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.

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 of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• 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 LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• 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 of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• 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 LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• 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 of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• 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 LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• 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 of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• 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 LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• 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 of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• 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 LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• 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 of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• 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 LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• 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  #ZR

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)

Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.

Our B2B Team

Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions.

About the Role

As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance.

You Will

• Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights
• Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs
• Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation
• Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks
• Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders
• Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation

About You

If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you!

You Have

• Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience)
• 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments
• Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets
• Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports
• Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights
• Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences
• Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus
• Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices
• Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred
• Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities

What Makes This Job Amazing

• You’ll help millions of people live healthier lives while supporting enterprise partners at scale
• You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust
• You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data
• You’ll grow quickly in a transparent, high-performance environment with meaningful ownership

What You'll Earn and Enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value, not just the role you fill.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier, premium plans for you and your family, including medical, dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $101,000 - $129,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

This position does not offer visa sponsorship now or in the future.

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions.

Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

• Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
• Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem.
• Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business.

Qualifications

• 6-10 years of professional experience in a data engineering or data-driven software engineering role
• Exceptional Python and SQL skills
• Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
• Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
• Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
• Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
• Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
• Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
• Detail-oriented and able to multitask and work in a fast-paced environment
• Able to work independently while also being a strong team player
• Excellent written and verbal communication
• Passionate about learning and mastering cutting-edge technologies
• Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
• Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Staff Software Engineer, Data Platform

About Ladder

We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided).

About the role  

We are looking for a powerhouse Staff Software Engineer with battle-tested experience building ETL pipelines at massive scale. You will take ownership of our toughest backend and data plumbing challenges, bridging our transactional systems (Datomic) with our analytical and streaming infrastructure (BigQuery, Kafka, Flink, DBT) to architect resilient, elegant, and high-volume data pipelines. If you dream in immutable data structures and love using functional programming to untangle architectural knots, we need you. 

The ideal candidate brings demonstrated experience in software engineering, leadership maturity and a deep understanding of  engineering infrastructure.  This is a remote role based in one of the 22 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI.  Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's.

How You'll Make a Difference

As a senior technical leader on the team, you won't just be writing code, you'll be shaping our entire data strategy. You will:

• Architect and Build: Design, deploy, and scale robust data pipelines that reliably move and transform data between Datomic, Kafka, and BigQuery.
• Tame the Chaos: Build elegant, fault-tolerant ETL systems leveraging frameworks like DBT to ingest, sanitize, and normalize messy, unstructured data from dozens of third-party APIs and legacy vendors.
• Master the Stream: Evolve our event-driven architecture, optimizing streaming performance (Kafka/BEAM) to support real-time machine learning models
• Drive Technical Excellence: Act as a force multiplier for the engineering team. You'll set standards for backend architecture in Clojure, mentor peers, and make high-stakes technical decisions that scale with our rapid growth.
• Bridge the Gap: Partner closely with Data Science, Product and Business Development teams to ensure our data infrastructure proactively serves the evolving needs of the business.

Who You Are

• A seasoned technical leader: You bring 8+ years of rigorous software or data engineering experience to the table, backed by a strong academic foundation (BS or MS in Computer Science or a related field). You have a proven track record operating at a Staff or Principal level, where you don't just write code - you define technical strategy and mentor teams.
• A Clojure authority: You have deep, production-grade experience natively architecting complex backend systems in Clojure and the JVM. Functional programming and immutable data structures aren't just concepts to you; they are your preferred tools for building highly reliable software.
• A medallion architect: You have 4+ battle-tested years designing high-volume ETL/ELT pipelines at massive scale. You are an expert at structuring data lakes through Raw/Bronze, Cleansed/Silver, and Curated/Gold layers, and you rely on advanced dbt modeling to ensure pristine data quality.
• A modern data stack master: You have extensive, hands-on experience operating cloud data warehouses (specifically BigQuery), streaming infrastructure (Kafka), and processing frameworks (Apache Beam, Flink, or Spark). Wrangling messy, unstructured third-party API data into clean, ready-to-query models is second nature to you.
• An autonomous systems thinker: You thrive in ambiguity and deeply understand the harsh realities of distributed systems. You don't just patch bugs; you design elegant, event-driven architectures that prevent entire classes of problems from happening in the first place.

