Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)

Position Summary:

As a member of the Enterprise Solutions team, you will play a critical role in contributing to the success of Judi Health’s customers leveraging Judi, our Enterprise Health Platform, to service their own pharmacy administrative needs. The Enterprise Solutions team seeks individuals who are passionate to change the landscape of claims processing while providing superior service. This individual will hold responsibility for the setup and ongoing maintenance of accumulator, claims and override data in Judi.

Position Responsibilities:

• Accountable for configuration, load, and maintenance of data from previous adjudication systems into Judi.
• Provide customers with subject matter expertise in Judi’s capabilities, ensuring successful migration to the adjudication platform, with parity of all logic and initiatives.
• Devise a repeatable process for implementing data in Judi, establishing key milestones, and maintaining up to date project plan.
• Build and maintain trusting relationships with customers through superior customer service, meeting or exceeded service level metrics.
• Perform QA and claims testing to validate that data loads yield appropriate adjudication results.
• Partner with Analytics colleagues to author automated/manual test cases and monitoring processes for configurations and data loads.
• Proactively identify execution risks around build status and defects, partnering with internal Product teams and clients to surface mitigation strategies.
• Contribute to playbooks/templates that scale configurations for future client onboardings.
• Take charge of critical issues or problems to key stakeholders, ensuring swift resolution and communication within service level agreements.
• Certain times of year may require meeting participation, travel, service support or other requirements outside of standard business hours, including weekends.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.

Minimum Qualifications:

• 1+ years of experience in an Analyst role, Software Engineering role or related work experience
• 1+ year of PBM or Health Plan operations experience handling adjudication configurations.
• Experience performing complex analyses on large sets of data
• Knowledge of data management, statistics, modeling
• Experience working with structured and unstructured data
• Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools
• Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables.
• Exceptional project / time management, prioritization, and organizational skills to ensure customer satisfaction.
• Ability to shift between competing priorities and meet organizational goals.
• Excellent verbal, written, interpersonal and presentation skills.
• Ability to work effectively with virtual teams.
• Ability to travel 5-10%.

Preferred Qualifications:

• Bachelor's Degree preferred, or equivalent combination of education, training, and experience.

• Experience working with AWS Redshift

About this role

We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions. 

What you’ll do 

• Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices 
• Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes 
• Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization 
• Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives 
• Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization 
• Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage

Qualifications

• 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function 
• Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases. 
• Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms 
• Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker) 

Nice to have: 

• Experience with Python, R or other programming languages 
• BA/BS degree, ideally in computer science, math or another quantitative field 
• Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation

Salary Range

San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Governance Analyst to drive data literacy across FanDuel.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Should Represent the Data Governance team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap
• Support metadata management processes and standards across all of the data domains to ensure data integrity and standardization
• Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices
• Outline and help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes
• Identify and communicate improvements in the design and effectiveness of key controls and processes including automation
• Serve as a SME on product interface and capabilities for select data domains
• Understand business requirements, translating them into actionable specifications including how data should be governed

THE STATS
What we're looking for in our next teammate

• BA or BS in Information Systems, CS, Data Management or Analysis or similar is desired.
• 5+ years’ experience in a data driven function and role such as a data governance analyst, quality assurance analyst, product owner, data analyst, or similar role diligently applying principles, practices, and theory
• Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain processes and procedures
• Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency.
• Excellent written and verbal communication skills. Able to communicate anywhere from the team level to C-level executives.
• Excellent collaboration skills and the ability to communicate business value and obtain buy-in for process and culture changes

Preferred:

• Minimum two years of experience in the technology industry, knowledge of clickstream datasets a plus.
• Experience with Data Governance tools such as Alation, Collibra, Informatica, etc.
• Experience with Data Quality tools and/or Data Classification tools
• High familiarity with data platforms and applications such as S3, Databricks, Snowflake, Redshift, Airflow and BI Tools such as Tableau, Looker, Microstrategy
• Proficiency with Python, Pyspark or SQL
• Knowledge of sports and/or experience working within a heavily regulated industry is a plus
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid 

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Governance Analyst to drive data literacy across FanDuel.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Should Represent the Data Governance team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap
• Support metadata management processes and standards across all of the data domains to ensure data integrity and standardization
• Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices
• Outline and help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes
• Identify and communicate improvements in the design and effectiveness of key controls and processes including automation
• Serve as a SME on product interface and capabilities for select data domains
• Understand business requirements, translating them into actionable specifications including how data should be governed

THE STATS
What we're looking for in our next teammate

• BA or BS in Information Systems, CS, Data Management or Analysis or similar is desired.
• 5+ years’ experience in a data driven function and role such as a data governance analyst, quality assurance analyst, product owner, data analyst, or similar role diligently applying principles, practices, and theory
• Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain processes and procedures
• Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency.
• Excellent written and verbal communication skills. Able to communicate anywhere from the team level to C-level executives.
• Excellent collaboration skills and the ability to communicate business value and obtain buy-in for process and culture changes

Preferred:

• Minimum two years of experience in the technology industry, knowledge of clickstream datasets a plus.
• Experience with Data Governance tools such as Alation, Collibra, Informatica, etc.
• Experience with Data Quality tools and/or Data Classification tools
• High familiarity with data platforms and applications such as S3, Databricks, Snowflake, Redshift, Airflow and BI Tools such as Tableau, Looker, Microstrategy
• Proficiency with Python, Pyspark or SQL
• Knowledge of sports and/or experience working within a heavily regulated industry is a plus
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid 

YOUR ROLE 

We’re seeking a Business Intelligence Analyst, a role that combines strong technical expertise with strategic thinking and a deep understanding of how data drives business decisions. The ideal candidate is comfortable owning projects end-to-end — from translating business questions into data requirements to delivering polished, executive-ready dashboards and insights. 

You should be highly analytical and detail-oriented, with the ability to manage multiple high-priority initiatives simultaneously.  You must be confident working with complex, multi-source datasets and capable of identifying discrepancies, troubleshooting issues, and ensuring data integrity. Just as important, you should be able to communicate findings clearly to non-technical stakeholders, translating data into actionable recommendations. 

In a media and marketing analytics environment, we’re looking for someone who understands campaign performance metrics, audience measurement, and cross-channel reporting. You should have experience building client-facing dashboards and be comfortable operating in fast-paced, deadline-driven settings where accuracy and presentation quality are critical. 

 REQUIREMENTS 

• 2+ years of experience in Business Intelligence, Data Analytics, or Marketing/Media Analytics
• Highly proficient with Tableau (dashboard development, calculated fields, LOD expressions, performance optimization)
• Strong SQL skills, including writing complex queries and joining multiple data sources
• Experience working with marketing/media data  
• Proven experience building executive- or client-facing dashboards
• Experience migrating or rebuilding reporting environments (e.g., Datorama to Tableau) preferred
• Strong understanding of KPI development and performance measurement frameworks
• Ability to manage multiple projects simultaneously and meet tight deadlines
• Excellent communication skills with the ability to translate technical findings into business insights 

PREFERRED QUALIFICATIONS (NICE-TO-HAVE) 

• Experience migrating reporting platforms (e.g., Datorama → Tableau)
• Experience embedding dashboards into web platforms or proprietary systems
• Familiarity with data warehousing tools (Snowflake, BigQuery, Redshift)
• Experience working in an advertising agency or client-service environment
• Exposure to ETL tools or API-based data integrations
• Experience supporting new business pitches or building “demo-ready” dashboards
• Experience mentoring junior analysts or reviewing others’ work
• Experience building and managing standardized dashboard templates 

What You’ll Be Part Of

At iSpot.tv, we process massive streams of media metadata in a high-scale AWS environment. As an SDE II, you have moved past foundational learning and are now a competent, independent contributor. You are responsible for delivering high-quality features that power our industry-leading measurement and attribution products.

We are looking for an AI-native engineer—someone who instinctively uses AI to move faster and write better code. You will be a key player in our modern engineering culture, helping us maintain our "source-of-truth" data foundation while supporting major initiatives like our strategic migration to Snowflake.

Your Impact

1. Technical Excellence & Domain Ownership

• Coding & Debugging: You are competent in programming and debugging across multiple components and environments. You will independently own and deliver features, writing high-quality code that includes monitoring, metrics, and logging as standard practice.
• Testing & Quality: You author and own the testing plan for your features, considering product requirements and edge cases. You’ll perform various test types (unit, component, integration, E2E) and are developing the skills to identify patterns in test results to differentiate between application bugs and environment issues.
• Code Reviews: You actively participate in code reviews, following team guidelines and best practices to ensure the collective codebase remains healthy and maintainable.

2. AI-Driven Productivity & Efficiency

• AI-First Workflow: You independently use AI tools (e.g., Cursor, Copilot, Gemini) to improve the speed and quality of your tasks. This includes using AI for code understanding, self-code reviews, and ramping up quickly in new domains or languages.
• Critical Evaluation: You don't blindly copy-paste. You critically evaluate AI-generated output to ensure its correctness, security, and alignment with iSpot standards before relying on it.
• Continuous Improvement: You identify enhancements or efficiencies in your work assignments, using AI to automate repetitive tasks so you can focus on solving complex logic.

3. Operational Excellence & Data Strategy

• Incident Management: You participate in the on-call rotation and will contribute to defining on-call expectations. You are responsible for promptly investigating test failures and production alerts. You are also developing the ability to perform Root Cause Analysis (RCA) in common areas (code, technology, and incidents) with limited guidance.
• Scalability: You will build internal networks to improve organizational speed and improve the quality of technology solutions, removing obstacles for the team as they arise.
• Data Migration Support: You will support the senior team in our Redshift to Snowflake evolution by assisting with data validation, schema updates, and performance monitoring.

4. Collaboration & Growth

• Independence: You complete most assignments independently with little to no supervision, knowing exactly when and how to escalate issues to your manager or senior leads.
• Team Contribution: You help onboard and train new team members and are proactive in building trust through excellent follow-through and integrity.
• Communication: You communicate clearly and concisely, sharing opportunities to improve deliverables or work processes with the broader team.

