including:

• Medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity

A variety of factors are considered when determining someone's compensation, including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that drive decision-making across Sales, Marketing, Finance and Revenue Operations.

This internship is designed as a hands-on, high-ownership experience centered around building new and/or migrating existing business-critical dashboards from Looker to Tableau, analyzing data models, performing data validation and producing documentation. You will deeply understand the underlying data, validate business logic, and improve the overall analytics foundation.

The ideal candidate is analytically curious, detail-oriented, and eager to learn how modern data teams operate. You should be comfortable working with data, asking questions, and translating business needs into structured analysis.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

What You'll Do.

• Dashboard Migration: Own the migration of dashboards from Looker to Tableau. Recreate charts, metrics, and filters while ensuring consistency with existing outputs. Develop a deep understanding of underlying queries and business logic to ensure accuracy.
• End-to-End Dashboard Development: Design and build a new Tableau dashboard from scratch using the data models you helped develop. Apply best practices in data visualization to deliver clear, actionable insights.
• Data Modeling & Transformation: Work with dbt to transform raw data into clean, analysis-ready models. Standardize metric definitions, optimize data structures for performance, and ensure models are scalable for business use.
• Data Validation & QA: Validate dashboard outputs against business expectations. Reconcile discrepancies between Looker and Tableau, test edge cases (date ranges, filters, segments), and identify logic or aggregation mismatches.
• Dashboard Documentation: Document key dashboards, including purpose, stakeholders, KPIs, and filters. Define metric logic clearly and capture dependencies across data sources and pipelines to improve transparency and maintainability.
• Data Pipeline Review & Gap Analysis: Review upstream data pipelines to understand how data flows into dashboards. Identify gaps such as missing data, delays, or schema inconsistencies, and recommend improvements to enhance data reliability.
• Final Presentation & Insights: Synthesize your work into a structured presentation. Share key learnings, data quality findings, improvements made, and insights uncovered. Provide recommendations for future GTM analytics investments.

About you

• Currently pursuing a Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, or a related field.
• You are available for a 8-10 week full-time internship during the Summer 2026 cycle.
• Strong foundational knowledge of SQL
• Experience with data visualization tools such as Tableau or Looker is required
• Basic understanding of data modeling or transformation concepts and exposure to dbt and Github
• Familiarity with cloud data warehouses such as Snowflake or BigQuery
• Strong attention to detail with the ability to validate data and identify inconsistencies.
• Comfortable working with structured and unstructured data to answer business questions.
• Eagerness to learn how data systems work end-to-end. Willingness to take ownership of projects and work through ambiguity.
• Ability to clearly document work and communicate findings to both technical and non-technical stakeholders.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• This is a non-exempt role with an estimated hourly rate of $37.99 - $53.85/hr, depending on experience.
• Hands-on experience with modern data tools including Tableau and dbt
• Understanding of how data flows from raw sources to business dashboards
• Experience in data validation, QA, and analytics best practices
• Exposure to real-world GTM data and decision-making processes
• Opportunity to present insights and recommendations to stakeholders

Perks

• Oakland HQ: Work from our beautiful, vibrant office in downtown Oakland with a flexible, hybrid-friendly culture.
• Fully Stocked Kitchen: Enjoy catered lunches, a variety of snacks, and premium coffee to keep you fueled.
• Community & Culture: Engage with "Everlawyers" through various ERGs (Employee Resource Groups) and team-building events.
• Wellness Focus: Access to onsite amenities and programs designed to support your physical and mental well-being.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

About Octave

Octave is a modern mental health practice that offers both in-person and virtual therapy. We focus on making high-quality care more accessible and affordable by partnering with insurance providers. Our goal is to support clients and clinicians with a system built on equity, effectiveness, and sustainability.

About the Role

Octave is seeking to partner with existing group practices in California (Los Angeles, Sacramento, Riverside, San Francisco, and San Diego areas) that want to provide excellent mental health care, both in-person and virtually. As an Octave partner, your team will join a supportive community of clinicians focused on client-centered, evidence-based therapy. 