Technologies We Use

• Backend: Clojure, JVM
• Data: Datomic, BigQuery, BEAM, Sigma, SQL
• Infrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, GCP, GraphQL
• Frontend: Typescript, JavaScript, React

What we Offer 

Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:

• Excellent medical, dental, and vision coverage | We offer competitive healthcare,dental and vision plans for you and your family.
• Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure. 
• Stock options | We offer competitive stock option packages to participate in the success of building Ladder
• A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
• Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses.
• Commuter benefits | When you work from the office, you will receive pre-tax 
• benefits for your commute and free parking.
• A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together.
• Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
• Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.
• Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.

The base pay range targeted for this position is $160,000 - $230,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.

Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!

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.

Position Overview:

We’re looking for a Senior Data Implementation Engineer to help lead and accelerate Acadian’s data transformation efforts. This role is central to reimagining and rebuilding our data platform so that we can continue to scale our investment research, production data workflows, and operational capabilities in a rapidly evolving landscape.

You’ll be hands-on in designing and implementing modern data pipelines and platform capabilities using tools such as Apache Arrow, Polars, Dagster, and other emerging technologies. You’ll also help shape how we use AI-assisted development tools, such as Claude & ChatGPT, and related automation approaches, to improve the speed, quality, and maintainability of data pipeline development.

This is a senior engineering role for someone who can operate across both strategy and execution: deeply understanding existing systems, designing pragmatic transition paths, mentoring others, and building reliable, scalable, high-performance data infrastructure that directly supports Acadian’s quantitative investment process.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do

• Lead Data Pipeline Design and Implementation
  • Design, build, and optimize robust data pipelines that are reliable, scalable, observable, and performant. Use modern data engineering tools and patterns to support investment research, production workflows, and downstream analytics.
• Drive System Modernization
  • Deeply understand existing data systems, identify architectural limitations, and lead the transition toward more modern, maintainable, and efficient data architectures.
• Shape Technical Direction
  • Partner with Data Platform Engineering, Data Analysis, and investment teams to define implementation patterns, pipeline standards, and architectural approaches that can scale across the organization.
• Apply AI Tooling to Engineering Workflows
  • Use AI-assisted development tools such as Claude, ChatGPT, or similar technologies to accelerate pipeline development, automate repetitive workflows, improve documentation, generate tests, and enhance developer productivity.
• Mentor and Lead Others
  • Provide technical guidance to junior and mid-level engineers. Help raise the engineering bar through code reviews, design discussions, pairing, documentation, and thoughtful mentorship. Lead small project teams or workstreams when needed.
• Improve Reliability and Operational Excellence
  • Develop systems with strong testing, monitoring, lineage, data quality checks, and operational supportability. Help ensure that data pipelines are resilient, transparent, and easy to maintain.
• Collaborate Across Teams
  • Work closely with stakeholders across technology, data, research, and investment teams to understand requirements, resolve ambiguity, and deliver solutions that create measurable business value.
• Continuously Improve the Platform
  • Identify opportunities to simplify, automate, and improve the data ecosystem. Champion practical innovation while balancing speed, stability, maintainability, and long-term architectural quality.

We’re Looking for Teammates With

• Bachelor’s degree in a relevant field

• A strong background in data engineering, data platform implementation, or data-intensive software engineering, ideally with 5+ years of experience in a financial, investment, or technology-driven environment.
• Deep experience building production-grade data pipelines, including ingestion, transformation, validation, orchestration, monitoring, and deployment.
• Strong Python programming skills, with relevant experience working with Dagster, Airflow or similar technologies.
• Experience with modern data architecture patterns such as data lakehouse, Medallion architecture, composable data systems, microservices, and event-driven or workflow-oriented architectures.
• Familiarity with Data Mesh concepts, including decentralized data ownership, domain-oriented data products, governance, and discoverability.
• Experience with orchestration, workflow, and data transformation tools such as dbt, Polars, Pandas, Apache Arrow, or comparable technologies.
• Practical experience using AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot, or similar platforms to support data pipeline development, automation, testing, documentation, and engineering productivity.
• Demonstrated ability to mentor engineers, lead technical workstreams, and influence engineering practices across a team.
• A strong sense of ownership and the ability to operate effectively in ambiguous environments, balancing tactical delivery with long-term architectural thinking.
• A passion for building systems that are efficient, scalable, reliable, observable, and easy for others to use.
• An understanding of how data infrastructure supports the broader investment process, and a desire to deliver solutions that improve outcomes for clients and create meaningful business impact.

The base salary range for this role is $175,000 – $200,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

About the Role

Our Business Intelligence team transforms complex data into actionable insights and impactful reporting. We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high-performance, high-impact environment.