What You Bring

• Experience: Significant experience (typically 2–5 years) developing software features for business or technology solutions.
• Java Proficiency: Strong experience with Java and Spring Boot in a microservices environment.
• Cloud Foundation: Solid understanding of AWS (S3, Lambda, EC2) and containerization (Docker).
• Tech Required: Java, Spring Boot, MySQL, Git, and familiarity with CI/CD pipelines.
• Tech Preferred: Experience with message brokers (RabbitMQ/SQS), Kubernetes (EKS), Docker, and SQL optimization.
• AI Native: Demonstrated ability to use LLMs and AI coding assistants to accelerate your development lifecycle.
• Mindset: A results-oriented drive to meet high standards and a "persistent/tenacious" approach to solving technical hurdles.
• Soft Skills: Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership). Excellent problem-solving and analytical skills.

Preferred Qualifications

Experience in Ad-Tech or high-throughput "Big Data" processing environments.

Target cash compensation range: $104,700 - 120,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote

 What You’ll Be Part Of

At iSpot.tv, we deal with BIG data, operating in a high-scale AWS environment with thousands of servers processing massive streams of media metadata. As a Senior SDE, you are a foundational pillar of our engineering team. You don't just write code; you own entire domains, drive scalable solutions, and act as a "go-to" expert.

We are currently looking for an AI-native engineer—someone who views AI not as a novelty, but as a core component of their development lifecycle—to help lead our mission-critical data evolution, including our strategic migration from Redshift to Snowflake.

 Your Impact

1. Technical Excellence & Domain Ownership

• Coding & Debugging: You will design domains with testability and multiple teams in mind, creating extensible and shareable codebases. You are expected to provide prescriptive code reviews that suggest more acceptable code patterns and contribute to company-wide style guidelines.
• System Modernization: You will lead efforts to upgrade legacy systems, refactoring technical debt into scalable, modern architectures, including x-region database migrations and moving to EKS.
• Quality & Release: You will maintain a high standard of quality, setting the example for the team. This involves developing the architecture for our automation systems and expertly debugging complex issues within the CI/CD pipeline. You will be responsible for implementing secure deployment strategies, especially for large-scale, high-risk projects.

2. AI-Driven Productivity & Innovation

• AI-First Mindset: You are expected to be "AI-native." You will actively explore and learn about AI technologies that enhance the efficiency of the entire team’s work.
• Leading Adoption: You don't just use AI; you "create space" for teammates to improve their AI tooling through pairing, providing demos, and writing documentation.
• Creative Problem Solving: You are a pioneer in critical technologies, bringing creative solutions to complex, large-scale projects and ensuring your contributions can be extended far into the future.

3. Operational Excellence & Data Strategy

• Data-Driven RCA: You will propose and implement viable domain measurement solutions. You’ll play a lead role in researching external solutions and leading root cause analysis (RCA) for complex, multi-domain incidents.
• Operational Efficiency & Toil Reduction: You are expected to proactively improve the current state of operations by identifying and reducing toil. You will apply a "Platform Engineering" mindset to automate repetitive manual tasks, ensuring the team remains focused on high-value engineering.
• Scalability & Influence: You will build internal networks to improve organizational speed and the quality of technology solutions, removing obstacles for the team as they arise. You are the "go-to" person for the team, identifying trends and introducing broad solutions to address systemic issues.
• Cost-Conscious Engineering: You will drive a mature cost-optimization strategy, ensuring that architectural decisions and cloud resource utilization are both performant and cost-efficient. You are expected to balance technical excellence with business value, treating cost-consciousness as a core pillar of system reliability.

4. Leadership & Collaboration

• Strategic Alignment: You routinely work cross-functionally to align partners and stakeholders with the project vision and strategy.
• Mentorship: You mentor less experienced team members, ensuring your communication promotes clarity and inspires action. You onboard and coach other engineers in adopting an AI-first mindset, focusing on low-risk strategies.
• Conflict Resolution: You are adept at handling personal conflicts within the team and navigating ambiguity to reach strategic milestones.

 What You Bring

• Experience: Significant experience developing software for shareable features across multiple engineering projects. Experience leading small-to-mid-sized technical initiatives is required.
• Architectural Leadership: Proven ability to make high-level architectural decisions, including redesigning legacy services to ensure they are highly reliable and operable. You follow industry best practices for high-availability API design and the streamlining of complex database operations.
• Platform Engineering: Hands-on experience with Platform Engineering principles, focusing on internal developer experience, infrastructure abstraction, and building self-service capabilities for engineering teams.
• Cloud Native: Expert knowledge of AWS (S3, Lambda, EC2, IAM).
• Tech Required: Java, Spring Boot, MySQL, RabbitMQ (or similar message broker), Kubernetes/EKS, Docker, CI/CD pipelines.
• Tech Preferred: Redshift, Helm, Terraform, Gradle, Groovy.
  • Bonus: Proven experience or a deep architectural understanding of migrating data workloads from Redshift to Snowflake.
• AI Native: Experience using AI coding assistants and LLMs to accelerate development (e.g., Kiro, Gemini, Copilot, Cursor, or similar).
• Soft Skills: Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership). Excellent problem-solving and analytical skills.

 Preferred Qualifications

• Experience in Ad-Tech or high-throughput "Big Data" processing environments.
• Experience with Infrastructure as Code (Terraform) and CI/CD concepts (CircleCI).

A track record of identifying trends in incidents and introducing broad solutions to address them.

Target cash compensation range: $136,100 - $170,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

Location: Hybrid (Local to NYC area)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Senior Platform Developer II to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to a culture of technical excellence and continuous improvement.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

• 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Deep expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

This role requires a hybrid schedule and will be based in our New York, NY office (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.

For The Points Guy website click here. Curious how The Points Guy fits into Red Ventures? Click here.

We're looking for a sharp, analytically rigorous Senior BI Analyst to join our growing Business Intelligence team. This is a hands-on, high-impact role at the center of how we understand and grow our business. You'll play a key role in the foundation of our data visualization ecosystem, build performance dashboards that drive decisions, conduct complex analyses to inform revenue-driving workstreams, and translate data into stories that non-technical stakeholders can act on. The right candidate is deeply comfortable with complicated datasets and cross-functional communication.

What You’ll Do:

• Architect and write the semantic layer for our new data visualization platform as we migrate from our current tooling.
• Build, iterate, and maintain dashboards and reports that give business stakeholders clear visibility into performance across the funnel.
• Own weekly full-funnel performance reporting, surfacing trends, anomalies, and opportunities with clear business context.
• Conduct ad hoc, multi-step analyses using advanced statistical methods, complex SQL queries, and Python scripts to answer granular business questions.
• Understand and improve existing data pipelines in partnership with Data Engineers, understanding data flows end-to-end.
• Present findings to business stakeholders, translating highly technical analysis into clear, actionable insights.
• Proactively identify areas for measurement improvement, optimization opportunities, and testing.
• Leverage AI tools to accelerate work, using your own judgment and expertise to critically evaluate and improve AI outputs

What We’re Looking For:

• 3+ years of experience in a highly quantitative and analytical environment.
• Comfort in a fast-paced and often changing environment, with an inclination to solve new problems and learn new skills
• Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, or a related quantitative field preferred. 
• Strong SQL and Excel
• Python (Pandas, Nmpy, Statsmodels)
• Experience in or exposure to BI/data visualization tools (Tableau, Looker, or similar)
• Familiarity with data warehouse environments (Snowflake, BigQuery, Redshift)
• Understanding of data pipelines and semantic layer concepts

Compensation: 

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range: $100,000 - $140,000 per year

*New York City Total Cash Compensation Range: $125,000- $170,000 per year

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

#li-dh1

#BR

Location: Preferably Hybrid (Local to NYC area) or Remote (For Non-Local)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Platform Developer to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Develop and support highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Contribute to defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Adopt Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.

Requirements

• 5+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Strong expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

About the Role, Mission or Department Overview

As a Software Engineer on the Experimentation & Instrumentation team, you will build and maintain interfaces and golden paths that make it easy for product teams to instrument experiments and behavioral events and connect experiment outcomes to downstream user behavior and engagement metrics. You will work with Product, Data, and other engineering teams to deliver SDKs and interfaces that connect our products and systems to the data platform, powering data-informed decisions at scale.

This is a hybrid role reporting to the Senior Engineering Manager within the Data Platforms mission.

Responsibilities:

• Build services, SDKs, and interfaces that power experimentation and behavioral event instrumentation across our products.

• Partner with Product, Analytics, and other engineering teams to deliver roadmap work that improves how we run experiments and instrument user behavior data.

• Support the full experimentation and instrumentation stack, from event collection to data modeling and downstream usage, including changes to schemas and contracts.

• Build for reliability and observability, including monitoring, alerting, runbooks, and participation in incident response for the systems you own.

• Create clear documentation, examples, and integration guide that help engineers and partners use our tools.

• Contribute to code and design reviews and pair programming to improve code quality and maintainability across the team.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 3+ years of professional software engineering experience building backend or full‑stack services, data pipelines, or client-side SDKs.

• Proficiency in at least one modern programming language (for example, Java, Go, Python, or JavaScript/TypeScript).

• Experience with standard engineering practices, including automated testing, code review, CI/CD, and operating production systems.

• Familiarity with Agile software development practices.

• Break down complex problems and deploy incremental, high-quality solutions.

• Experience communicating blockers, updates and resolutions to customers and other partners.

Preferred Qualifications:

• Experience working with data‑intensive or event‑driven applications, such as logging, analytics, or experimentation systems.

• Experience operating in a dual-cloud environment (GCP/AWS), including running production services in one or both clouds.

• Experience designing or maintaining SDKs or shared libraries used by other engineering teams.

• Experience designing and evolving data schemas or event contracts in collaboration with analysts and product partners.

• Experience with a data warehouse like BigQuery, Snowflake or Redshift.

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019838

Octus is seeking a Principal Data Engineer to roll up their sleeves and build scalable, production-grade data pipelines and infrastructure. You'll be a hands-on technical leader — writing code daily, solving hard engineering problems, and helping elevate the team around you through doing. Spanning Snowflake, Databricks, and AWS, you'll be deeply involved in the day-to-day development of the data platform that powers Octus's products, data, and automation initiatives. The ideal candidate is an expert in Python and SQL who thrives in an execution-focused environment and has deep experience building modern data pipelines and lakehouse solutions.