At Octave, we take care of all backend operations so your clinicians can focus on providing care. Our team manages credentialing, billing, marketing, technology support, and client referrals. This allows your clinicians to focus primarily on seeing the clients we connect them with and completing session documentation, removing the administrative burden from your group practice.

Your providers will support adult clients managing stress, anxiety, depression, and related concerns. We emphasize evidence based practices such as CBT and DBT with a strong commitment to culturally responsive care. 

What You’ll Do

• Provide therapy to adults dealing with stress, anxiety, depression, and other concerns.
• Use short-term, evidence-based approaches like CBT or DBT.
• Offer culturally responsive care.
• See clients virtually and/or in person (you must have your own office space to hold in-person sessions).

Qualifications for Group Practices

• Must have at least 3 or more fully licensed clinicians who would be joining Octave.
• Required to have your own office space and are willing to provide in-person services (located within the markets we're currently hiring for).
• All clinicians must be fully licensed (no associate or intern level providers).
• Licensed in California (LMFT, LPCC, LCSW, PsyD)
• Must be licensed and in good standing with your governing licensing board.
• At least 1 year of post-license experience (2+ preferred).
• Training in therapies such as CBT, DBT, trauma-focused treatments, or similar.
• Certain payor relationships may exclude you from employment.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on a laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements

Octave IT supports these minimum system requirements for the most optimized experience using Octave telehealth tools:

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Additionally, Octave IT does not support using iOS, Android, or ChromeOS as your primary device.

Compensation

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates:
$122-$135/hour for master's level license.
$122-$145/hour for doctoral level license.

Virtual Rates:
$117-$130/hour for master's level license.
$117-$140/hour for doctoral level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

About the Company:

About the Role:

Octave is looking to partner with Licensed Clinicians to work within an organizational structure to provide high quality behavioral health care to our clients. Octave Clinicians will join a diverse clinical team in providing therapy in a collaborative, client-centered, evolving environment. Octave Clinicians demonstrate strong clinical service thinking, informed by evidence-informed therapies. It is our effort to drive quality access and customize mental health treatment plans and service delivery for our clients. You will treat adult clients with stress, depression, anxiety, or other mental health concerns via video, using short-term, evidence-based therapies. Candidates must be licensed in California at the masters or doctoral level, well-versed in evidence-based therapies, like CBT or DBT, and expert in the delivery of culturally responsive care.

We are seeking Licensed Clinicians who are interested in working both in-person and remotely out of our Westwood Clinic. As a Clinician with Octave, you will be able to build a caseload that gives your clients the option to see you virtually or in person.

You will have the opportunity to see in-person clients from our Westwood clinic location and may continue seeing virtual clients from your home office as well. A separate commercial office space is not required, as the in-person sessions will take place within the Octave clinic.

You are a good fit if you are:

• Passionate about expanding access to high-quality mental health care.
• Skilled at providing short-term, evidence-based therapies to a diverse range of adult clients.
• Adept at building and maintaining a strong therapeutic alliance.
• Willing to deliver feedback-informed care using standardized measures.
• Expert at providing culturally responsive and culturally competent care.
• Open to learning from your colleagues and clients.
• Someone who thrives in a culture of thoughtful feedback and transparency.

Qualifications:

• LMFT, LPCC, LCSW, PsyD
• Current License in California.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.
• Must be licensed and in good standing with your governing licensing board.
• Preferred 1 year of related post-license clinical experience required. 
• At least 2 years of experience preferred in one or more of the following areas:
  • CBT for depression or anxiety
  • DBT for emotion dysregulation
  • Unified Protocol for emotional distress
  • CPT or PE for trauma

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements: 

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Compensation: 

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates: 
$122-$135/hour for master's level license.
$122-$145/hour for doctoral level license.

Virtual Rates: 
$117-$130/hour for master's level license.
$117-$140/hour for doctoral level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

About the Company:

About the Role:

Octave is hiring Licensed Clinicians to work within an organizational structure to provide high quality behavioral health care to our clients. Octave Clinicians will join a diverse clinical team in providing therapy in a collaborative, client-centered, evolving environment. Octave Clinicians demonstrate strong clinical service thinking, informed by evidence-informed therapies. It is our effort to drive quality access and customize mental health treatment plans and service delivery for our clients. You will treat adult clients with stress, depression, anxiety, or other mental health concerns via video, using short-term, evidence-based therapies. Candidates must be licensed in California at the masters or doctoral level, well-versed in evidence-based therapies, like CBT or DBT, and expert in the delivery of culturally responsive care.