What You’ll Accomplish

• Engage with cross-functional product and engineering teams to define analytics requirements and metrics.
• Build robust, exec-facing dashboards to support key business decisions across the organization.
• Design, build, and maintain scalable dbt and Looker data models that support analytics, reporting, and domain ownership.
• Use data modeling, statistics, and other analytical techniques to extract and analyze data from large datasets, identifying trends, patterns, and anomalies to drive insights.
• Develop and manage our data analytics platform Looker.

Your Expertise

• Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or related field, or equivalent professional experience.
• At least 4 years of experience in analytics or business intelligence, including proficiency with data visualization tools such as Looker or Tableau.
• Proven expertise in writing, optimizing, and utilizing SQL queries within a business context.
• Familiarity with infrastructure components, ETL processes, and reporting/analytic tools and environments.
• Strong ability to manage and execute fast-paced, dynamic projects with a high degree of organization and independence.
• Ability to perform rigorous data analysis when needed to support high-impact business and product decisions.
• Effective communication skills for presenting analysis results to stakeholders, fostering collaboration, and influencing decision-making across teams.

Nice to Haves

• Experience using dbt, Airflow, or other modern ELT/ETL workflows.
• Experience leveraging AI/LLM tools (e.g., ChatGPT, Claude Code) to accelerate analytics workflows, including SQL generation, data exploration, and documentation
• Experience building dashboards and analyses using tools like Hex, Jupyter, or other reproducible notebook platforms
• Proficiency in Python, R, or similar programming languages for data analysis and statistical modeling
• Experience contributing to or establishing modeling standards, testing frameworks, or CI/CD workflows for analytics code.

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $110,000 - $155,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-DNI

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Hi, we're Oscar. We're hiring an Analytics Engineer I to join our Data Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Analytics Engineer I designs, builds, and maintains dimensional models and data transformations that convert raw operational data into reliable, well-structured analytical assets. You’ll work within Oscar’s unified data foundation in dbt, partnering with domain experts and stakeholders to capture business logic and translate it into dimensional models that serve analytics use cases across the organization. Under the guidance of more senior Analytics Engineers, you’ll build and maintain models, implement automated tests to ensure long-term data product health, and contribute to the semantic layer that powers enterprise business intelligence. This is a hands-on role focused on growing your craft in dimensional modeling, SQL, and analytics engineering within a healthcare environment.

You will report into the Associate Director, Data Science. 

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.

Pay Transparency: The base pay for this role is: $106,812 - $140,190.75 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Demonstrates a strong working knowledge of Oscar's analytics technologies and tools as well as the breadth of content contained within.
• Contribute to the development and documentation of best practices for engineering and analytics development, consistent with industry standards and internal guidelines.
• Under the guidance of more senior Analytics Engineers, partner with Subject Matter Experts and Business stakeholders to explore data, define business requirements, design and implement solutions for one or more data transformation and/or downstream semantic layer systems.
• Advance the Analytics Engineering roadmap by executing on small-to-medium projects with minimal oversight
• Contribute to the administration of the analytics platform, including but not limited to active participation in support channels and actioning  access requests.
• Leverage a working knowledge of existing data quality checks as well as monitoring and alerting pipelines to perform Root Cause Analyses of data defects as needed and escalate to the appropriate team when warranted.

Requirements:

• 1+ years of experience in Analytics Engineering, Data Science, or a related field.
• 1+ years of experience working with SQL.
• 1+ years of experience developing in a semantic modeling language (e.g. LookML).
• 1+ years of experience developing within a modern data transformation tool like DBT.
• 1+ years of experience with cloud database tools (GCP, AWS, Azure).

Bonus points:

• Experience working with healthcare or insurance industry data, analytics, and reporting.
• Experience with Google Cloud Platform and dbt.
• Experience building dimensional models (star schemas, slowly changing dimensions).
• Strong communication skills, as demonstrated by experience partnering with non-technical stakeholders.

Role

We are looking for a backend-oriented Senior Software Engineer to help us advance our clinical AI by designing and building core systems that handle, process, and analyze clinical data at scale. The ideal candidate for this role has a track record of delivering complex features in incrementally valuable releases and with a high bar for quality. While this role focuses on backend systems, strong candidates are able to deliver across the stack.