Responsibilities

• Build and maintain end-to-end data pipelines — from raw ingestion through transformation and delivery — across diverse data sources (APIs, web data, internal feeds, etc.).
• Hands-on development of scalable, production-grade pipelines within Databricks, including Delta Lake table management, Workflows, and cluster optimization.
• Build and maintain data models, schemas, and transformation logic in Snowflake, optimizing for performance and reliability.
• Develop and manage Databricks environments including Unity Catalog, Delta Live Tables, and integration patterns that support both internal data consumers and external sharing use cases.
• Build and manage orchestration workflows using AWS services (MWAA/Airflow, Lambda, ECS, SQS, MSK) and Databricks-native orchestration where appropriate.
• Implement and maintain infrastructure as code (IaC) using Terraform, ensuring reproducibility and compliance with cloud standards.
• Establish and enforce best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data across Snowflake and Databricks.
• Ensure data quality, lineage, and observability through automated testing, monitoring, and alerting across all pipeline layers.
• Collaborate closely with technology leadership to align data platform development with business strategy and product goals.
• Stay at the forefront of industry trends in data engineering, lakehouse architecture, and cloud-native data platforms.

Requirements

• Strong foundation in software engineering principles, including SOLID design, modularity, and scalability.
• Expert proficiency in Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows.
• Deep experience with Snowflake, including data modeling, performance optimization, and integration with upstream/downstream pipeline tooling.
• Expert proficiency in Python for data pipeline and automation development.
• Advanced SQL skills with experience optimizing complex queries and data models at scale.
• Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
• Experience implementing and managing Terraform or similar IaC frameworks.
• Strong understanding of lakehouse architecture patterns, data ingestion, transformation, and orchestration, including familiarity with ML/AI pipeline integration patterns.
• Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
• 8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
• Demonstrated experience leading data infrastructure projects end-to-end and mentoring senior engineers.
• Familiarity with containerization (Docker) and workflow orchestration best practices.
• Excellent communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with streaming data technologies (Kafka, Kinesis, Flink).
• Exposure to ML/AI pipeline patterns (feature stores, experiment tracking, model serving) and MLOps tooling, particularly in a cross-functional team environment.
• Experience integrating data quality and observability tools.
• Experience with Databricks as a data sharing and collaboration platform (Delta Sharing, Marketplace).
• Familiarity with Claude Code or similar AI-powered developer tools for accelerating pipeline development and code workflows.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $175,000 - $220,000

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana’s marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design.

This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines.
• Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability.
• Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach.
• Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops.
• Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably.
• Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation.
• Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products.

About you:

• Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience
• 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects
• 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift)
• Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness
• Proven track record developing, deploying, and maintaining scalable production ML solutions and data products
• Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we’ll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $202,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AA1

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Customer Support (Ledger Operations)

As a team within the Support group, the team is data driven and customer-centric. Team members work closely with data scientists, engineers, product managers, and corporate operational stakeholders to reconcile data. Projects range from the very urgent, short sprint to redesigning long-term solutions to improve scalability and automation. Ledger Operations primary goal is to ensure high quality, scalable data reconciliation with proactive monitoring and reducing delays for reactive corrections. This team is responsible for building the “next generation” of reconciliation tools to maintain and expand Gemini’s internal reconciliation processes. 

The Role: Senior Ledger Operations Engineer

This role is required to be in person twice a week at our New York City, NY office.

Responsibilities:

• Build and maintain API adapters for Gemini trade data
• Design and optimize data pipelines for ledger operations
• Automate ETL (Extract, Transform, Load) processes
• Optimize SQL queries and database performance
• Contribute to the next generation of ledger reconciliation processes and reporting
• Collaborate with third-party vendors, Data Analytics team, and Cryptocore engineers
• Support data processing for the blockchain reconciliation project
• Develop and maintain data adapters for real-time data processing
• Create and implement data validation processes
• Develop customized reporting solutions
• Investigate and identify root causes of exception reports

Minimum Qualifications:

• 5+years implementing a reconciliation system while improving existing data pipelines
• Experience building real-time data solutions, data-lake and data warehousing technologies
• Experience building and integrating web analytics solutions
• Advanced SQL skills is a must
• Experience with gRPC, Websocket and REST API 
• Experience and expertise in Databricks, Spark/PySpark, Kafka streaming, Apache Flink, Airflow, Hadoop etc.
• Skilled in programming languages Python, Scala, Rust or Go
• Experience with one or more MPP databases(Redshift, Timescale,  StarRock)
• Able to identify gaps in existing reconciliation processes
• Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
• Experience with Datadog, cloudwatch or other alert monitoring systems

Preferred Qualifications:

• Financial certifications are not required, but encouraged. Understanding the regulatory landscape in traditional financial markets will lend well as the digital asset space evolves
• Financial Reporting Requirements for publicly traded companies

• Competitive starting pay
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $126,000 - $180,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

Why this role?

Warp is hiring an Analytics Engineer to own the data vertical — a high autonomy role at the center of how we understand our product, users, and business. You'll work across every function at Warp: product, engineering, growth, revenue, and go-to-market.

Warp is a fast-growing AI developer tool. Our data footprint reflects that growth — we ingest telemetry from our apps and servers, LLM conversational data, transactional production databases, GTM pipelines, and a range of third-party sources. Your job is to turn that raw data into the reliable metrics and deep insights that drive real decisions.

This isn't a role where you slot into an existing system. You'll own the data model, define how we measure what matters, and set the standard for how analytics gets done at Warp. That means building durable infrastructure and shipping high-impact analysis — often at the same time.

If you want to shape how a company at scale thinks about its data from the ground up, this is that role.

As an Analytics Engineer, you will...

This is a full-stack data role that moves across the data stack and touches all parts of Warp’s business. Your work will fall into three broad areas:

Operations

• Define, build, and visualize core product and business metrics
• Design and analyze A/B experiments to measure the impact of product changes
• Adapt data models to support new product features, pricing models, and business initiatives
• Partner with GTM teams to surface product-qualified leads, measure engagement, and support billing and revenue analytics

Infrastructure

• Build and maintain canonical data models that serve as reliable sources of truth
• Write production ETL to ingest new data sources and reverse-ETL to push data to downstream consumers
• Develop AI agents to automate pieces of the data team’s workflows
• Establish data quality monitoring and reliability standards
• Build tooling that enables self-serve analytics across the company

Research

• Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities
• Dig into questions like: How does Warp expand within companies? What is the optimal pricing structure? How do we identify potential enterprise leads? What characteristics of AI interactions drive churn?

You May Be A Good Fit If...

• You have 6+ years of experience in an analytics-focused data role
• You’re highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift
• You’ve built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase
• You care deeply about the business decisions your data informs—not just building the pipelines behind them
• You balance business intuition with an engineering mindset: writing efficient, scalable queries; thinking about cost and compute across the data stack; and working with version control, CI/CD, and testing
• You have a bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions
• You’re an effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency
• You’re deeply curious—when a metric moves unexpectedly, you dig until you understand why
• You’ve integrated AI into your daily workflows; at Warp we lean heavily on agents to accelerate and automate our work

Bonus:

• Experience with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc)
• Production-grade experience with Python
• Experience on a data team at an early-stage startup
• Familiarity with Warp’s platform

At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles.

If you're feeling playful, try out our optional hiring challenge and submit your answers with your application: https://github.com/warpdotdev/hiring-challenge

Salary Transparency

Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity.

When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $180,000 - $210,000.

In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside.

Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above.

What We Offer

• Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board
• Full Medical, Dental, and Vision Benefits for employees (80% coverage for dependents)
• Flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL 
• Pre-tax FSA Health Savings Plan
• Pre-tax Commuter Benefit
• 20-days of Paid Time Off
• Unlimited Sick Time Off
• 12 US Holidays
• 16 weeks of paid Parental Leave for both birthing and non-birthing parents
• Twice-a-year company retreats
• Monthly gym and internet stipend
• Guideline 401(k)
• Complimentary OneMedical membership

Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Position Summary: 
We are seeking a highly analytical and collaborative Manager to support and grow our Analytics team. This role requires strong technical skills in data analysis along with the ability to manage projects and support cross-functional teams. The ideal candidate will have experience mentoring analysts, managing business-critical requests, and contributing to a scalable data foundation that drives decision-making. This individual will play a key role in promoting efficiency, consistency, and innovation across our Analytics team.

Why you'll love working here:

• Our work makes a difference. We are a highly motivated team of specialists on a mission to improve the U.S. healthcare system for over 5 million members.
• We value diverse perspectives. We bring our full, authentic selves to a culture that values high performance and genuine connection.
• We are scaling fast. We are a rapid-growth organization with a strong financial outlook, affording stability while paving the way for innovation and creativity at every turn.

Key Responsibilities:  

Team Support & Project Management 

• Help set and track priorities, ensuring delivery of key analytics projects aligned with business goals. 

• Support the adoption of analytics best practices and tools through training sessions and knowledge sharing. 

• Coach data analysts within the team, contributing to their professional development and fostering a collaborative team environment. 

Data Execution & Optimization 

• Contribute to the execution of data analytics initiatives that align with business needs. 

• Collaborate on the development of scalable processes for data collection, analysis, and reporting. 

• Identify areas for improving efficiency through process improvements, automation, and better data practices. 

• Maintain documentation of key analytics processes and ensure data quality standards are upheld. 

Insights & Analysis 

• Conduct data modeling and analysis to generate insights that inform business strategy and process improvements. 

• Translate complex analytical findings into clear, actionable recommendations using visualizations and presentations. 

• Contribute to proactive analytics that support operational and strategic decision-making. 

Stakeholder Collaboration & Communication 

• Partner with product managers, business leaders, and clients to understand analytics needs and prioritize requests accordingly. 

• Proactively manage and foster stakeholder relationships by acting as a strategic, consultative advisor with a keen understanding of business objectives. 

• Advocate for data-driven decision-making across teams and leadership. 

Compliance and Quality Assurance 

• Ensure adherence to company compliance standards, including reporting any noncompliance. 