We are seeking out Licensed Clinicians who are willing to work both in-person and remotely. As a Clinician with Octave, you will be able to build out a caseload that gives your clients the option to see you virtually or in-person. It is ideal that you already have a commercial clinical space that you can operate from to see clients in person through Octave. At this time, we are not providing an office space. You are able to see virtual clients from your home office, but we do require that you see in-person clients from a commercial office setting.

You are a good fit if you are:

• Passionate about expanding access to high-quality mental health care.
• Skilled at providing short-term, evidence-based therapies to a diverse range of adult clients.
• Adept at building and maintaining a strong therapeutic alliance.
• Willing to deliver feedback-informed care using standardized measures.
• Expert at providing culturally responsive and culturally competent care.
• Open to learning from your colleagues and clients.
• Someone who thrives in a culture of thoughtful feedback and transparency.

Qualifications:

• LMFT, LPCC, LCSW, PsyD
• Current License in California.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.
• Must be licensed and in good standing with your governing licensing board.
• Preferred 1 year of related post-license clinical experience required. 
• At least 2 years of experience preferred in one or more of the following areas:
  • CBT for depression or anxiety
  • DBT for emotion dysregulation
  • Unified Protocol for emotional distress
  • CPT or PE for trauma
• Must have your own office space and are willing to provide in-person services in the Los Angeles, Long Beach or Anaheim area.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements: 

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Compensation: 

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates: 
$122-$135/hour for master's level license.
$122-$145/hour for doctoral level license.

Virtual Rates: 
$117-$130/hour for master's level license.
$117-$140/hour for doctoral level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Senior Associate, Software Engineer – Data Platform & AI Applications
San Francisco, California 

The Opportunity 

Jordan Park is seeking a Senior Associate to help build and extend our enterprise data platform and AI application ecosystem.

This role combines advanced data engineering, cloud infrastructure, DevOps discipline, and applied AI development. The Senior Associate will operate as a senior individual contributor — owning major platform components while partnering closely with leadership and business teams. This is a hands-on technical role with meaningful scope and influence.

In this role, you will be responsible for enabling trusted analytics across the firm, integrating proprietary data into AI systems, automating operational workflows and creating custom apps and tooling.

Your Role

• Data Platform Engineering
  • Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python)
  • Develop and manage orchestration workflows (Airflow or equivalent)
  • Create data ingestion processes and API integrations

• AI Application Development
  • Build and develop the use of AI in the form of: LLM apps, RAG architectures, Custom GPTs & Agent systems
  • Integrate proprietary firm data securely into AI workflows
  • Establish observability standards
  • Translate AI experimentation into production-grade tools

• Cloud Infrastructure (AWS)
  • Support AWS-based infrastructure including VPCs, ECS, EKS, S3, etc.
  • Containerize services using Docker and manage workloads in Kubernetes
  • Establish logging, monitoring standards

• Python Development & Automation
  • Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling
  • Build reusable modules and maintain code standards
  • Create automation solutions that reduce manual operational effort

• Projects & Communication
  • Partner cross-functionally with Investment, Client Advisory, Operations, and Finance teams
  • Be self-directed in project management and delivery
  • Translate business requirements into technical architecture
  • Deliver executive-ready summaries of platform and AI initiatives

Qualifications

Required:

• Bachelors degree with 5–8 years of experience in: data engineering, platform engineering, cloud infrastructure
• Requisite experience in AI Application development including LLM APIs and RAG Pipelines
• AWS experience including Docker and Kubernetes
• Advanced Python proficiency
• Advanced SQL and data modeling
• Experience implementing CI/CD and DevOps best practices
• Strong written and executive communication skills
• Experience in wealth management, asset management, or fintech
• A positive, helpful and can-do attitude

Preferred:

• Salesforce data integration experience
• Experience designing secure AI architectures
• Experience mentoring junior engineers

Compensation & Benefits

Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks.  We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $125,000 to $160,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs. 