**This role is fully remote within the US**

What You’ll Do

• Design, build and launch new backend services, capabilities and improve the overall quality of SmarterDx’s apps
• Collaborate across disciplines to understand our users and iterate on new ideas
• Protect patients’ privacy and security through secure coding practices
• Research and advocate for improved techniques, processes, and designs within the team
• Support SmarterDx’s apps in production

What You Bring

• 5+ years of development experience with a focus on backend and cloud-based solutions
• Expertise in Python 
• Experience working with Postgres or a similar relational database
• Experience building cloud-native distributed systems and working with event-driven architectures
• Experience working with data scientists to plan, build, and iterate on deliverables
• Experience working in a security-conscious environment
• Excellent communication and team collaboration skills
• Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience

Nice To Haves

• Experience at a scale-up, or rapid growth, technology company 
• Experience in the health tech domain, particularly in hospital billing systems
• Experience working with Kubernetes
• Experience working with Airflow and tools that handle ELT pipelines
• Experience with Snowflake and dbt
• Experience with full stack ownership and development (Javascript/React)

Our Stack

Python, React, Kubernetes, Postgres, AWS, Terraform,  ElasticSearch/OpenSearch, Airflow, Snowflake

Compensation

$190K to $230K base salary

#LI-DNI

The People Science & Analytics team at Roblox partners with our People, Places, & Systems organization to apply data science, applied statistics, and  analytics to our internal operations. We deliver insights and solutions that shape Roblox's approach to leadership, people development, and organizational culture. As a Data Scientist in the People Analytics pod, you will join this team to solve complex challenges using qualitative and quantitative data, driving strategic decisions across the company. We are responsible for developing and managing Roblox’s HR data warehouse, analytical tools, and reports which support  data-driven HR initiatives and are used by internal stakeholders throughout the company.

You will:

• Serve as an analytics consultant to key partners in HR, Talent Acquisition, and Finance where you will apply your expertise in data science, applied statistics and analytics engineering to build tooling and identify insights that drive strategic and operational improvement - domains located below.
• Conduct end-to-end analyses on large, complex datasets to diagnose operational challenges, tell a compelling story, and provide actionable recommendations to executive leadership.
• Design, build, and maintain data products and automated workflows that scale our team's analytical offerings and support our partners' long-term needs.
• Uphold a high standard for data integrity and analytical rigor, working through ambiguity to produce clear, defensible insights.

You have:

• A MBA / Master's degree, PhD, or equivalent experience in Data Science Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• 4+ years of professional experience with SQL.
• 4+ years of statistical programming in R/Python and/or analytics engineering experience in Python
• 4+ years of professional experience with BI Tools (Tableau, Looker, Hex, etc.)
• Proven ability to execute complex and cross functional projects from ideation through completion.
• Strong interpersonal skills and the ability to work through ambiguity to delivery on projects that have driven organizational change.
• Proven ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• Highly self-driven and intellectually curious with a growth mindset focused on maximizing organizational impact.
• A consistent track record to learn quickly and works well both independently as well as in a team setting.

At least two or more of the following:

• 2+ years of experience with enterprise HR/People data systems (e.g., Greenhouse, Workday, Qualtrics) and/or experience working with non-technical operations teams.
• 2+ years of experience in causal inference, experimental design, and statistical modeling. 
• 2+ years of experience with data orchestration and transformation tools (e.g., Airflow, dbt) and deploying data pipelines.

People Analytics Domains at Roblox

• Talent Acquisition
• Employee Performance Programs
• Workforce Planning
• People Data Governance
• Facilities and Office Planning
• HR Operations
• Partnering with Internal Tooling to build people products
• Building our People Datalake

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

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.

Your Opportunity

We are seeking a hands-on Data Engineer to design, build, and maintain reliable ELT pipelines and production-grade analytics models in Snowflake.

This role requires strong SQL expertise, deep DBT experience, and demonstrated ability to independently build and troubleshoot end-to-end data pipelines — from ingestion (APIs, change data capture) through transformation and BI consumption.

The ideal candidate takes ownership of data systems, proactively identifies failure points, and delivers production-ready solutions without sustained oversight.

Your Responsibilities

ELT Pipeline Development

• Design and implement end-to-end ELT pipelines into Snowflake.
• Build and maintain ingestion pipelines from:
  • Third-party APIs
  • SaaS platforms
  • Internal application databases
• Implement and maintain Change Data Capture (CDC) processes.
• Ensure incremental loading, idempotency, and data consistency.
• Diagnose and resolve ingestion failures independently.