• Support the development and implementation of quality controls and departmental standards to satisfy organizational and regulatory requirements. 

• Participate in internal training sessions to support continued learning and development. 

• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Qualifications & Experience:  

• 4-6 years of experience in data analytics, business intelligence, or a related field. 

• Experience in PBM, health plans, healthcare, or Medicare. 

• Familiarity with pharmacy claims data, medical claims data, and client reporting metrics. 

• Expertise in SQL, Python, or R for data analysis, with strong coding hygiene and documentation practices. 

• Ability to perform complex analyses and synthesize findings into business insights. 

• Track record of partnering closely with internal and external stakeholders to provide consultative analytics support, proactively advising on business opportunities. 

• Working knowledge of data engineering fundamentals and working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift). 

• Proven ability to prioritize and manage multiple projects in a fast-paced environment. 

• Excellent communication and stakeholder management skills, with the ability to present complex data insights to executives. 

Preferred Qualifications:  

• Experience working in large-scale, high-growth organizations. 

• Knowledge of machine learning or advanced statistical modeling techniques. 

• Familiarity with Agile project management methodologies. 

• Master’s degree in Computer Science, Actuarial Science, Statistics, Economics, or a related field. 

• GitHub and dbt experience. 

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on streaming and realtime systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and realtime event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement realtime capabilities that power critical business workflows. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. 
• Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. 
• Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. 
• Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. 
• Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. 
• Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.  
• Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. 
• Make strong architectural choices through careful evaluation and prior experience with distributed systems.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
• Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. 
• Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. 
• AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.  
• Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.  
• Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.  
• Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment. 

(Optional) Preferred Qualifications:   

• Rust development experience or strong interest in learning Rust for high-performance systems.
• Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure. 
• Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.  
• Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Lead Data Scientist, Causal Inference & Clinical Outcomes Contracotr

Location: Remote

Job Type: Contract or Full-Time (Flexible) The project is estimated to run for 16 weeks, beginning May 7, 2026, and concluding around August 27, 2026.

Job Reports To: Director of Business Intelligence

Salary Range: Contract rate is $100 - $160/hour

About Jaan Health/Phamily

Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients.

Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com.

Job/Role Description

We are seeking an analytical powerhouse to redefine proactive healthcare as our Lead Data Scientist for Causal Inference & Clinical Outcomes. In this 16-week engagement starting May 7, 2026, you will lead a rigorous clinical outcomes study for our key client, Silver Cross Medical Group (SCMG), to quantify the impact of our Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs.

Your primary mission is to provide empirical evidence answering two critical questions: Do patients in our programs have lower hospital readmission rates and higher discharge follow-up rates?. This role requires a specialist who can manipulate complex healthcare claims and EHR data to build an airtight, actuarial-grade causal inference framework. Additionally, you will audit and extract value from a previous analytics vendor’s deliverables to close out their engagement. If you are a health-tech veteran who excels at translating complex statistical findings into compelling narratives for stakeholders, we want to hear from you.

Key Responsibilities

• Study Design & Execution: Lead a longitudinal, quasi-experimental study starting May 7 to measure clinical outcomes, specifically hospitalization frequency and discharge follow-ups.
• Causal Inference Modeling: Apply advanced methodologies (e.g., propensity score matching) to observational data to estimate counterfactual patient outcomes with minimal bias.
• Actuarial-Grade Validation: Develop and refine statistical models that will be thoroughly vetted and approved by customer actuaries.
• Stakeholder Management: Serve as the primary analytical face to SCMG, gathering requirements and aligning on clinical/business definitions of success.
• Data Storytelling: Translate complex statistical findings into compelling presentations and client-ready reports for both technical and non-technical leadership.
• Vendor Audit & Wrap-up: Extract usable value from an existing outsourced study, close out the vendor contract, and integrate relevant findings into the final study.
• Technical Infrastructure: Navigate and build analytics reporting infrastructure using SQL, Python, dbt, Redshift, and Looker.
• Project Handoff: Ensure all code is clean and reproducible for final handover to the internal Phamily BI team.

Requirements

• Health-Tech Expertise: Deep experience in causal inference, metric design, and clinical outcomes evaluation.
• Data Proficiency: Extensive experience working with complex EHR and healthcare claims data.
• Advanced Analytics Toolkit: Highly capable in Python, R, SQL, dbt, Redshift, and Looker.
• Statistical Matching: Proven experience developing algorithms for high-dimensional statistical matching with large datasets.
• Security Standards: Practical experience maintaining strict PHI security protocols while building data infrastructure.
• Analytical Rigor: Ability to design and execute "actuarial-grade" studies that control for significant confounding variables.
• Communication: Exceptional ability to synthesize technical data into narratives for non-technical clients.
• Education: Advanced degree in a quantitative field (e.g., Data Science, Statistics, Health Economics, or Epidemiology).

Preferred Requirements

• Entrepreneurial DNA: A 'builder' mentality with the ability to operate effectively in high-ambiguity environments where processes may not be fully fleshed out.
• HEOR Consulting: Prior background as a Health Economics & Outcomes Research (HEOR) consultant.
• Actuarial Alignment: Experience in presenting methodology to and gaining approval from health system actuaries.

Work Style & Logistics

• This is a remote-first position.
• The project is estimated to run for 16 weeks, beginning May 7, 2026, and concluding around August 27, 2026.

Compensation & Benefits

• Competitive compensation commensurate with experience
• Potential to earn equity based on performance
• Medical, dental, and vision coverage for employees and dependents at a nominal cost
• Paid maternity leave
• FSA and Dependent Care account options
• 401(k) Eligibility after 6 months of full-time employment
• Collaborative, mission-driven work environment

If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You'll join a smart, humble, and collaborative team dedicated to improving healthcare.

Equal Employment Opportunity

Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

Software Engineer, Machine Learning (MLOps & Data)

A Career with Point72’s Surveillance Team

On the Knowledge Graph Intelligence team, you’ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.

What you’ll do

In this data-heavy role, you will design and build mission-critical infrastructure that powers our machine learning lifecycle, from large-scale data processing and feature engineering to model training, real-time deployment, and monitoring. Specifically, you will:

• Architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture, using technologies like gRPC, Kafka, and high-performance API frameworks, like FastAPI, Spring WebFlux, and Axum.
• Engineer and automate robust, large-scale data processing pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, and lead the design and implementation of our Feature Store strategy.
• Own the MLOps framework for model training, versioning, and deployment, including CI/CD pipelines, automated workflows, and experiment tracking and evaluation tooling.
• Implement sophisticated deployment strategies, including canary, blue-green, shadow, and A/B testing, to ensure safe, zero-downtime releases, and optimize inference performance for LLMs and other large models.
• Leverage cutting-edge tools and techniques like quantization and compilation to maximize throughput and minimize latency.
• Collaborate with data scientists to develop models and optimize model performance for low-latency serving using techniques like Python performance tuning.
• Define, provision, and manage our cloud infrastructure using Terraform, working hands-on with a wide array of cloud services across compute, storage, and machine learning platforms.

What’s REQUIRED

• 5+ years of experience in a software, data, or ML engineering role.
• Strong proficiency in SQL.
• Experience building and orchestrating data pipelines using tools such as Spark, dbt, and Dagster/Airflow, as well as data warehouses like Snowflake, Redshift, BigQuery.
• Understanding of infrastructure as code, including experience with Terraform.
• Proficiency with containerization and orchestration including Docker and Kubernetes.
• Hands-on experience with CI/CD tools and ML lifecycle tools, including Jenkins, MLflow, Kubeflow, and W&B.
• Experience with AWS and its core services including S3, EC2, Lambda, RDS, and EMR, and practical experience with Boto3 and AWS ML services SageMaker and Bedrock.
• Understanding of modern ML models and ability to discuss the performance characteristics and engineering trade-offs that influence deployment decisions.
• Experience with systems incorporating Graph Neural Networks (GNNs), recommendation systems, anomaly detection, and complex time-series models.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

About point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $175,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.

As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.

We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things you’ll do on the job:

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
• Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You Should:

• Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Have deep experience designing and operating production data pipelines
• Be highly proficient in SQL and experienced in data modeling
• Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understand Salesforce data models and common GTM system architectures
• Be able to translate business concepts into durable, well-structured data models
• Communicate clearly with both technical and non-technical partners

Preferred:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

Compensation:

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
• Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SN1

We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone.

Minimum Education Requirement

This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone.

What You Will Be Doing

• Become a product expert. We are a data driven group and expect you to become fully proficient in Sigma.
• Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience.
• Hire, develop and train a strong team of Support Engineers on an ongoing basis.
• Collaborate with cross-functional groups — Engineering, Design, Product, Customer Success, Sales, and Marketing ensuring delivery of a great customer experience.
• Manage and develop a strategy toward key metrics: CSAT, Initial Response (IR), SLA, Time to Resolution (TTR).
• Continuously refine processes to optimize efficiency, elevating customer support operations.
• Uncover golden insights within Support data, translating them into actionable strategies for continuous improvement.
• Develop a reputation for excellence, high credibility and integrity with peers across the org.

Qualifications We Are Looking For

• 5+ years of industry experience supporting data platforms in an enterprise environment and 2+ years in a people management role.
• Computer Science fundamentals. Strong domain expertise in databases and business intelligence.
• Comfortable with CDW environment/concepts.
• Proficient in SQL and data modeling concepts.
• A proven track record of building trust with customers and bringing issues to resolution quickly.
• Are curious, love to learn and to dig into new technologies and can pick them up quickly.
• Excellent verbal and written communication skills.

Highly Desirable Skills & Experience

• Managed a team supporting a SaaS product.
• Experience working with Snowflake, Redshift, or BigQuery.
• Knowledge of GCP or AWS.
• Startup experience.

Additional Job details

The base salary range for this position is $140k - $170k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You'll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

Minimum Education Requirement

This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone.

What You Will Be Doing

• You will work with Sigma's customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate with cross-functional groups — backend, frontend, DevOps, design, product, and the go-to-market teams to create a first-class experience for users of our product.
• Participate in quarterly projects and perform periodic on-call duties to improve automation and processes.