Our benefits package includes:  

• Medical, dental & vision insurance – 100% of premium covered for employees
• 401k participation with employer contribution
• Generous paid time off 
• Commuter benefits program (pre-paid tax dollars towards your commute)
• Fitness Reimbursement
• Annual Professional Development Stipend 

Associate, Software Engineer – Data Platform
San Francisco, California

The Opportunity 

Jordan Park is seeking a Technology & Data Engineering Associate to advance our data platform and data quality initiatives. This role operates at the intersection of data engineering, analytics, data quality management, and AI enablement.

The Associate will design, build, and maintain production-grade data systems while partnering directly with executives, investment teams, operations, and client service professionals to drive measurable business outcomes. This is a hands-on technical role with meaningful ownership and visibility.

Your Role

• Data Platform
  • Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python)
  • Develop and manage orchestration workflows (Airflow or equivalent)
  • Create data ingestion processes and API integrations
  • Monitor pipeline reliability and performance; proactively resolve issues

• Data Quality & Controls
  • Develop deep expertise in firm data, systems, and processes
  • Design reconciliation frameworks across systems and automate data validation/exception reporting
  • Perform detailed variance analysis and root cause investigations
  • Partner with operations and finance teams to ensure reporting integrity

• Analytics & Business Intelligence
  • Architect and maintain Tableau dashboards used across the firm
  • Train and support internal stakeholders on self-service analytics

• Python Development & Automation
  • Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling
  • Build reusable modules and maintain code standards
  • Create automation solutions that reduce manual operational effort

• Projects & Communication
  • Work closely with the Chief Technology Officer (CTO) to deliver clear executive summaries of data findings, operational trends, etc.
  • Document project discovery and project management artifacts
  • Translate technical work into business impact
  • Present findings to senior leadership

Qualifications

Required:

• Bachelors degree with 3–5 years of experience in Data Engineering, Analytics, Business Intelligence or related technical role
• Advanced SQL proficiency (production-level experience)
• Experience with dbt and Snowflake (or similar modern data stack)
• Strong Python skills for data engineering and automation
• Experience with Tableau or similar BI platform
• Strong written and verbal communication skills
• A positive, helpful and can-do attitude

Preferred:

• Experience in wealth management, asset management, fintech, or financial services
• Familiarity with Salesforce reporting and CRM data models
• Experience building AI workflows or internal GPT tools
• Experience with cloud infrastructure (AWS preferred)

Compensation & Benefits

Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks.  We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $115,000 to $150,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs. 

Our benefits package includes:  

• Medical, dental & vision insurance – 100% of premium covered for employees
• 401k participation with employer contribution
• Generous paid time off 
• Commuter benefits program (pre-paid tax dollars towards your commute)
• Fitness Reimbursement
• Annual Professional Development Stipend 

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

About the Team: 

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

About the Role:

• On the Factory Platform team, you will play a key role in the software development life cycle from initial concept, trade studies, design, implementation, and ongoing iteration.   
• Develop applications used to plan and schedule purchasing and manufacturing operations, access and analyze engine and component test data, and several other tools used by engineers and operators across the company. 
• Follow agile development practices and implement quality software that is continuously integrated and deployed.   
• Solve complex problems with simple solutions. Work directly with users and stakeholder teams to figure out system requirements, implement the solutions, and iterate. 

Technologies we use: 

• Python, React, Typescript, Go. 
• Spark, Iceberg, Duckdb, Redshift, DBT, Postgres, Mongo. 
• AWS, Kubernetes (both cloud and on-prem), Terraform, Helm. 

About You:

• Bachelor's degree or higher in Computer Science or a related Engineering field (Computer, Software, Electrical, Aerospace).  
• 7+ years of experience building, shipping, and iterating on multiple apps and services in your career so far. 
• Experience designing in collaboration with non-software stakeholders.
• Proficient in whatever languages and tools you love most, and willing to learn new ones. 
• Expert in front-end frameworks (React) and related tools. 
• Passionate about mentoring and growing the engineers around you. 