Data Modeling & Transformation (DBT)

• Design layered DBT models (staging, intermediate, marts).
• Write high-quality, performant SQL transformations.
• Implement incremental models and testing strategies.
• Optimize transformations for cost and performance in Snowflake.
• Ensure transformations are production-ready and validated prior to deployment.

Data Quality & Monitoring

• Implement data validation and anomaly detection checks.
• Design monitoring around pipeline failure modes.
• Perform structured root cause analysis for data discrepancies.
• Ensure production datasets are complete, timely, and trustworthy.

Production Ownership

• Drive work from design through deployment.
• Validate outputs prior to release.
• Monitor deployed pipelines and models.
• Proactively address data gaps or inconsistencies.
• Document assumptions, transformations, and dependencies clearly.

BI & Collaboration

• Partner with analytics and business stakeholders to translate requirements into scalable data solutions.
• Support Looker semantic modeling and dashboard reliability.
• Communicate technical tradeoffs clearly and concisely.

The responsibilities listed above may not be all inclusive.

Qualifications

• 3–6 years of experience in data engineering or analytics engineering.
• Advanced SQL proficiency (window functions, performance tuning, complex joins).
• Hands-on experience building DBT models in a production environment.
• Experience working with Snowflake or similar cloud data warehouse.
• Experience building and maintaining ELT pipelines.
• Experience implementing Change Data Capture (CDC).
• Experience integrating and ingesting data from external APIs.
• Demonstrated ability to independently diagnose and resolve pipeline and data quality issues.
• Experience deploying production-ready data assets with minimal oversight.

Preferred Qualifications

• Experience with Git-based workflows and CI/CD (e.g., GitHub Actions, dbt Cloud).
• Experience designing data monitoring frameworks.
• Experience with Looker or similar BI tools.
• Familiarity with orchestration tools.

What We're Looking For

We value engineers who:

• Take full ownership of data systems.
• Think critically about edge cases and failure modes.
• Identify problems before stakeholders do.
• Drive initiatives to production completion.
• Communicate clearly and proactively.
• Understand that reliability is as important as functionality

Operational Details

• Job location is based at Scion headquarters in Chicago, IL
• Working hours are general daytime business hours

Your Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternity Leave
• FLSA Status
• Discretionary annual EOY bonus
• Paid Time Off

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

About us

Ascend Telehealth brings a professional, collaborative, and rewarding workplace culture towards our goal to create a profound impact on the mental health of diverse communities.​ 

Our work environment includes:

• Patient-First Mindset
• Fully-Remote
• Business Casual
• Emphasis on Career Growth, Collaboration and Teamwork

What we do:

Our therapists treat all mental health and substance use disorders to a patient population of age 6 and up. Our philosophy is to incorporate all areas of care into a patient's well-being. 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 Associate Therapist or Counselor (LAC, LMSW) to provide counseling and therapy treatment to our patients. Services will be provided through a hybrid model (in-person and telemedicine), to patients throughout Arizona. 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 associate mental health license in state of primary residence and Arizona.

*Ascend Healthcare offers free clinical supervision to all associate-level therapists and counselors

*Clinician must be bilingual English/Spanish

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.

Qualifications:

• Active, unrestricted mental health license in state of primary residence and state of medical services being provided
• Comfortable working in a remote environment
• Bilingual English/Spanish (Required)
• Patient-first mindset

Physical Requirements: This is a Hybrid position. 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 shifts
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Vision insurance

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.

#LI-MC1

#LI-Hybrid

#P5992_3420266

Summary 

Are you a hands-on data expert who thrives on building scalable pipelines, shaping modern data platforms, and turning raw data into business value?

As a Senior Data Engineer, you will architect and implement the foundational systems that power analytics, automation, and insight across the company. Working at the crossroads of data engineering, analytics, and business, you’ll lead the development of robust data pipelines, optimize workflows with tools like dbt, and drive best practices that scale with our growth. If you're passionate about solving tough data challenges, influencing architecture, and creating impact across teams, join us and help elevate how data is used company-wide because we are never finished learning, and are always seeking to improve.