Qualifications We Are Looking For

• 2+ years of experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider.
• SQL proficiency — strong grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub-queries.
• SQL query performance troubleshooting and query plan analysis.
• Proficient in data modeling concepts.
• Ability to chart data into logical visualizations.
• A proven track record of building trust with customers and bringing issues to resolution quickly.
• Excellent verbal and written communication skills.
• A strong desire to build scalable processes for issue resolution — documenting common patterns and building tooling for diagnosing issues.
• Strong collaboration skills and the ability to work with multiple departments to coordinate issue triaging, diagnosis, and resolution.

Highly Desirable Skills & Experience

• Supporting a cloud service in production.
• Experience working with Snowflake, Redshift, or BigQuery.
• Knowledge of GCP or AWS.
• Startup experience.

Additional Job details

The base salary range for this position is $90k - $125k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for an annual bonus, stock options, as well as a comprehensive benefits package.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. We are enthusiastically looking for people that will help us grow our company and sometimes we are imperfect communicators and can’t articulate perfectly what experience is required for a role. We are looking for people that are excited to grow and constantly ask how we can do things better. If you are excited about the opportunity, we encourage you to apply even if you don’t satisfy 100% of the job requirements.

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive the design and delivery of analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions.

You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting.

You are curious, pragmatic, and comfortable navigating ambiguity. You translate complex business problems into structured analysis, proactively surface insights, and influence decisions through clear communication and thoughtful storytelling.

What You’ll Do

• Partner with client and internal stakeholders to define business questions, success metrics, and measurement strategies
• Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations
• Design and implement scalable dashboards and reporting frameworks for executive and operational decision-making
• Develop and maintain metric definitions, documentation, and analytics standards across engagements
• Perform deep-dive analyses to identify drivers, opportunities, and risks across product and business performance
• Design and evaluate A/B tests and experimentation strategies, including statistical interpretation and recommendations
• Collaborate with data engineers to design data models and ensure reliable, high-quality reporting layers
• Mentor junior analysts and review analytical work to ensure quality and rigor
• Communicate insights through clear narratives, visualizations, and executive-level presentations
• Identify and implement improvements to analytics workflows, governance, and data quality processes

Qualifications

• Minimum 4+ years of experience in a data analyst, business intelligence, product analytics, or consulting analytics role
• Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
• Proficiency in Python, R, or similar language for data analysis and automation
• Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI)
• Strong understanding of data modeling, dimensional modeling, and analytics architecture concepts
• Experience defining KPIs, measurement frameworks, and decision metrics
• Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation)
• Proven ability to independently structure ambiguous problems and deliver actionable insights
• Experience working directly with stakeholders and presenting to leadership audiences
• Strong written and verbal communication skills and ability to influence decisions
  Experience mentoring analysts or reviewing analytical work
• Familiarity with data governance, privacy, and security best practices

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package
• Retirement Planning
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $100,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of DevOps Engineering Manager in the Technology Department of the ACLU’s National office in New York, NY. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the technology team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

WHAT YOU'LL DO 

Reporting to the Head of Engineering, the DevOps Engineering Manager will provide technical leadership and operational oversight for the DevOps function, overseeing a team responsible for shared infrastructure and operational enablement across data, analytics, and product engineering teams. This role partners closely with cross-functional leaders to align on priorities, manage tradeoffs, and ensure that infrastructure, deployment practices, and platform operations scale sustainably alongside growing security, reliability, and experimentation demands. 

The ideal candidate is a systems-oriented engineering leader who combines hands-on technical expertise with pragmatic people management to build and scale reliable and secure mission-critical infrastructure. They will lead DevOps engineers while also contributing directly to the architectural design and incident response needs of the products and tools used in the ecosystem. They are comfortable partnering cross-functionally with multiple discipline stakeholders, to align DevOps strategy with the mission of the ACLU, navigating ambiguity in requirements, competing priorities, early risk mitigation, and scalable operating practices. 

YOUR DAY TO DAY

• Provide direct people management and individualized support to a team of skilled DevOps engineers, fostering their continued growth and impact
• Actively prioritize DevOps work across steady-state operations and major initiatives, managing team capacity and clearly surfacing risks, constraints, and tradeoffs to engineering leadership 
• Own cross-functional coordination for DevOps work, communicating workplans, sequencing, dependencies, and progress updates to partner teams 
• Translate large, ambiguous initiatives into actionable plans by breaking work into well-scoped phases, sequencing execution, and tracking delivery  
• Provide technical and architectural leadership for infrastructure and platform decisions, ensuring solutions are scalable, secure, and aligned with organizational standards 
• Serve as primary technical liaison to partner teams in IT and InfoSec, clarifying responsibility boundaries and ensuring alignment on platform strategy, security standards, timelines, and implementation details 
• Establish sustainable operational practices, including on-call coverage, incident response, escalation paths, and post-incident learning 
• Establish and evolve documentation, standards, and shared tooling to improve reliability, reduce friction, and scale engineering effectiveness 
• Recruit, onboard, and develop DevOps team members, contributing to a collaborative, inclusive, and high-performing engineering culture   
• Advise on resource planning and staffing models to meet current and anticipate future needs of the department  

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Significant experience leading technical projects in a DevOps, SRE, infrastructure, or platform engineering role supporting production systems at scale 
• Demonstrated success in leading, coordinating, or directly managing engineers, including responsibilities for planning, prioritization, goal setting, and delivery outcomes 
• Hands-on experience deploying, managing, and optimizing production systems on major cloud platforms (e.g., AWS, Azure, GCP) 
• Experience establishing or improving DevOps practices, such as configuration management, monitoring and logging, incident response, and operational reliability 
• Experience with one or more server-side languages and frameworks (e.g. Python, Flask, PHP, node.js), with the ability to build or maintain infrastructure automation  
• Experience designing, implementing and scaling cloud infrastructure, CI/CD pipelines and modern DevOps workflows 
• Experience reviewing and contributing to code bases and Infrastructure as Code tools (e.g. Terraform, CDKTF, AWS CDK) 
• Experience with containerization and orchestration technologies (e.g. Docker, ECS) 
• Experience with monitoring and observability tools (e.g., DataDog, New Relic, CloudWatch) 
• Experience acting as a technical point of contact and/or escalation point on critical production and/or architecture design challenges 
• Experience communicating technical options and tradeoffs to technical and non-technical partners 
• Proven ability to operate effectively in environments with ambiguity, competing priorities, and evolving requirements  
• Strong people leadership skills, including providing individualized feedback, mentorship, coaching, and support for professional development 
• Excellent communication skills with the ability to convey complex technical concepts clearly and concisely 

PREFERRED QUALIFCATIONS

• Familiarity with database administration and optimization for production systems (e.g. Redshift, MySQL, MS SQL Server) 
• Experience partnering with security teams to implement baseline security controls, infrastructure changes, or secure-by-design practices 
• Experience supporting data or analytics workloads, including experimentation or research environments and compute- and storage-intensive systems  

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

Spring & Bond, a part of Real Chemistry,  is a digital media agency and consultancy helping pharmaceutical and medical device manufacturers build robust, omnichannel-enabled media executions for both HCP and consumer audiences. Our focus is on client empowerment through services like customer journey planning, media strategy & activation, technology evaluation, in-house capability development, and training.

We are looking for a Senior Data Engineer to help drive the design, build, and scale of our data infrastructure. This role will be responsible for architecting and maintaining multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization. As a senior member of the Data Engineering team, you will not only deliver hands-on technical solutions but also mentor junior engineers, guide best practices, and help shape the direction of our data engineering capabilities.

What you'll do:

• Architect and optimize robust, scalable ETL pipelines and workflows to ingest, transform, and deliver data from multiple sources.

• Ensure data integrity and governance through validation frameworks, schema design, and proactive monitoring.

• Leverage advanced SQL and programming skills to extract, transform, and analyze data efficiently.

• Develop automation using Python, Pandas, AWS Lambda, and related tools to improve operational efficiency.

• Design and manage data platforms, including Snowflake, Athena, Redshift, BigQuery, and other cloud-based solutions.

• Collaborate cross-functionally with analysts, strategists, and business leaders to translate business requirements into technical solutions.

• Mentor and coach junior data engineers, setting standards for code quality, documentation, and best practices.

• Lead vendor and partner integrations, ensuring seamless data delivery and alignment with internal standards.

• Communicate effectively with both technical and non-technical stakeholders, providing clear insight and direction.

• Drive innovation, identifying opportunities to improve performance, scalability, and usability of our data systems.

What you should have:

• Bachelor’s degree in Computer Science, Data Engineering, or related field—or equivalent experience.

• 5–7+ years of experience in data engineering, with proven success building and scaling data systems.

• Expert knowledge of SQL and Python, including performance optimization and data manipulation libraries (e.g., Pandas).

• Strong experience with AWS data products (S3, Redshift, Athena, Lambda) and familiarity with multi-cloud environments.

• Deep understanding of data modeling, schema design, and best practices for large-scale data solutions.

• Demonstrated ability to design secure, reliable pipelines and troubleshoot complex issues.

• Experience leading projects and mentoring other engineers.

• Excellent communication, critical thinking, and problem-solving skills.

• Comfortable managing multiple priorities and delivering in a fast-paced environment.

Great-to-Haves

• Experience with data transformation and productivity tools (dbt, Jinja, etc.).

• Familiarity with Snowflake (Notebooks, Worksheets, VS Code plugin).

• Knowledge of data visualization platforms such as Looker Studio or similar BI tools.

• Exposure to digital marketing analytics and measurement frameworks.

Pay Range: $120,000-$137,750
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time. 

About the Role

Iterative Health is looking for a Sr Manager, Analytics to be the primary analytics partner to our operations and go-to-market teams. You will own how we define, measure, and improve performance across the business, turning raw data into clear insights that drive smarter decisions and faster execution.

This is a hands-on, high-impact role for someone who loves digging into data, building scalable reporting, and influencing strategy. You’ll work closely with Operations, Sales, and our Finance team to ensure leaders have the metrics and insights they need to grow efficiently.