Nice to haves but not required:  

• Experience designing and scaling service architectures that support high-performance front-end operations. 
• Experience with systems-level programming like synchronization primitives, memory management, etc. 
• Demonstrated experience developing low-latency, safety-critical front-ends. 
• Experience developing, debugging, and shipping software products on large code bases that span platforms and tools. 

About the Strategic Finance Team

Zipline’s Strategic Finance team sits at the center of the company’s commercial strategy, partnering closely with Go-to-Market, Marketing, Product, and Engineering to guide critical decisions and build the financial foundation for scale.

The team drives pricing, forecasting, partner deal structuring, user and partner economics, and scenario planning across both core revenue channels and emerging products like Zipline Marketplace.

Blending analytical rigor with cross-functional influence and an entrepreneurial mindset, Strategic Finance uncovers growth opportunities, improves efficiency, and strengthens long-term business value. The team is based at Zipline’s South San Francisco headquarters in an in-person/hybrid environment.

The Role

As a Strategic Finance Intern supporting Operations Finance, you will play a key role in helping Zipline understand and optimize the financial performance of our global operations. You’ll work closely with Operations, Supply Chain, Finance, and Data teams to build analyses, streamline reporting, and develop insights that directly influence strategic and operational decisions.

This role is ideal for someone who loves solving complex problems, is comfortable with data, and wants hands-on exposure to how a hardware-enabled, technology-driven business operates.

What You'll Do

• Support Operations Finance with metric development, reporting, forecasting, and financial modeling
• Query and analyze large operational datasets using SQL (Snowflake experience a plus)
• Build repeatable dashboards and tools in Excel, Google Sheets, and BI platforms to drive visibility into performance
• Partner with operations leaders to understand drivers of cost, efficiency, and performance across global sites
• Support ad-hoc analyses related to operational efficiency, unit economics, and scaling strategies
• Assist in month-end processes, variance analysis, and KPI reviews
• Contribute to cross-functional initiatives involving Supply Chain, Product, and Data teams
• Help improve internal processes by identifying gaps and implementing simple automation or workflow improvements

What You'll Bring

• A strong analytical mindset with comfort getting into the details and understanding how complex operations function
• Experience with SQL, relational databases, and working with large datasets (Snowflake preferred; experience with dbt or modern data stacks is a plus)
• High proficiency in Excel and Google Sheets; ability to build and manage structured and dynamic financial models
• Strong communication skills—comfortable interacting with cross-functional partners who have diverse backgrounds and perspectives
• Ability to work with imperfect information and drive clarity in a fast-paced environment
• Strong organizational skills and a desire to create processes that bring structure and accountability
• Interest in hardware-focused or technology-enabled businesses; experience in technology, healthcare devices, or operations-heavy industries is a plus
• Knowledge of financial statements, accounting fundamentals, and core financial analysis concepts (e.g., unit economics, scenario analysis, return on capital)
• A “general athlete” mentality—eager to jump into a wide variety of problems and learn quickly
• Prior experience in operational finance, corporate finance, investment banking, consulting, or analytics is a plus, but not required

What Else You Should Know

Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Summer 2026 interns from May or June to August. 

Applicants must be legally authorized to work in the United States without the need for employer-sponsored work authorization now or in the future.

Candidates are limited to three (3) applications within a 30-day period.

The starting cash range for this internship is $35 - 39/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. 

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

We are seeking a Principal Analytic Engineer to lead how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC.

This role sits at the intersection of data engineering and business operations, with responsibility for shaping how data from a wide range of systems—CMS platforms, web analytics tools, ad tech systems, and internal applications—is collected, standardized, and made available for use.

As a senior individual contributor, you will operate as both architect and hands-on builder: designing data models, guiding data ingestion and transformation strategies, and working closely with stakeholders to ensure data aligns with real business needs across editorial, audience, product, and advertising teams.