Key Responsibilities 

• Data Pipeline Development & Ownership: Design, build, and maintain robust and scalable data pipelines from diverse sources including APIs, AWS native databases, and third-party systems with the focus on data quality, reliability, and performance.
• Data Orchestration & Modeling: Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data for improved accessibility and usage.
• Monitoring & Troubleshooting:  Implement and maintain comprehensive data monitoring and alerting processes to ensure pipeline reliability.
• Technical Mentorship: Collaborate with the team on technical design discussions and share best practices to support scalable, reliable, and well-structured data solutions.
• Cross-Functional Collaboration: Work closely with engineering, product, and analytics teams to deliver data solutions that drive business value and to communicate complex technical topics to a variety of audiences.
• Implementing Standards: Establish best-in-class processes, implement CI/CD for data pipelines, reproducible analytics, and rigorous code review, testing, and documentation standards.

Required Qualifications and Key Competencies

• 6+ years of experience in data engineering or related fields.
• Proficiency in SQL and at least one programming language (e.g., Python).
• Strong experience with cloud platforms, particularly AWS (RDS, Redshift, S3, Lambda, etc.), Snowflake, GCP.
• Hands-on experience with building and maintaining scalable ETL pipelines, monitoring data quality and debugging data workflows.
• Advanced-level proficiency with dbt and experience with data orchestration tools like Dagster or Airflow.
• Hands-on experience with data integration from APIs and CDC processes.
• Deep understanding of data modeling, warehousing concepts, and performance optimization.
• Excellent communication and collaboration skills, with the ability to bridge technical and non-technical teams.
• A proactive, ownership-driven mindset with a passion for solving complex data challenges.

Company Culture & Perks

• Topstep is an engaging working environment which ranges from fully remote to hybrid. We foster a culture of collaboration with cameras on during meetings and a robust Slack environment for communication. 
• Seven Company-paid Holidays and generous Family Leave. Paid time off is front-loaded. 
• Competitive 401(k) matching, health, dental, and vision insurance is offered for full time employees.
• Vacations are encouraged with a bonus for taking 5 consecutive days. Employee referrals are bonused. Topstep offers a food and groceries budget and contributes towards health and wellness.

New Hire Base Salary Range

• $155,000 - $180,000.
• Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
• The compensation offered will take into account internal compensation structure and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Equal Opportunity Employer

Topstep is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where all employees and applicants are valued. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status, in compliance with applicable federal, state, and local laws.

Interested in the role? Apply today with your resume!

Overview

Instacarts Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data.

We’re looking for a Staff Software Engineer to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency.

You’ll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You’ll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart’s data platform.

Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values pragmatism, clarity, and impact.

About the Job

• Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
• Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in.
• Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend.
• Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform.
• Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment.

About You

Minimum Qualifications

• 5+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale.
• Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability.
• Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems.
• Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production.
• Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels.

Preferred Qualifications

• Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR).
• FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts.
• Deep SQL proficiency and strong skills in Python or Scala for systems-level development.
• Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments.
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

#LI-Remote

Overview

Instacart’s Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data.

We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency.

You’ll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You’ll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart’s data platform.

Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values pragmatism, clarity, and impact.

About the Job

• Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
• Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in.
• Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend.
• Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform.
• Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment.

About You

Minimum Qualifications

• 5+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale.
• Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability.
• Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems.
• Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production.
• Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels.

Preferred Qualifications

• Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR).
• FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts.
• Deep SQL proficiency and strong skills in Python or Scala for systems-level development.
• Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments.
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

#LI-Remote

ABOUT THE ROLE

We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. 

You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.

ABOUT THE TEAM

The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence.

KEY RESPONSIBILITIES

• Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
• Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
• Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
• Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.

ABOUT YOU

Minimum Qualifications

• Bachelor’s degree in a related field
• 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
• Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
• Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
• Strong communication skills with the ability to engage effectively across technical and non-technical teams

Preferred Qualifications

• Public company experience with exposure to SOX compliance
• Background in high-growth technology environments
• Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
• Project management experience a plus
• Demonstrated ability to support Finance and Accounting teams with scalable data solutions
• Cloud cost management experience, ideally in an AWS environment
• Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)

#LI-Remote

ABOUT THE ROLE

We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. 

You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.

ABOUT THE TEAM

The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence.

KEY RESPONSIBILITIES

• Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
• Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
• Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
• Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.

ABOUT YOU

Minimum Qualifications

• Bachelor’s degree in a related field
• 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
• Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
• Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
• Strong communication skills with the ability to engage effectively across technical and non-technical teams

Preferred Qualifications

• Public company experience with exposure to SOX compliance
• Background in high-growth technology environments
• Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
• Project management experience a plus
• Demonstrated ability to support Finance and Accounting teams with scalable data solutions
• Cloud cost management experience, ideally in an AWS environment
• Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)

#LI-Remote

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

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 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

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 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

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

• 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

• 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 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