Responsibilities

Own our metrics

• Define and standardize KPIs across sales, marketing, professional services and product
• Establish trusted definitions and a single source of truth for performance data
• Ensure teams are aligned on what “good” looks like and how it’s measured

Deliver insights that drive decisions

• Conduct deep-dive and ad hoc analyses to identify trends, bottlenecks, and growth opportunities
• Translate business questions into structured analyses and actionable recommendations
• Support planning, prioritization, and leadership reviews with clear data storytelling

Build scalable reporting

• Design and maintain dashboards and automated reporting in SQL and BI tools
• Replace manual spreadsheets with reliable, self-serve analytics
• Make data accessible and easy to use for non-technical stakeholders

Forecast and model performance

• Develop forecasts and models for sales performance, capacity planning, and operational targets
• Run scenario analyses to evaluate trade-offs and risks
  
  

Partner on data infrastructure

• Work closely with the Business Intelligence team on reporting architecture and analytics tooling
• Collaborate with Finance, who owns the Enterprise Data Warehouse, to ensure clean and reliable upstream data
• Improve data quality, documentation, and governance practices

Raise the bar on analytics

• Mentor teammates on best practices and enable self-serve reporting
• Champion a metrics-driven culture across the organization

What we’re looking for

Required Qualifications

• 6–9+ years in data analytics, business intelligence, or similar roles in a fast-paced or high-growth environment
• Advanced SQL and comfort working directly with large, messy datasets
• Strong experience with BI tools (Power BI, Looker, Tableau, etc.)
• Proven track record building dashboards, defining KPIs, and automating reporting
• Experience translating ambiguous business problems into structured analyses
• Excellent communication skills - able to influence leaders and explain insights simply
• Highly self-directed and comfortable owning problems end-to-end
  
  

Preferred Qualifications

• Experience with Salesforce or sales/revenue analytics
• Python or R for advanced analysis
• Experience working with modern data warehouses (Snowflake, BigQuery, Redshift)

The Challenge

Data Platform Engineer will be part of an innovative Enterprise data team that enables Marketing, Product, Sales, and Finance to explore data and take actions that differentiate us from our competition. You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.  

Your Mission

• You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.  
• Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure.  
• Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow) 
• Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments. 
• Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA  
• Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy.  
• Work effectively using scrum with multiple team members to deliver value effectively.  
• Reduce technical debt over time with root cause identification, issue resolution and promote best practices across the platform 

You Are

This hands-on technical role demands excellent knowledge and can demonstrate best practices in the industry.

Your Experience Includes 

• Bachelor's or master's degree in computer science, Engineering or related field 
• 3+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects. 
• Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines 
• 1+ years of experience with Python and manipulation of various data formats for extraction and transformation 
• 1+ years of experience with Snowflake, Airflow, ETL/Integration tools administration. 
• Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis) 
• Experience evaluating new tools and enriching existing architecture 
• You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables, timelines and tradeoffs 

About the Role

Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that power SchonAI, our firm's internal AI platform. You will work at the intersection of data engineering and AI, ensuring that high-quality, timely, and relevant data flows seamlessly to our AI systems to support investment professionals across the firm.

Key Responsibilities

Data Pipeline Development

• Design and build scalable, reliable data pipelines to ingest, transform, and deliver structured and unstructured data to SchonAI using Prefect.
• Develop ETL/ELT processes for diverse data sources including market data, research documents, internal databases, and third-party APIs.
• Implement real-time and batch data processing workflows to meet varying latency requirements.
• Ensure data quality, consistency, and integrity across all pipelines.

AI Data Infrastructure

• Build and maintain data infrastructure optimized for AI/ML workloads, including vector databases and semantic search systems.
• Design data schemas and storage solutions that support efficient retrieval and processing for LLM applications.
• Implement data versioning, lineage tracking, and observability for AI training and inference pipelines.
• Optimize data delivery for low-latency AI interactions and high-throughput batch processing.

Integration & Collaboration

• Partner with AI engineers, software developers, and data scientists to understand data requirements.
• Integrate with existing firm systems including risk platforms, trading systems, portfolio management tools, and research databases.
• Collaborate with infrastructure teams on cloud architecture, security, and compliance requirements.
• Work closely with business stakeholders to prioritize data sources and pipeline enhancements.

Data Governance & Security

• Implement appropriate data access controls, encryption, and compliance measures.
• Ensure adherence to data governance policies and regulatory requirements.
• Monitor and maintain data pipeline performance, reliability, and cost efficiency.
• Document data flows, transformations, and dependencies.

Required Qualifications

Technical Skills

• Programming: Strong proficiency in Python; experience with SQL and at least one other language (e.g. Java, Scala, Go, Rust)
• Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar
• Big Data Technologies: Hands-on experience with distributed computing frameworks (Spark, Flink) and modern data platforms
• Cloud Platforms: Proficiency with AWS services (S3, Kubernetes) or equivalent GCP services
• Databases: Experience with both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Elasticsearch)
• AI/ML Data: Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines

Preferred Experience

• Experience building data pipelines for LLM applications or RAG (Retrieval Augmented Generation) systems
• Familiarity with financial data sources (market data, fundamental data, alternative data)
• Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)
• Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Understanding of MLOps practices and tools
• Experience with data quality frameworks (Great Expectations, Deequ)

 Professional Skills

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field
• Strong problem-solving skills and attention to detail
• Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
• Experience working in fast-paced, collaborative environments
• Self-motivated with ability to manage multiple priorities

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $225k and $275k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

#LI-PW1

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com  

About the Role

We are looking for strong software engineers who are hungry to learn continuously and take ownership of the tools and products that they work on in accordance with best practices for Agile Software Development. We believe that a good engineer can move from one project to another and can learn new skills effortlessly if they are motivated by what they do. Don't let the language or framework you know now be a barrier to applying for the role you would like!  

We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritizes the principles of Agile delivery and continuous improvement. You will have a Data-driven, evidence-based mentality, comfortable with the principles of continuous experimentation and validation.

Key Responsibilities

• Design, develop, and maintain data processing applications and services using Spark, Java, Kotlin
• Build and maintain ETL pipelines and Data Processing architectures
• Implement and manage relational databases, ensuring data integrity and performance.
• Optimize applications for maximum speed and scalability.
• Write clean, maintainable, and efficient code.
• Troubleshoot and debug applications.
• Stay up-to-date with emerging technologies and industry trends 

Qualifications 

• Proven experience as a Software Engineer.
• Proficiency in one distributed columnar data store (Spark, Hive, Redshift, Presto, Snowflake)
• Proficiency in a compiled language(Java, Scala, Kotlin, Python)
• Strong understanding of relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong communication skills. 

Preferred Qualifications 

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with Agile development methodologies.
• Experience with testing frameworks (e.g., JUnit). 
• Familiarity with Kubernetes / Docker

The base salary range for this role is $145,000 - $200,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.  

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.  

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

About Sigma Computing

Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds.

We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives.

Key Responsibilities:

• Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts.
• Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights.
• NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support.
• Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention.
• Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives.
• Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base.

Required Skills / Experience:

• Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
• 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
• Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
• Strong analytical skills with a proven ability to solve complex problems using data.
• Excellent communication and interpersonal skills, with a knack for building trust and driving engagement.
• Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
• Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)
• ETL experience
• Experience implementing production business intelligence solutions
• Startup experience

Additional Job details

The base salary range for this position is $132k - $165k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. 

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone is one of the leading asset management firms in derivatives and complementary strategies. With approximately $12 billion of AUM and over 330 employees (as of December 1^st, 2025), Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Milan, Los Angeles, Hong Kong, Stamford, and Boston.

For over 20 years, across market cycles, we have identified anomalies, tracked dislocations, and capitalized on opportunities to deliver for our investors. Our approach is built on a different way of investing, working together to innovate new strategies and solutions. Together, we explore the overlooked in the pursuit of lasting results for our clients.

With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.

Overview

As a Data Engineer, you will be at the forefront of building a leading and innovative market data platform that underpins our business. You will contribute to the build out and upkeep of Capstone’s data platform. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management.  

The ideal candidate will have essential expertise in creating and maintaining market data platform pipelines and tools. You will have relevant experience working with financial data and exposure to various data stores such as Snowflake, Redshift and timeseries databases. As a liaison between technical teams and business users, excellent communication skills are a must. We value those who take personal ownership of tasks and display a commitment to delivering high-quality results. The ideal candidate for this role is self-starting, flexible, intellectually curious and adept at creative problem solving. 

Responsibilities and Impact:

• Contribute to the design, build and support of a world class data platform that covers real time market data, unstructured data and alternative data.
• Develop data solutions that enable investment professionals to efficiently extract insights from data.  
• Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resilience of our data platform.
• Working directly with Product and Portfolio Managers to understand their data needs and provide end-to-end data solutions that address requirements.
• Work with timeseries databases (e.g. ArcticDB, KDB+) to store, query, and manage dense time-series data effectively. 
• Build out data quality and integrity tools to ensure robust data validation and error handling.
• Investigate data issues, working with data providers to ensure seamless interconnection between different data sets.

Our future colleague has these skills:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4 –6 years in a software development focused role
• Proficient in Python and SQL
• Excellent communication skills and the ability to work with, and inspire, a wide cross section of data professionals. 

Do you possess these Bonus Skills:.

• Knowledge of fixed income products (options, swaps, futures, etc.) 
• Familiarity with AWS ecosystem 
• Understanding of streaming pipelines 
• Awareness of key financial vendors (e.g. Bloomberg, Refinitiv, FactSet)  
• Knowledge of OLAP platforms and workloads using tools like Snowflake or Trino 
• Experience with timeseries databases (e.g. ArcticDB, KDB+) 
• Experience working with trading teams, data teams and infrastructure teams 

Benefits & Compensation Information:

Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this.  We offer a robust and competitive benefits program to ensure the well-being of our colleagues.

Some benefits included in this role are:

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental and Financial
• Time-Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

The applicable base salary range for this role is $140,000 - $165,000 USD. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

In addition to base compensation, this role is eligible for an annual incentive plan.

To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Don’t forget to follow us on LinkedIn

Capstone’s Commitment

At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices.

At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.

Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.

Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.

Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.

Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.

Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.

Equal Opportunity Employer
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.

With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.

The Team

The Data Platform Team builds and maintains the core database technologies and automation frameworks that power Capstone’s cutting-edge investment strategies. Our mission is to build a highly automated, self-service platform that enables teams across the firm to innovate at scale.