You will have a chance to work on some of the best brands in media including You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Key Responsibilities

• Define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Evaluate and establish appropriate sources of truth across competing systems, ensuring data is accurate and fit for use
• Design and maintain scalable data models that transform raw data into structured, business-ready datasets
• Lead development of transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Establish standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Structure data to support consistent interpretation across Editorial, Product, Audience, Ad Sales, and Finance teams
• Support BI tools (e.g., Looker) with well-defined, governed datasets and reduce fragmentation in reporting
• Translate business needs into scalable data solutions, working closely with cross-functional stakeholders
• Act as a central authority on data meaning, resolving questions around definitions, discrepancies, and interpretation
• Establish best practices for modeling, transformation, and documentation while mentoring analysts and engineers
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

You do not need to check every box for the experience below. If you are passionate about this opportunity, we would love to hear from you.

• 8+ years of experience in data engineering, analytics engineering, or related roles
• Expert-level SQL and strong experience designing scalable data models for analytics and reporting use cases
• Proven experience working with modern data warehouses (e.g., Snowflake, BigQuery) and cloud environments (AWS and/or GCP)
• Hands-on experience building transformation workflows (e.g., dbt or similar tools)
• Experience working with complex, multi-source data environments (e.g., combining web analytics, ad tech, and business systems)
• Familiarity with Google Analytics 4 and Parsely analytics platforms
• Experience working with advertising data (e.g., Google Ad Manager, programmatic ecosystems)
• Experience evaluating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker

What Success Looks Like

• Clearly defined and trusted sources of truth for audience, content, and revenue data across all teams
• Elimination of recurring discrepancies between key systems (e.g., web analytics vs. ad platforms) through thoughtful data modeling and source selection, and ability to confidently answer the question “why are these two numbers different?”
• Increased business partner engagement in self-serve analytics platforms, with teams relying on shared, well-structured datasets instead of one-off analyses
• Broad adoption of standardized data models, minimizing fragmented reporting and duplicate logic
• Strong alignment across Editorial, Product, and Ad Sales on how performance is measured and interpreted
• Increased confidence in data, with stakeholders relying on outputs without needing to independently validate or reconcile them
• A unified, usable view of data that enables better decisions around content performance, audience engagement, and monetization by consolidating overlapping data models and taking ownership of term definitions across all data models to bring standardization and clarity to reporting semantics across the company
• This role succeeds through strong collaboration with other members of the Data team—sharing context, reviewing work, and co‑owning decisions—so that improvements to data models and metrics are durable beyond any single individual.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $150k - $170k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Buscamos terapeutas bilingües (español/inglés) en California

Daybreak Health is actively recruiting bilingual Spanish/English associate clinicians to serve our growing caseload of Latino students and families across California. This is a remote role open to ASW, APC, and AMFT license holders, with free supervision (when caseload requirements are met), guaranteed pay, and flexible scheduling.

Our partner school districts across California serve large Spanish-speaking communities, and the need for culturally competent bilingual care is significant. If you speak Spanish and are passionate about serving Latino youth — this role was built for you.

What Makes This Different

• Free supervision — no cost to you when caseload requirements are met, with a Daybreak-assigned supervisor
• Guaranteed pay for late cancellations and no-shows — your time is always compensated
• $45–55/hr — one of the most competitive rates for associate-level telehealth in California
• Fully remote — work from anywhere in California
• Flexible scheduling including evenings and weekends
• No billing, no credentialing, no admin — we handle everything
• 90% of students say we matched them to the right clinician

A Note on Where You Are in Your Career

This role is best suited for clinicians who are actively accruing hours toward full licensure. If you've already completed your required hours, this may not be the right fit — but we'd still encourage you to reach out as our needs evolve.

What Our Clinicians Are Saying

"As we learn, we're teaching each other. A lot of the interventions that I've used are things I've learned from other clinicians. I really love the clinical collaboration."

"I absolutely love working with my young clients. They are so real, honest, and...hilarious! They're the ones inspiring me!"

The Work

You'll provide evidence-based teletherapy to K–12 students in California school districts, collaborating with school counselors and families. You'll participate in case consultations and contribute to clinical program development as we grow.