We are looking for a motivated technologist who thrives on solving complex challenges and designing resilient, secure, and high-performance systems. You will play a key role in shaping the firm’s next-generation data platform, with opportunities to learn advanced technologies and contribute to mission-critical systems. This role offers exceptional exposure to diverse areas of the hedge fund, providing opportunities to influence critical systems and deliver impactful solutions.

Our future colleague has these skills:

• 3+ years of professional experience, ideally within the financial sector (equity, credit, derivatives trading environments)
• Engineering experience in enterprise database technologies, with strong proficiency in Microsoft SQL Server (MSSQL)
• Development experience across multiple languages (SQL, PowerShell, Python) for solving complex problems and building automation
• Automation-first mindset, including experience with Infrastructure as Code (IaC) and scripting for repeatable deployments
• Database performance tuning and optimization: ability to analyze execution plans, manage indexing strategies, and troubleshoot query bottlenecks
• Database design and modelling fundamentals: normalization, constraints, transactions, and schema versioning
• Version control and CI/CD experience: Git workflows and automated deployments using tools such as Jenkins, Azure DevOps, or GitHub Actions
• Leverage open-source monitoring tools (e.g., Prometheus, Grafana) for performance and health checks
• Excellent verbal and written communication skills for collaboration and documentation

Do you possess these Bonus Skills:

• Experience with Apache Iceberg on object storage (S3) and engines like Spark/Trino.
• Exposure to multiple database platforms such as PostgreSQL, Snowflake, Amazon Redshift, MongoDB, Cassandra, etc.
• Exposure to distributed data platforms (Kafka)
• Familiarity with enterprise infrastructure (storage, networking, compute), Linux administration (Red Hat) and Windows Server.
• Exposure to Kubernetes

Benefits & Compensation Information:

Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.

Some benefits included in this role are:

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental and Financial
• Time-Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

The applicable base salary range for this role is $145,000-$175,000 USD. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

In addition to base compensation, this role is eligible for an annual incentive plan. To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Don’t forget to follow us on LinkedIn

Capstone’s Commitment

At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices. At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.

Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.

Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.

Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.

Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.

Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.

Equal Opportunity Employer
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

ABOUT THE ROLE:

We’re hiring an Analytics Engineer to help design and build a PBM Financial Risk Engine that brings together claims, contract terms, pricing and utilization data to support financial forecasting, risk assessment and performance monitoring. This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys working at the intersection of healthcare economics, PBM operations and data modeling. The ideal candidate will play a pivotal role in developing and maintaining our financial risk engine data models, onboarding new data sources and optimizing existing data sources and packaging the data in a way that promotes seamless reporting while paving a way for innovation through advanced analytics. This role will involve delivering and analyzing PBM financial data for various analytics use cases within our Unified Data Warehouse (UDW) and productionalizing AI and ML solutions through the curated data to drive impactful healthcare insights.

WHAT YOU’LL DO:

• Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems using PBM data.
• Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM financial risk engine, leveraging claims, eligibility, pricing, rebates, guarantees and contract data in our Unified Data Warehouse (UDW).
• Translate complex PBM contract and pricing structures (e.g plan paid vs. member paid, rebates, guarantees, caps, fees, exclusions) into transparent, auditable data models that enable financial analysis and risk assessment.
• Partner closely with underwriting, finance, client success and PBM operations teams to understand financial assumptions, risk drivers and reporting requirements and convert them into reliable metrics and models.
• Build curated financial and risk data marts and semantic layers that enable self service analysis for forecasting, scenario modeling and executive reporting among other things.
• Own core financial KPIs and risk metrics E2E from raw claims and contract inputs through production grade models, ensuring consistency and traceability.
• Implement automated data quality checks, reconciliations and controls to validate financial outputs and ensure alignment with source systems and contractual logic.
• Continuously optimize data models and warehouse performance to support large scale claims volumes and time-sensitive financial analysis.
• Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability.
• Communicate complex financial insights clearly through data memos, documentation and presentations for both technical and non technical stakeholders.
• Explore advanced analytics and predictive modeling use cases (e.g utilization forecasting, trend analysis, risk stratification, margin sensitivity) to enhance financial planning and decision making. Experience operationalizing ML models is a plus.

WHO YOU ARE:

• Expert level proficiency in SQL and statistical programming (Python, R).
• 3 to 4 years working experience with data modeling, dbt and analytics engineering best practices (testing, documentation, incremental models, semantic layers).
• Experience in cloud platforms (preferably in AWS) and hands-on experience in cloud data warehouses (Redshift or Snowflake).
• Business acumen with exposure to PBM, healthcare finance, underwriting or actuarial concepts.
• Experience modeling large scale claims data and translating contractual or financial rules into clear, testable data logic.
• Strong analytical and problem-solving skills.
• Ability to understand, tackle, and solve problems from both technical and business perspectives.
• Comfortable partnering closely with finance, underwriting and operations stakeholders to align data models with real world financial decisions.
• High attention to detail and a bias toward accuracy, transparency and explainability in financial reporting.

SALARY (Before Bonus Potential):  $140,000

CYBERSECURITY AWARENESS NOTICE

In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. 

ABOUT RIGHTWAY:

Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them.

Since its founding in 2017, Rightway has raised over $130mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global at a valuation of $1 billion. We’re headquartered in New York City, with a satellite office in Denver. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.

HOW WE LIVE OUR VALUES TO OUR TEAMMATES:

We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our following core values:

1) We are human, first
Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding.

2) We redefine what is possible
We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems.

3) We debate then commit
We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team.

4) We cultivate grit
Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity.

5) We seek to delight
Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success.

Rightway is PROUDLY an Equal Opportunity Employer that believes in strength in the diversity of thought processes, beliefs, background and education and fosters an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis covered by appropriate law. All employment is decided on the consideration of merit, qualifications, need and performance.

ABOUT THE ROLE:

We’re hiring an Analytics Engineer to support and scale clinical programs, with a strong focus on building analytics foundations for programs that will be centered around Rightway’s care complete initiatives. This role sits at the intersection of analytics engineering, clinical program management, and business decision-making, and is ideal for someone who enjoys translating complex clinical workflows into clean, usable data models. The ideal candidate will play a pivotal role in developing and maintaining our clinical program data models, onboarding new data sources and optimizing existing data sources and packaging the data in a way that promotes seamless reporting while paving a way for innovation through advanced analytics. This role will involve delivering and analyzing data for various analytics use cases within our Unified Data Warehouse (UDW) and productionalizing AI and ML solutions through the curated data to drive impactful healthcare insights.

WHAT YOU’LL DO:

• Apply hands-on analytics engineering expertise to solve complex, fast paced business and clinical problems using data.
• Design, develop and maintain scalable, analytics ready data models and pipelines (primarily in dbt) that power clinical program reporting, metrics and insights in our Unified Data Warehouse (UDW).
• Partner closely with clinical program leaders, analysts, product teams, and operations stakeholders to understand program workflows (e.g., enrollment, adherence, outcomes, follow ups) and translate them into intuitive, well documented data models.
• Build curated data marts and semantic layers that make analytics for clinical programs (such as diabetes and weight management) easy to self-serve for dashboards, ad-hoc analysis and operational reporting.
• Own KPI and metric definitions end-to-end, from raw source data through production-grade models, ensuring consistency, transparency and trust in reporting.
• Implement automated data validation, testing and quality checks to ensure high data reliability across clinical and operational datasets.
• Continuously optimize data models and warehouse performance for both cost and speed as usage scales.
• Contribute to analytics governance by establishing guardrails, documentation and best practices that improve accountability, ownership, and data literacy across teams.
• Communicate insights effectively by developing clear data memos, documentation and presentations tailored to clinical and business stakeholders.
• Explore and integrate AI-enabled analytics and predictive modeling use cases (e.g., adherence risk, program outcomes, operational forecasting) into the analytics stack. Experience operationalizing ML models is a plus.
•  

WHO YOU ARE:

• 3 to 4 years working in data analytics and analytics engineering.
• Expert-level proficiency in SQL and statistical programming (Python, R).
• Expert-level proficiency in DBT (data build tool).
• Experience in cloud platforms (preferably in AWS) and hands-on experience in cloud data warehouses (Redshift or Snowflake).
• Experience in dimensional modeling and defining star/snowflake schemas to create a foundation for reporting.
• Strong business acumen, preferably with exposure to clinical programs, care management, or healthcare operations.
• Ability to design data models that reflect real-world clinical workflows, not just technical schemas.
• Strong analytical and problem-solving skills.
• Ability to understand, tackle, and solve problems from both technical and business perspectives.
• Experienced with developing data tools, memos, and presentations to deliver data and insights to stakeholders.

SALARY (Before Bonus Potential):  $130,000

CYBERSECURITY AWARENESS NOTICE

In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. 

ABOUT RIGHTWAY:

Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them.

Since its founding in 2017, Rightway has raised over $130mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global at a valuation of $1 billion. We’re headquartered in New York City, with a satellite office in Denver. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.

HOW WE LIVE OUR VALUES TO OUR TEAMMATES:

We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our following core values:

1) We are human, first
Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding.

2) We redefine what is possible
We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems.

3) We debate then commit
We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team.

4) We cultivate grit
Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity.

5) We seek to delight
Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success.

Rightway is PROUDLY an Equal Opportunity Employer that believes in strength in the diversity of thought processes, beliefs, background and education and fosters an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis covered by appropriate law. All employment is decided on the consideration of merit, qualifications, need and performance.

About us

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.

About the role

We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis’s AI agents, including owning critical client integrations. You will work closely with the product, engineering, and AI/ML teams to ensure Thesis’s data architecture is scalable, reliable, secure, and actionable. This is a broad-scope, high-impact role for a technical builder who thrives in ambiguity and wants meaningful ownership over modern data infrastructure in an early-stage healthcare startup.

Responsibilities

• Build core data infrastructure: Design, implement, and maintain scalable, data pipelines and architectures across ingestion, transformation, and storage layers
• Own client integrations and data ingestion: Structure and maintain durable integrations and ETL workflows to reliably onboard and normalize client data.
• Design robust data models: Build and maintain clean, well-documented data models that support reporting, analytics, and downstream automation.
• Enable product and analytics outcomes: Ensure data flows accurately from source systems to products, analytics, and AI/ML use cases.
• Drive data quality and reliability: Implement monitoring, testing, and observability to ensure high data quality and system uptime.