What You Need

• Active ASW, APC, or AMFT license in California (required — we are only able to hire these three license types at this time)
• Spanish/English bilingual fluency (strongly preferred — bilingual applicants will be prioritized)
• Currently accruing hours toward full licensure
• Experience or strong interest in working with school-aged youth and families
• Comfortable with telehealth and EHR systems
• Available Mon–Fri afternoons/evenings (weekend slots also available)

Preferred

• Experience in CBT, DBT, or similar modalities
• Prior school-based or youth-focused experience
• Active NPI and CAQH

The Ascend Story 

Founded to transform mental health care access, Ascend Healthcare delivers integrated psychiatric and behavioral health solutions with a commitment to equity, compassion, and operational excellence. We partner directly with health centers to build fully integrated, sustainable behavioral health programs—bringing deep clinical expertise, operational support, and long-term stability. 

Our work environment fosters: 

• Collaboration and teamwork 
• Patient-First Mindset 
• Work from home opportunities 
• Career Growth and Professional Development Training 

Why Ascend? 

You’ll be joining a team delivering innovative, compassionate care to communities that need it most. At Ascend, your work drives real impact—and your career grows alongside it. We believe in a “no wrong door” treatment model that finds ways to say “yes” to any patient referral rather than a multitude of exclusionary criteria found elsewhere. 

Position Summary:

We are looking for a Bilingual Licensed Independent Therapist (LCSW, LPCC, LMFT) to provide counseling and therapy treatment to our patients. Services will be provided remotely, through telemedicine, to patients of our Community Health Center partners. We are a "say yes" first clinical provider and look to treat patients where they are and guide them along their journey to recovery and stabilization.

*Clinician must have an active, unrestricted behavioral health license in California 

Key Areas of Ownership:

• Provides patient care modalities of evidence-based practices to best meet the clinical needs of the patients. Examples include; CBT, DBT, Solution-Focused Therapy, Psychoeducation (Symptom Recognition), Trauma Therapy, Addiction Therapy, Acceptance and Commitment Therapy, Bereavement/Grief Counseling, etc.
• These specific treatment modalities will be implemented in both the individual and group therapy setting, with a focus of engaging patients in their treatment plan.
• Review and signature of patient clinical Psychosocial assessment, diagnosis, treatment plan, and consents as needed for the patient in a timely manner. Maintenance of the clinic record, including documentation of activities performed as part of the service delivery process.
• Documents all services and patient activities appropriately. Ensures documentation complies with best clinical practices, contracts, regulatory and other legal
• Conducts crisis intervention for the individual and family based on the individual’s safety plan.
• Participate in regular case planning with the involved Multidisciplinary Team as new information is gathered to ensure the most clinically appropriate patient disposition.
• Participate in individual and group supervision as required. Participate in ongoing education, including in-services, training, and other activities to maintain and improve competency. Demonstrate competency through post-testing, skill observation, and performance as assessed by direct supervisor
• Provides case management services to promote recovery and community reintegration as needed.
• Performs other duties as assigned

Qualifications:

• Active, unrestricted mental health license in state of primary residence and California
• Comfortable working in a remote environment
• Patient-first mindset 
• Trained and/or certified in evidence-based trauma modalities such as TF-CBT, EMDR, Brain Spotting, Somatic-Based Approaches, Narrative Therapy, Psychodynamic Attachment-Based Therapy, Cognitive Processing Therapy (CPT), Polyvagal Theory, or Family Systems (IFS). 
  

Physical Requirements: This is a fully remote position but may require in-person attendance as company needs arise. Please be aware the below physical requirements should be considered prior to applying to the position: 

• Prolonged Sitting: Ability to sit for extended periods during working hours. 
• Manual Dexterity: Good hand-eye coordination and manual dexterity for using a computer keyboard, mouse, and other office equipment. 
• Visual Requirements: Adequate vision for reading computer screens and documents. 
• Communication: Clear verbal and written communication skills for virtual meetings and correspondence. 
• Hearing: Sufficient hearing ability for participating in phone calls or virtual meetings. 
• Work Environment: Access to a quiet, dedicated workspace free from distractions with reliable internet connectivity.  

• 401(k)
• 401(k) matching
• Dental Insurance
• 5, 8-hour or 4, 10-hour shifts
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Vision insurance