We expect you to have:

• Strong technical foundation: 4-6+ years of experience in Data Engineering or Software Engineering with a data focus; strong proficiency in Python and SQL.
• Modern data stack experience: Hands-on experience with cloud data platforms (AWS and/or GCP), data warehouses (Snowflake, Redshift, or BigQuery), orchestration tools (Airflow or similar), and transformation tools (dbt preferred).
• Healthcare data chops: Familiarity integrating with healthcare data standards and systems (e.g., FHIR/HL7, EHR APIs), including working with messy clinical/claims data.
• Data modeling expertise: Experience designing data models for different sources, workflows, and business processes.
• Clear communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders.
• NYC-based: You are based in New York and excited to be in-office 3+ days per week.

Target compensation for this role is $170-$250k, plus equity and a generous benefits package.

Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The Role

As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform — building the ontology, data contracts, and reconciliation frameworks that enable intelligent agents to operate safely and autonomously.

AI systems only perform as well as the structure beneath them. You will architect custodial data pipelines, canonical financial models, and AI-ready schemas that support embeddings, retrieval systems, and agent-driven workflows in a regulated wealth management environment.

We are building autonomous agents that reason over and act on platform state — and you will define the data layer that makes that possible.

Your Impact

• Design scalable ingestion pipelines across custodians (Schwab, Fidelity, Pershing, etc.) and internal financial systems
• Build and evolve canonical models for accounts, positions, transactions, balances, corporate actions, and household hierarchies
• Define financial data ontology and enforce strong data contracts across services
• Implement reconciliation frameworks and golden-source resolution across multi-vendor datasets
• Engineer AI-ready data layers optimized for embeddings, vector search, and RAG architectures
• Structure financial datasets to improve prompt reliability and LLM output consistency
• Architect closed-loop, agent-driven systems that monitor, reason over, and autonomously remediate data inconsistencies
• Implement observability, lineage, governance, and fine-grained access controls across regulated datasets

The Ideal Match

• 5+ years building production-grade data platforms
• Deep SQL expertise and strong Python for data engineering
• Experience designing canonical schemas and resolving vendor data inconsistencies
• Strong understanding of custodial financial data (positions, trades, balances, performance, corporate actions)
• Familiarity with embeddings, vector databases, and retrieval architectures
• Exposure to prompt engineering and structured context design for LLM systems
• Knowledge of MLOps fundamentals (versioning, monitoring, reproducibility)
• Comfortable with AWS data services (S3, Lambda, ECS, Glue, Redshift, OpenSearch) and event-driven orchestration
• Strong ownership mindset and systems-level thinking

Bonus Points

• Wealth management or capital markets background
• Experience integrating OpenAI or Anthropic APIs into production systems
• Experience designing retrieval schemas for AI agents
• Experience with authorization and policy platforms (e.g., OSO, Auth0)
• Experience implementing fine-grained access control for AI-driven systems
• Familiarity with GitHub-based CI/CD workflows and automation
• Experience with data governance, lineage, and compliance controls

Why Join Us

• Learn & grow through book clubs, seminars, and peer learning sessions
• Full health benefits + 401(k) matching & Roth IRA options
• Unlimited PTO
• An amazing collaborative atmosphere between product, design, and engineering to solve hard problems together

Ready to disrupt wealth management? Let's talk!

DATA ANALYST, CUSTOMER INTELLIGENCE 

Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Growth team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences.

ABOUT THE ROLE

We are seeking a strong Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.

RESPONSIBILITIES

• Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
• Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
• Identify new & iterative high-impact opportunities to further scale or improve unit economic efficiency
• Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
• Ensure data integrity, accuracy, and governance across multiple data sources and platforms.

REQUIREMENTS

• Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field.
• Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology.
• Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc).
• Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms.
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences.
• Strong business acumen and the ability to translate business questions into data analysis plans.
• Experience with A/B testing and experimental design.
• Working experience with Python for data analysis.

ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS

• Familiarity with the fintech industry and banking products is a plus.
• Ability to thrive in a fast-paced, collaborative environment.
• Exposure to dimensional modeling concepts to power meaningful analytics.
• Experience building data pipelines in dbt.
• Familiarity with machine learning techniques and predictive analytics is a plus.
• Experience modeling data using dbt.

This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

BENEFITS

• Competitive salary 
• Meaningful equity in the form of stock options 
• 401(k) plan
• Discretionary performance bonus program 
• Biannual performance reviews
• Medical, Dental and Vision premiums covered at 100% for you and your dependents 
• Flexible time off and paid holidays 
• Generous parental leave policy
• Commuter benefits 
• Fitness benefits
• Healthcare and Dependent care FSA benefit 
• Employee Assistance Programs focused on mental health 
• Healthcare advocacy program for all employees 
• Access to mental health apps 
• Team building activities
• Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

FEQ426R545

Mission 

As a Sr. Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases.  You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture.  SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform.  As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
• Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community.

What we look for:

• 8+ years of experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW systems.
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP.
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling large analytical data workloads in the cloud that are performant and cost-effective.
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools.
• Experience successfully migrating on-premise EDW workloads to the public cloud.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Production programming experience in SQL and Python, Scala, or Java.
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
• 7 years of professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 5 years of customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.

Location: NYC, New York - Onsite Work Required

We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. 

Key Responsibilities: 

• Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica. 

• Design and implement data workflows on Snowflake or comparable cloud data platforms. 

• Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations. 

• Write efficient, maintainable, and well-tested Python code following object-oriented principles. 

• Develop and optimize complex SQL queries for data extraction, manipulation, and analysis. 

• Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell. 

• Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency. 

• Contribute to best practices around code quality, testing, and deployment. 

Required Skills & Experience: 

• Strong proficiency in Object-Oriented Python development. 

• Experience designing and executing ETL processes, preferably with Informatica. 

• Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery. 

• Solid SQL skills for complex query writing and performance optimization. 

• Proficiency in scripting languages like Shell, Bash, or PowerShell. 

• Understanding of data modeling, data pipeline optimization, and distributed data processing concepts. 

• Familiarity with software development best practices, source control, and CI/CD pipelines. 

• Experience working in Agile environments. 

• Full working proficiency with English (Written and Verbal) 

Preferred Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related discipline. 

• Prior experience in financial services, especially with data reconciliation or risk-related data workflows 

We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. 

About the Role

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work.

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production.

What You'll Work On:

• Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery.
• End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring.
• Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes.
• Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation.
• Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle.

Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

• BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
• 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.
• Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP.
• Solid software engineering skills with proficiency in one or more programming languages, including Python.​​  The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
• Proficiency in SQL is also required for writing complex queries and transforming data.
• Experience building REST API-based services.
• Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes.  
• Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data.
• Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines.
• Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.
• A passion for quickly learning new technologies and a drive to solve challenging problems.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Staff and a Senior Platform Engineer to join our Engineering team. You will collaborate closely with our application engineering, data science, and analytics teams to understand and manage our infrastructure needs. This is a great opportunity to flex your skills across operations, application & data infrastructure, security and performance. Working with a small team, you will help drive the goals and metrics for your area and contribute to technology and architecture decisions. Unlike a more narrowly specialized role, this job affords a lot of agency and the opportunity to work with users across a number of different disciplines.

Responsibilities

• Manage and support several customer facing applications and products
• Work to find ways to improve our application and system reliability across our infrastructure
• Participate in technical architecture discussions; deployment, security and availability strategies
• Collaborate with data scientists, engineers, and product managers to understand the company's infrastructure-related needs
• Manage and support back office and business intelligence systems, used across multiple departments and teams

Qualifications

• 5+ years of experience working in cloud-based infrastructure. (AWS preferred)
• Experience with Auto Scaling, CDNs, DNS, Load Balancers, Multi Region and Multi-Tenant Topologies, Proxy Servers, and WAFs
• Strong experience with Linux, shell/bash and Python scripting
• Experience with monitoring and logging tools. (DataDog, Kibana, or similar)
• Experience with containerization technologies. (Kubernetes, Docker, or similar)
• Experience with configuration management and provisioning tools. (Terraform preferred)
• Experience managing RDBMS. (Postgres/RDS, Redshift, or similar)
• Experience with ingestion and ETL. a plus
• Experience with streaming and big data processing (Kafka, Spark, or similar), a plus

Benefits

• Total compensation ($180,000 - $210,000)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 WFH reimbursement
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Staff and a Senior Platform Engineer to join our Engineering team. You will collaborate closely with our application engineering, data science, and analytics teams to understand and manage our infrastructure needs. This is a great opportunity to flex your skills across operations, application & data infrastructure, security and performance. Working with a small team, you will help drive the goals and metrics for your area and contribute to technology and architecture decisions. Unlike a more narrowly specialized role, this job affords a lot of agency and the opportunity to work with users across a number of different disciplines.

Responsibilities

• Manage and support several customer facing applications and products
• Work to find ways to improve our application and system reliability across our infrastructure
• Participate in technical architecture discussions; deployment, security and availability strategies
• Collaborate with data scientists, engineers, and product managers to understand the company's infrastructure-related needs
• Manage and support back office and business intelligence systems, used across multiple departments and teams

Qualifications

• 5+ years of experience working in cloud-based infrastructure. (AWS preferred)
• Experience with Auto Scaling, CDNs, DNS, Load Balancers, Multi Region and Multi-Tenant Topologies, Proxy Servers, and WAFs
• Strong experience with Linux, shell/bash and Python scripting
• Experience with monitoring and logging tools. (DataDog, Kibana, or similar)
• Experience with containerization technologies. (Kubernetes, Docker, or similar)
• Experience with configuration management and provisioning tools. (Terraform preferred)
• Experience managing RDBMS. (Postgres/RDS, Redshift, or similar)
• Experience with ingestion and ETL. a plus
• Experience with streaming and big data processing (Kafka, Spark, or similar), a plus

Benefits

• Total compensation ($180,000 - $210,000)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 WFH reimbursement
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID