CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

As CLEAR continues to scale, we’re deepening our investment in the data ecosystem that powers our decision-making. We’re looking for a Senior Analytics Engineer, Business Intelligence to own the presentation layer of our data stack. This is a hands-on, senior individual contributor role for someone who blends exquisite data modeling craft, deep familiarity with tools like dbt and Looker, a knowledge of the state of the art, and a passion for designing data structures that enable intuitive self-service. 

You’ll define the semantic and analytical layers that drive clarity across the business, transforming complex data into clear, trusted metrics and models that everyone at CLEAR can rely on.

What You'll Do:

• Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR. Develop metrics that drive a consistent, opinionated view of business performance across Finance, Product, Marketing, and Operations teams.
• Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices.
• Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models. 
• Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions.
• Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement.

What you’re great at:

• 6+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment.
• Expert-level SQL: you can structure models for clarity, reuse, and performance at scale. 
• Proven experience working with modern data stack technologies, including Snowflake, dbt, Dagster, and Looker.
• Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics.
• Strong understanding of dimensional modeling and data warehousing principles. You are always thinking about performance and scalability.
• Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood.
• Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own.
• Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions.
• Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered.

Why You’ll Love This Role:

• High-impact: You’ll build the analytics foundations that will guide decision-making across CLEAR.
• Craft and influence: This role blends technical ownership with the opportunity to shape how data is understood company-wide.
• Mission-driven culture: You’ll help build experiences that make life simpler and more secure for millions.
• Autonomy: You’ll own and lead initiatives end-to-end, mentor others, and establish best practices that scale with the company.
• Culture that moves: We are a team that values curiosity, iteration, direct feedback, and risk taking.
• Great benefits & growth: Competitive compensation, liquid equity, catered lunches, and good vibes.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. 

The total compensation range for this role is $225,000-$300,000, depending on levels of skills and experience.

This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

About the role

The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.

Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.

We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.

Responsibilities

• Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
• Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
• Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
• Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
• Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
• Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
• Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
• Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.

What you'll work with

• An executive team that has committed to an AI-native operating model and is funding it.
• An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
• A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
• Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
• A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.

Why this role is hard

Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.

We are looking for an engineer who finds those constraints clarifying rather than limiting.

Requirements

• 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
• Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
• Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
• Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
• Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
• BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the role

The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.

Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.

We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.

Responsibilities

• Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
• Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
• Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
• Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
• Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
• Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
• Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
• Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.

What you'll work with

• An executive team that has committed to an AI-native operating model and is funding it.
• An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
• A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
• Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
• A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.

Why this role is hard

Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.

We are looking for an engineer who finds those constraints clarifying rather than limiting.

Requirements

• 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
• Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
• Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
• Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
• Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
• BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

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

Our B2B Team

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

About the Role

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

You Will

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

About You

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

You Have

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

What Makes This Job Amazing

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

What You'll Earn and Enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

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

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

More About Noom

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

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

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

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

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

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

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

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

About The Role

This is a high-leverage, high-agency role focused on scaling partner-sourced revenue through deep technical alignment with Snowflake, Databricks, GCP, and the broader MarTech & AdTech ecosystem.

You’ll operate more like a GTM strategist and operator than a traditional SE, working across dozens of deals at once through partner influence — not direct sales cycles. You’ll help partners and their customers design the right solutions, accelerate time-to-value, and drive joint adoption, all while maintaining strong technical credibility.

We get excited talking to data engineers, product managers, marketers, and business leaders — and know how to distill technical concepts for different audiences. Your work will make it easier for partners to succeed and, ultimately, grow Hightouch’s partner-sourced revenue.

What You’ll Do

• Drive outbound technical engagement with partner field teams to educate, evangelize, and accelerate joint opportunities
• Act as the technical counterpart for partner AEs and solution architects in enterprise opportunities, supporting discovery, architecture, and solution design
• Build and deliver scalable enablement materials, hands-on labs, demos, and GTM resources for partner teams
• Collaborate with Product, Sales, and Engineering to shape partner strategy and influence product roadmap based on partner and market feedback
• Design and present high-impact, industry- and customer-tailored demos, workshops, and executive briefings
• Serve as a trusted technical advisor to partners building product integrations or joint solutions with Hightouch
• Translate complex customer data challenges into actionable guidance for both technical and executive stakeholders
• Continuously improve knowledge via partner certifications, new tools, and trends in composable CDP, MarTech, AdTech, and data activation
• Travel up to 25% for partner events, enablement sessions, and strategic GTM engagements

What We’re Looking For

• 4+ years in Solutions Engineering, Product, or GTM roles at data infrastructure, MarTech, AdTech, or SaaS companies
• Experience supporting enterprise partners, ideally influencing deals or adoption through technical expertise
• Strong grasp of the modern data stack and composable architectures — familiarity with tools like Fivetran, dbt, Hightouch, Braze, Iterable, or Salesforce Data Cloud is a plus
• Hands-on technical fluency with SQL and cloud data warehouses (Snowflake, Databricks, BigQuery)
• Ability to communicate complex technical concepts to both executive and practitioner audiences
• Proven track record of driving adoption or revenue through partner, field, or cross-functional GTM motions
• Intellectual curiosity, high ambition, strong ownership, and a bias toward action
• Experience working across multiple teams (Product, Engineering, Sales, Support) to solve complex problems
• Comfortable engaging both technical and non-technical stakeholders

Bonus If You Have

• SaaS or cloud architecture experience
• Experience working with channel or ecosystem partners
• Development experience with APIs
• Consulting or startup experience
• Experience bridging Product, Engineering, Support, and Sales teams internally and externally

Compensation

On-Target Earnings Range: $160,000-$230,000 annually
Base Salary Range: $90,000- $161,000 annually
We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window

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.

About the Opportunity 

Managing data is a core element of operating the world’s most inspiring Virtual Power Plant (VPP). (You can’t fact check vibes.) Data Engineering is the team that brings it all together. From millions of internet-connected devices that use, store, and distribute power to all the clients that use those devices to manage grid load, Data Engineering makes it possible. We love data, translation, observability, and quality. 

From schema design to data transformation, from privacy and security to compliance, Data Engineering covers a lot of range. It’s a tight-knit team of engineers dedicated to excellence, quality, high-throughput communication, and deep collaboration. Client experience is at the focus of our efforts, but we also serve other internal customers with high-value data and information. 

The Role

You will integrate with the Data Engineering team, collaborating as a full-fledged member of the team, not doing some intern project on the side. You are joining us during the busiest season and will get a full glimpse of what it is like to work on a dedicated team of professionals who care about one another and are dedicated to each other’s success.

• Collaborate closely across teams to help build and maintain EnergyHub’s core data products
• Pair with and receive mentorship from brilliant engineers from a variety of backgrounds, gaining wisdom from their unique experiences and talents
• Deepen your knowledge of modern data engineering tools like Snowflake, dbt, Airflow, and Sigma
• Work in an agile environment, deepening your understanding of translating business and client needs into excellent products
• Contribute to mission-critical projects across the data lifecycle through
  • Feature development
  • Data platform enhancement
  • Bug fixes (identification & resolution)
  • Automations & efficiency improvements
  • Pair programming and code review (providing & receiving feedback)
  • Documentation
  • Monitoring and alerting
• Improve monitoring, troubleshooting, and resolution processes to improve our processes
• Monitor cloud costs across our toolset to maintain efficiency and justify expenses
• Build the absolutely coolest stuff of your career (so far)
• Help your hiring manager sustainably manage their usage of adjectives and adverbs
• Other duties as assigned

About you

• First and foremost, you have to sincerely love data and all the things it can enable and empower
• Current enrollment in (or immediate graduate of) an undergraduate or graduate program in or related to data engineering
• Proficiency in SQL and Python and perhaps even dbt and Sigma experience, with an awesome ability to bring sanity and clarity to syntactic complexity
  • Nice to have: Snowflake Data Warehousing Workshop (Badge 1)
  • Nice to have: dbt Fundamentals
• Some monitoring and dashboarding experience (e.g. Snowflake, Sigma, Datadog)
• A clear understanding of the difference between OLAP and OLTP RDBMS systems and when to recommend one over the other
• Knowledge of a variety of file structures such as CSV, JSON, and Parquet, and when one might be preferable over others
• Drive and dedication for quality and performance in everything you touch and thirst for learning new techniques
• Clear communication (written and verbal), capable collaboration (in-office and online), and cultivated curiosity
• Warmth and welcoming for your collaborators, colleagues, and cohort, with an urge to help them succeed and pay their generosity forward to others
• Above-average appreciation for alliteration
• Well-grounded stance on AI adoption that makes you a stronger, more capable engineer

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

About the Opportunity

The Commercial & Industrial (C&I) Team facilitates the management of our non-residential demand response programs, covering some of our largest customers and programs by flexible grid capacity. Our newly formed team will play a critical role in ensuring the scalability and flexibility of our future by creating a first class platform for our clients. This is an opportunity to join a highly energized team of engineers eager to define and develop key concepts, solve complex challenges with real-world constraints and have a positive impact on our climate future. This is a three-month internship opportunity.

Main Responsibilities: What you’ll do

• Collaborate with and receive mentorship from brilliant engineers from a variety of backgrounds, gaining wisdom from their unique experiences and talents
• Own a high-impact project during your internship and deepen your knowledge of modern data engineering tools like Snowflake, dbt, Airflow, and Sigma
• Work in an agile environment, deepening your understanding of translating product requirements into excellent products
• Improve monitoring, troubleshooting, and resolution processes to improve EnergyHub’s products
• Improve our production pipelines, reducing tech debt and ensuring efficient data processing for our customers
• Other duties as assigned

Required Skills and Experience: What you need

• First and foremost, you have to sincerely love data and all the things it can enable and empower
• Current enrollment in (or immediate graduate of) an undergraduate or graduate program in or related to data engineering
• Proficiency in SQL and Python and perhaps even dbt and Sigma experience, with an awesome ability to bring sanity and clarity to syntactic complexity
• Some monitoring and dashboarding experience (e.g. Snowflake, Sigma, Datadog)
• A clear understanding of the difference between OLAP and OLTP systems and a basic familiarity with file structures like CSV, JSON, and Parquet.

Preferred Skills and Experience: Nice-to-haves

• Drive and dedication for quality and performance in everything you touch and thirst for learning new techniques
• Clear communication (written and verbal), capable collaboration (in-office and online), and cultivated curiosity
• Warmth and welcoming for your collaborators, colleagues, and cohort, with an urge to help them succeed and pay their generosity forward to others

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

About the Opportunity 

As a Software Engineering Intern on our growing EV team, you will design and develop frontend or backend services that support residential EV programs, while maintaining a strong security posture across our infrastructure. Working closely with leading EV
providers such as Tesla and GM, you will improve grid flexibility and enhance the value of our programs.

Partnering with other engineers, you will build new services and products in EnergyHub’s EV platform, engaging homeowners and OEMs on initiatives that unlock the full potential of EVs and deliver meaningful grid impact.

This role can encompass several areas including data monitoring, internal tooling and reporting, integrations with EV OEMs or other third party services, and new features to improve the quality and breadth of our EV solutions. Ideally, we would love our intern to be with us from July to December.

Main Responsibilities

• Develop Kotlin-based or Ruby on Rails-based solutions, working towards well-structured, high-quality code with automated testing
• Develop front-end solutions supporting EV drivers and/or utilities in React
• Collaborate cross-functionally with product managers, internal engineering teams, and stakeholders to contribute to high-impact projects.
• Work within real-world constraints to develop creative solutions that work towards platform flexibility and scalability.
• Contribute to best practices for CI/CD, data modeling, and iterative development (e.g., PoCs, rapid prototyping, milestone-based execution).
• Actively participate in a strong technical culture of respect, open communication, and collaboration.
• Write and maintain technical documentation
• Drive and embody the “Dev Owns Quality” culture
• Other duties as assigned

Key Skills and Experience

• Eager to learn new technologies and enthusiastic to be a full-stack engineer with a focus on application development, integrations and internal tooling
• Experience developing the full SDLC
• Experience with Java, Kotlin and/or Ruby on Rails
• Experience with React
• Strong problem-solving skills, capable of balancing multiple use cases while enabling flexibility 
• Strong communication skills, with an emphasis on cross-functional collaboration
  and working on challenging technical problems

Preferred Skills and Experience

• Extensive data engineering experience is a huge plus, including addressing data quality issues, building data pipelines, monitoring and alerting
• Experience with relational databases and SQL is a plus
• Experience with S3, MongoDB, AWS, DBT, Snowflake a plus
• Experience with web services and RESTful APIs
• Familiarity with CI/CD pipelines and modern software development practices
• Proven ability to deliver high-quality, iterative value while maintaining execution speed
• Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-NK1

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.
• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.
• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.
• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Experience with orchestration platforms, such as Temporal and AWS Step Functions.
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

About the role

As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.

Responsibilities:

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars

• Define and execute the strategic roadmap for product data foundations and analytics capabilities

• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts

• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements

• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team

• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams

• Foster a culture of technical excellence, continuous learning, and data-driven decision making

• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

You might be a good fit if you have:

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment

• 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles

• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture

• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools

• Proven track record of building and leading high-performing teams

• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights

• Demonstrated ability to balance strategic thinking with hands-on technical leadership

• Strong communication skills with the ability to translate complex technical concepts for diverse audiences

• Experience scaling analytics functions from early stage to maturity in rapidly changing environments

• Track record of establishing data governance, quality standards, and best practices

• A bias for action and urgency, not letting perfect be the enemy of the effective

• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end

• A passion for Anthropic’s mission of building helpful, honest, and harmless AI

About the Role

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. 

Responsibilities:

• Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
• Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in our organization’s data models and the company's data architecture

You might be a good fit if you have:

• 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
• Expertise in SQL and Python to transform data into accurate, clean data models.
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
• Experience building an Analytics Data Engineering (or similar) function at start-ups. 
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

Who We Are

EDO is the TV outcomes company. Our measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales, helping advertisers, agencies, networks, streamers, and studios understand what works across linear and streaming TV.

We combine immediate engagement signals with decision science, vertical AI, and investment-grade data to help the advertising industry maximize media impact, optimize creative performance, and value every impression. EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For employees residing full-time in NYC, SF, or LA, we have a hybrid work policy of three days in the office and two remote work days.

The Role

EDO is looking for a Senior Platform Engineer to help accelerate our shift toward a platform model. This is a senior IC role on the Infrastructure team focused on paved paths, reusable infrastructure patterns, and self-service workflows that help software, data, and machine learning engineers ship safely and efficiently.

Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA/Airflow, Snowflake, dbt, Chef, Terraform, Spacelift, and emerging ECS/container patterns. The right person has strong AWS and infrastructure-as-code fundamentals, prior exposure to platform engineering practices, and the pragmatism to modernize existing systems without assuming everything should be rebuilt from scratch.

We approach infrastructure as an internal product: understanding engineers’ needs, prioritizing high-leverage platform capabilities, and iterating on tools and workflows that make teams faster, safer, and more self-sufficient.

What You Will Do

• Build and evolve EDO's internal platform capabilities: paved paths, reusable infrastructure modules, deployment standards, documentation, and self-service workflows.
• Own and improve Terraform and Spacelift-based infrastructure workflows, including module design, reviews, approvals, drift detection, and guardrails.
• Modernize existing AWS infrastructure, including EC2- and Chef-based systems, while helping teams adopt more standardized and repeatable patterns over time.
• Support production data and ML platform infrastructure, including MWAA/Airflow, Snowflake, dbt, SageMaker, S3, RDS, and related AWS services.
• Partner with software, data, and ML engineers as internal customers, turning recurring infrastructure needs into scalable platform capabilities rather than one-off support work.
• Improve deployment, CI/CD, observability, alerting, and incident response practices so teams can operate production systems with greater confidence.
• Expand pragmatic ECS/container deployment patterns where they create value, without treating Kubernetes as the default answer.
• Participate in a lightweight on-call rotation and use operational learnings to reduce toil, improve reliability, and strengthen the platform.

What We Are Looking For

• 6+ years of experience in platform engineering, infrastructure engineering, SRE, DevOps, cloud infrastructure, or similar roles.
• Experience building, operating, or contributing to an internal developer platform, infrastructure platform, developer productivity team, or similar platform-oriented function.
• Strong production experience with AWS, especially EC2, RDS, S3, IAM, networking, load balancing, and related operational patterns.
• Strong hands-on experience with Terraform or similar infrastructure-as-code tooling, including reusable modules and multi-environment patterns.
• Comfort working in a data-heavy environment and supporting technologies such as Airflow/MWAA, Snowflake, dbt, SageMaker, S3, and RDS.
• Product-minded approach to infrastructure: able to understand engineer pain points, prioritize high-impact platform work, document paved paths, and iterate based on adoption and feedback.
• Strong operational judgment, including debugging production systems, improving observability, and building platform patterns that support reliability, security, and cost efficiency.

Bonus Points

• Hands-on experience with Spacelift or similar IaC orchestration platforms such as Terraform Cloud or Atlantis.
• Experience helping an organization adopt platform engineering practices, including paved paths, golden paths, service templates, and developer-facing documentation.
• Experience with Chef, AWS cost management, security/compliance-driven infrastructure, or production ML/data science infrastructure.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $170,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

Senior Sales Operations Analyst, 6-month contract 
Location: Hybrid in NYC (3 day in-office requirement) OR Remote in Denver, CO

Qualifications:

• 5+ years in Sales Operations, Revenue Operations, or a data-heavy analytical role
• Hands-on Salesforce experience, including data quality management and CRM administration
• Experience in a SaaS or subscription business
• Exposure to partner/channel GTM models is a plus
• Familiarity with dbt or SQL-based transformation tooling is a plus

A day in the life and how you’ll make an impact:

• Build scalable self-serve reporting so that field teams, from AEs to Partner Consulting Managers, can answer their own questions without routing through Ops.
• Proactive and accurate forecasting of sales metrics
• Analysis and reporting of KPI’s - identifying trends and making recommendations
• Quota deployment aligned to budget with a coverage model and territory design to support achieving business objectives
• Managing internal systems at maximum efficiency and becoming a global leader in process
• Data accuracy in Salesforce and supporting management reporting
• Document everything to a standard that means the business is never dependent on one person, and new team members can onboard quickly and confidently.
• Timely delivery of relevant and accurate data & insights meeting the needs of the GTM team
• Continuous adherence to Data Use and Governance processes and standards
• Championing new GTM Tech and AI in region to ensure maximum value, impact and efficiency

About the team:

Working closely with the Sales Operations Manager and the wider GTM Operations team, the Senior Sales Operations Analyst will be responsible for proactive forecasting of sales metrics and KPIs; analysis and reporting that identifies trends and drives recommendations; quota deployment aligned to budget, underpinned by a coverage model and territory design that supports achieving business objectives; and maintaining internal systems at maximum efficiency. You will own data accuracy in Salesforce and management reporting, ensure timely delivery of relevant insights to the GTM team, uphold Data Use and Governance standards, and champion new GTM technology and AI in Region to drive maximum value, impact, and efficiency.

About Melio USA: 

• Competitive compensation packages: We strive to make each and every employee feel valued and appreciated. 
• The annual base salary range for this position is $135,000-155,000 for NYC based candidates.
• The annual base salary range for this position is $116,000-145,000 for Denver (remote) based candidates.
• Medical, Dental, and Vision: We offer generous and highly competitive plans with up to 100% employer-paid coverage, FSA and HSA.
• 401K: Feel the investment of working at a high-growth company.
• Wellness: We take a holistic approach to wellness at Melio with a focus on providing financial, physical, emotional, social, and community support for our employees. 
• Time Off: Time to rest and recharge is a priority for us. We offer competitive vacation time, sick days, holidays, parental leave and wedding days to allow you to take the time you need, when you need it. 
• Food perks: Enjoy our fully stocked kitchens, along with a weekly Seamless stipend and plenty of catered meals each week. 
• Office culture: Thrive in our collaborative offices in New York City in a hybrid working environment. We are dog friendly as well!
• Growth and development: Lean on the diverse team to foster professional and personal growth through workshops, mentorship programs, and team building activities. 

Melio builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft. As the fastest-growing B2B payment platform in the US, Melio is working hard to find new and better ways to help small businesses succeed in the ways that work best for them.

Melio's diversity, equity and inclusion efforts have always been a top priority within our team. We are an Equal Opportunity Employer, and all of our employees encompass different strengths, experiences and backgrounds. DEI within Melio prioritizes race, gender, age, disability status, veteran status, sexual orientation, religion and many other parts that make up one's identity. Having a diverse team across all offices is key to our success, and inclusion is each #TeaMelio member's responsibility. Melio accepts job applications on an ongoing basis until the position is filled. If you are interested in applying for this job opportunity, please do so directly on our careers page (or if you’re here already, scroll down and apply now!). This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

We're seeking a Senior Manager, Marketing Analytics to help define and lead how the SharkNinja Marketing team harnesses AI to power smarter decisions globally. This is a high-impact, evolving role at the intersection of data, technology, and marketing strategy — and the right candidate will help shape what it becomes.

The ideal candidate brings a strong foundation in data and analytics engineering, a genuine curiosity about applied AI, and the ability to translate emerging capabilities into practical tools that help marketing teams move faster and make better decisions.

Responsibilities

• Launch performance intelligence: Develop the frameworks, metrics, and AI-powered models that enable SharkNinja to systematically evaluate go-to-market success — identifying the drivers of launch performance across markets and product lines.
• Content effectiveness: Build the measurement infrastructure to assess social content effectiveness, surface performance patterns, and connect content signals to broader marketing and commercial outcomes.
• Upstream market intelligence: Leverage AI to synthesize competitive, consumer, and category signals that inform upstream positioning decisions and give SharkNinja a forward-looking view of the market.
• Data infrastructure & AI enablement: Design and maintain the data pipelines and AI tooling that underpin launch intelligence, content effectiveness, and upstream market analysis — ensuring quality, scalability, and alignment with the broader global marketing strategy.
• Cross-functional partnership: Collaborate with Marketing, Analytics, IT, and Commercial Data teams to align priorities and translate analytical outputs into decisions that move the business forward.

Requirements

• Education: Bachelor's in Data Science, Analytics, Computer Science, or related field. Master's preferred.
• Experience: 8–10 years in analytics or data science, with demonstrated experience applying AI or ML in a commercial context. CPG, retail, or consumer technology background preferred.
• Applied AI: Practical experience deploying AI and machine learning solutions that generate measurable business impact, not just theoretical knowledge.
• Modern data stack: Proficiency in tools such as Snowflake, dbt, and Fivetran, with strong knowledge of ETL/ELT processes and visualization platforms.
• Commercial acumen: Ability to connect data and AI outputs to marketing and business outcomes, with enough fluency across media, social, and go-to-market to ask the right questions.
• Communication & influence: Strong ability to communicate across technical and non-technical audiences and influence senior stakeholders with data-driven recommendations.
• Player-coach mindset: Proven ability to build hands-on while enabling broader team success. Comfortable operating with ambiguity and establishing structure in a fast-moving, matrixed environment.

About the Role

We are seeking analytical talent to turn passion for data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG), you will join a large community of accomplished analysts who partner with Product, Engineering, and Design teams across the business. You will be embedded within our platforms teams and report to the Director, Data & Insights.

Responsibilities:

• You will write SQL, Python, DBT code to pipeline and analyze big datasets across multiple domains
• You will develop data models, pipelines, infrastructure, and metrics that create evergreen solutions and support the wider analytics team
• You will design and run A/B tests to quantify the effectiveness & business impact of platform enhancements
• You will perform strategic analysis to advise and influence our platform roadmaps
• You will build data visualizations and dashboards to expand self-service access to our insights
• You will develop insights on our push channel, helping to optimize platform capabilities that drive engagements & revenue
• 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:

• Advanced proficiency in SQL and experience working with cloud based relational databases (such as BigQuery)
• 3+ years of experience working in product analytics, data science or other data teams
• 3+ years of experience with data visualization tools such as Hex, LookML, PowerBI
• 3+ years of experience in at least one additional scripting language like Python, R, or JavaScript (Python preferred)

Preferred Qualifications:

• 1+ years of experience with version control (Github, code review)
• 1+ years of experience with experimentation and other statistical inference methods
• 1+ years of experience working in dbt
• 1+ years of experience working with a data notebook tools like Jupyter Notebooks
• Familiarity with email & push campaigns + product channel analytics.

REQ-019350

About the Role:

We are part of a New York-based technology organization with a remote-friendly workplace that includes engineers around the world. We value transparency and openness, learning, community, and continuous improvement. Check out the Times Open blog, which is written by engineers and other technical team members, and follow @nytdevs on Twitter to see what we're up to.

Responsibilities:

• Design, model, and implement complex ELT/ETL pipelines for the cleansed and curated data layers in the medallion architecture, taking full ownership of the data product's structure, partitioning, documentation, and performance characteristics.

• Develop advanced data transformations using dbt (data build tool) for relational data modeling and PySpark for large-scale data processing within the Lakehouse, ensuring outputs meet strict Service Level Agreements and quality standards.

• Collaborate across teams to define requirements and translate them into robust and scalable data models suitable for analytic consumption.

• Manage the physical data storage across both GCP and AWS, selecting optimal file formats and designing efficient partitioning and clustering strategies.

• Administer and tune Spark compute resources (e.g., Dataproc, EMR, or managed services) to optimize job execution time and cost.

• Own core components of our centralized analytics environment, specifically focused on Hex, integrations, and the methods of data exposure and access controls; and support data activation strategies, ensuring seamless data consumption by analytic tools.

• Optimize user queries and access patterns to maintain platform performance and cost efficiency.

• Implement centralized data quality checks and observability mechanisms within the data pipeline to proactively identify and resolve data issues.

• Contribute to the implementation of metadata management, data lineage, and role-based access control (RBAC) initiatives across the Lakehouse environment.

• 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:

• 2+ years of hands-on experience in a Data Engineering, Data Warehousing, Analytics Engineering or equivalent role

• Proficiency in SQL and experience with complex, production-level data modeling (dimensional modeling, Kimball, OBT, or Data Vault)

• Demonstrated experience designing, developing, and deploying end-to-end data products through the full Software Development Lifecycle

• Experience with a Cloud Data Warehouse, like BigQuery

• Proficiency in Python for scripting and data manipulation, including knowledge of PySpark or other Spark APIs

• Familiarity with cloud services and data storage components in at least one major cloud provider (GCP or AWS)

• Experience with workflow orchestration tools (e.g., Airflow, Cloud Composer, or Prefect) and version control systems (Git)

Preferred Qualifications:

• Experience operating in a dual-cloud environment (GCP/AWS)

• Experience with Infrastructure-as-Code (IaC) tools like Terraform

• Experience with advanced Lakehouse file formats like Iceberg or Delta Lake

• Familiarity with experimentation or A/B testing platforms and the data required to support them

• Experience in data product quality standards through integration advanced testing, quality checks, and monitoring into the CI/CD pipeline

REQ-019489

#LI-hybrid

About the Role:

The position of the Data Engineer will be part of the Partner Revenue team that develops and deploys data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines to promote faster, better, data-informed decision-making within the business.

The role is a hybrid position requiring 3 days a week in the office. You will report to the Director of Partner Revenue Technology.

Responsibilities:

• You will develop scalable data and ETL solutions
• You will develop scalable data platform components
• You will support existing platforms and implement data pipelines that ingest, transform, and curate data
• You will support any future migrations to new platforms using cloud-based technologies
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 2+ years knowledge and experience in SQL for querying and data modeling
• 2+ years experience with any ETL frameworks or tools preferably Pentaho Data Integration or similar tools
• Demonstrated programming skills in Python and Shell scripting or similar language

Preferred Qualifications:

• Knowledge in data modeling and data warehouse concepts and have technical abilities to develop and debug complex code using AWS/GCP cloud infrastructure
• Experience with ETL Tools, Shell scripting, SQL, Python, Java, Airflow, dbt with the understanding of data flows, data warehouse architecture, ETL concepts and processing of structured and unstructured data
• Proven knowledge of CI/CD practices and version control (Git)
• Demonstrated ability to code with VSCode or similar IDE tools with the ability to use AI coding assistant tools such as cursor and github copilot

About the Role:

The Data Platform Mission aims to empower the organization to access and use data to answer important questions, power user experiences, and to make strategic decisions that drive value and impact across the organization.

We are looking for Analytics Engineers that can help develop a new function within Data Platform that focuses on supporting our most critical data assets across The New York Times data domains. You will partner with many different teams and roles to develop data products, capabilities, and technologies. This role is based in our New York City office in Times Square.

As an Analytics Engineer II, you'll work with teams across the organization to manage, support, and improve the quality of data across specific organizational domains that help to make data-driven decisions and experiences as efficient as possible. You will develop deep expertise within specific data domains, being a subject matter expert for the business and being an important partner across data initiatives. You will report to the Executive Director of Analytics Engineering.

Responsibilities:

Data Platform Evangelist

• Provide frameworks, training, and guidance to individuals across the organization to utilize data platform capabilities or to submit well-defined data needs and requests
• Establish data management frameworks that provide clear recommendations and requirements for data producers, while also working with data platform team to integrate into capabilities
• Embed and work closely with data platform teams to build out governance into core capabilities

Data Quality

• Create and maintain data quality frameworks, definitions, and metrics that are consistently applied across data domains, products, and key data assets
• Define and test business logic to identify and surface domain-specific quality measures in conjunction with other data teams, that can be passed to data platform teams to implement once validated
• Establish a process to implement, track, and ensure data quality frameworks are adhered to
• Proactively monitor, surface, triage and track key data issues for data products and systems that provide visibility for data producers and data consumers to react accordingly, including the development of enterprise dashboards
• Partner with data engineering teams to test and build out capabilities that promote quality, including data lineage, testing frameworks, writing quality checks, etc.

Domain Support

• Maintain, update, and evolve our enterprise data and metrics catalogs
• Ensure the accuracy, completeness, consistency, and reliability of data within assigned domains
• Collaborate with various teams to understand domain needs, prioritize initiatives, maintain data models, and oversee the implementation of data governance standards
• Continuously improve data quality, identifies issues, and develops solutions to comply with regulatory requirements
• Document data management standards and supports business data stewards
• Identify and resolve data issues and risks within the domain
• Monitor domain maturity index with KPIs of data governance, quality, integration, security, and analytics
• Develop domain-specific documentation such as Data Use Cases and Data Flow Diagrams
• Provide support and training to the business regarding data governance and modeling

Analytics Enablement

• Work closely with data platform to pilot, test, and build out user-friendly ways to consume data products
• Collaborate with business stakeholders, Data and Insights teams, and Data Platform product managers to gather requirements and translate into effective, user-friendly dashboards, reports, datasets, or artifacts
• Design and launch enterprise-wide dashboards and data visualization tools to track key enterprise and business metrics, for internal clients, stakeholders, and the executive team
• Identify opportunities to streamline and automate reports, common business questions, etc.
• 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 in business intelligence, product analytics, data management, or data governance
• Proficiency in Python, SQL, and data APIs to work with large, complex datasets across multiple business domains
• Understand, and prototype scripts to support data pipelines, business rules, quality checks, and general data lifecycle activities
• Expert with DBT, Airflow, and other ETL/ELT orchestrators
• Expert with version control (Github, code review)
• Proficiency with GCP, AWS, or other big data environments
• Familiarity with business intelligence tools and developing dashboards
• Knowledge of industry-leading data governance, quality, and data management practices and tools

Preferred Qualifications:

• Expertise with JSON, YAML, relational data modeling, and other data modeling languages and tools
• Experience working with event-based and behavioral data and instrumentation

REQ-019606

About the Role, Mission or Department Overview

As part of the Data and Insights Group (DIG), you will join a large community of accomplished data analysts who partner with Product, Engineering, Design, and PMO teams across the business. You will help inform the data and insights strategy for the Subscriber Revenue team as an individual contributor. This team leads innovation in new revenue-generating models for the company, including initiatives like the exploration and launch of our family plan. You will have a direct and quantifiable impact in our subscribers business. You will report to the Executive Director, Growth Analytics.

Responsibilities:

• You will define strategy within your team's problem space and oversee the definition and execution of solutions
• You will present data-oriented analyses to high-level partners to guide team strategy
• You will develop best practices for experiment design, including advising on hypothesis generation, sample size, and counter metrics
• You will deliver test analysis, advice on future tests and next steps
• You will collaborate with product, data science, and tech to bring to life new targeting and insight tools
• You will lead all phases of analytic work: from problem definition to representation of results
• You will produce insights, advocating for them and driving them into action
• You will 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:

• 5+ years of experience working with data analytics or data science teams to deliver analysis or a quantitative degree
• Mastery of Proficiency in SQL and experience working with relational databases
• 1+ years of experience with data visualization tools such as Mode, Tableau, or Looker
• 1+ years of experience applying statistics to strategic problems
• You are proficient in Python or R

Preferred Qualifications:

• Familiarity with Google BigQuery, AWS, or other big data environments
• 1+ years of experience with dbt
• Comfort with version control (Github, code review
• 1+ years of experience data modeling
• 1+ years of experience with data visualization tools such as Mode, Tableau, or Looker, Hex)
• Familiarity with using Gen AI–enabled tools for analytics and workflow acceleration (e.g., Claude Code, Cursor, Hex)

REQ-019879 

About the Role

We are seeking a Principal Software Engineer to lead the architecture and evolution of our data and machine learning infrastructure. This role will shape the foundation on which data-driven products, analytics, and AI applications are built. You will design systems that enable large-scale data processing, reliable pipelines, and efficient machine learning development—from feature engineering to real-time model serving.

As a principal engineer, you will partner with product, data science, and platform teams to set technical direction, drive adoption of reusable frameworks, and mentor engineers across the organization. You will ensure that both data and ML platforms are scalable, reliable, cost-efficient, and compliant with privacy and governance standards.

The core of the Data Platform is a data lake on AWS S3 with Apache Iceberg as the table format to ensure reliability. Data ingestion is standardized through Confluent Kafka for real-time streaming and Fivetran for ingestion of files and change-data. The transformation layer is decoupled from storage, using Apache Flink for stream processing, AWS Glue (Spark) for core ETL , and dbt/Athena for building analytical data models. The platform serves data through fit-for-purpose data stores, including Amazon DynamoDB for low-latency applications and Google BigQuery as the primary engine for analytics and BI.

You will report to the Sr. Director of Engineering. This role can be remote in the US, with a preference for candidates in the New York City area.

Responsibilities:

• Architect & Build Platform: Design and evolve infrastructure for data ingestion, storage, batch and streaming pipelines, and machine learning workflows

• Enable ML at Scale: Build systems for training, deploying, monitoring, and governing models, including feature stores, registries, and inference platforms

• Reliability & Observability: Ensure end-to-end system reliability, monitoring, and cost transparency across data and ML workloads

• Self-Service Platforms: Deliver frameworks and APIs that enable engineers, analysts, and ML scientists to build and operate solutions independently

• Innovation & Standards: Evaluate and introduce emerging technologies (vector databases, distributed training, orchestration frameworks, LLM stacks) and establish adoption guidelines

• Cross-Functional Leadership: Partner with platform, product, and engineering and ML science leaders to align on strategy and accelerate delivery

• Mentorship & Influence: Guide senior and staff engineers, lead architecture reviews, and raise the technical bar across data and ML domains

• 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:

• 10+ years of software engineering experience with a focus on distributed systems, data platforms, and ML infrastructure or equivalent

• Proven ability to influence technical direction across multiple teams and mentor senior/staff engineers

• Proven expertise in data processing frameworks and table formats (e.g. Spark, Flink, Iceberg) and orchestration tools (e.g. Airflow, Kubeflow)

• Deep knowledge of ML infrastructure: model training pipelines, feature stores, registries, serving, and monitoring

• Strong programming skills in Python and at least one compiled language like Java or Go

• Experience designing systems with scalability, reliability, and cost-efficiency as first-class concerns

• Cloud platform experience (AWS, GCP), familiarity with Kubernetes and modern data platform architectures

• Familiarity with compliance and governance in data/ML systems (auditability, privacy, explainability)

• Familiarity with the data lakehouse paradigm and medallion architecture

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-Remote

REQ-018968

About the Role, Mission or Department Overview

The New York Times is looking for a Senior Analyst to join our Enterprise Analytics Team within the Data and Insights Group (DIG).

As part of the Enterprise Analytics team, you will work with teams across DIG, Data Platforms, and Strategy. You will uncover meaningful patterns from our data, automate reporting, create consistent metric definitions, in support of a trustworthy, scalable enterprise data foundation. You will help shape an enterprise-wide view of the journalistic, product and commercial drivers of the business to inform strategy, quarterly earnings and other related deliverables. You will report to the Director, Enterprise Analytics.

Responsibilities:

• You will collaborate with Strategy teams and DIG counterparts to deliver holistic analyses and performance reporting (slide decks, memos) on audience, engagement, and subscription growth to executives, the Board, and Wall Street

• You will build and maintain centralized reporting dashboards and automated reports on enterprise metrics, for use by analysts and business stakeholders across the organization

• You will code in R or Python to analyze data, build visualizations, and create automated reporting infrastructure

• You will write SQL to build pipelines, reporting architecture, and analyze large datasets.

• You will 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:

• 2+ years of experience working with data analytics or data science teams to deliver reporting and analysis

• Proficiency in SQL and experience working with relational databases

• 2+ years of experience in at least one additional scripting language like R or Python

• 1+ years experience with data visualization and presenting insights from data

Preferred Qualifications:

• 1+ years of experience working in big data environments such as BigQuery or dbt, querying 10M+ rows

• 1+ years of experience working in dbt or other data transformation or scheduling tool

• 1+ years of experience with version control (Github, code review)

• 1+ years of experience with subscription or revenue metrics

REQ-019896 

About the Role, Mission or Department Overview

The Data Platform Mission aims to empower the organization to access and use data to answer important questions, power user experiences, and to make strategic decisions that drive value and impact across the organization.

We are looking for Analytics Engineers that can help develop a new function within Data Platform that focuses on supporting our most critical data assets across The New York Times data domains. You will partner with many different teams and roles to develop data products, capabilities, and technologies. This role is based in our New York City office in Times Square.

As a Senior Analytics Engineer, you'll work with teams across the organization to manage, support, and improve the quality of data across specific organizational domains that help to make data-driven decisions and experiences as efficient as possible. You will develop deep expertise within specific data domains, being a subject matter expert for the business and being an important partner across data initiatives. You will report to the Executive Director of Analytics Engineering.

Responsibilities:

Data Platform Evangelist

• Provide frameworks, training, and guidance to individuals across the organization to utilize data platform capabilities or to submit well-defined data needs and requests
• Establish data management frameworks that provide clear recommendations and requirements for data producers, while also working with data platform team to integrate into capabilities
• Embed and work closely with data platform teams to build out governance into core capabilities

Data Quality

• Create and maintain data quality frameworks, definitions, and metrics that are consistently applied across data domains, products, and key data assets

• Define and test business logic to identify and surface domain-specific quality measures in conjunction with other data teams, that can be passed to data platform teams to implement once validated
• Establish a process to implement, track, and ensure data quality frameworks are adhered to
• Proactively monitor, surface, triage and track key data issues for data products and systems that provide visibility for data producers and data consumers to react accordingly, including the development of enterprise dashboards
• Partner with data engineering teams to test and build out capabilities that promote quality, including data lineage, testing frameworks, writing quality checks, etc.

Domain Support

• Maintain, update, and evolve our enterprise data and metrics catalogs
• Ensure the accuracy, completeness, consistency, and reliability of data within assigned domains
• Collaborate with various teams to understand domain needs, prioritize initiatives, maintain data models, and oversee the implementation of data governance standards
• Continuously improve data quality, identifies issues, and develops solutions to comply with regulatory requirements
• Document data management standards and supports business data stewards
• Identify and resolve data issues and risks within the domain
• Monitor domain maturity index with KPIs of data governance, quality, integration, security, and analytics
• Develop domain-specific documentation such as Data Use Cases and Data Flow Diagrams
• Provide support and training to the business regarding data governance and modeling

Analytics Enablement

• Work closely with data platform to pilot, test, and build out user-friendly ways to consume data products
• Collaborate with business stakeholders, Data and Insights teams, and Data Platform product managers to gather requirements and translate into effective, user-friendly dashboards, reports, datasets, or artifacts
• Design and launch enterprise-wide dashboards and data visualization tools to track key enterprise and business metrics, for internal clients, stakeholders, and the executive team
• Identify opportunities to streamline and automate reports, common business questions, etc.
• 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:

• 5+ years in business intelligence, product analytics, data management, or data governance
• Proficiency in Python, SQL, and data APIs to work with large, complex datasets across multiple business domains
• Understand, and prototype scripts to support data pipelines, business rules, quality checks, and general data lifecycle activities
• Expert with DBT, Airflow, and other ETL/ELT orchestrators
• Expert with version control (Github, code review)
• Proficiency with GCP, AWS, or other big data environments
• Familiarity with business intelligence tools and developing dashboards
• Knowledge of industry-leading data governance, quality, and data management practices and tools

Preferred Qualifications:

• Expertise with JSON, YAML, relational data modeling, and other data modeling languages and tools
• Experience working with event-based and behavioral data and instrumentation

REQ-019608 

About the Role

We are seeking analytical talent to turn passion for data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG), you will join a large community of accomplished analysts who partner with Product, Engineering, and Design teams across the business. You will be embedded within our platforms teams and report to the Director, Data & Insights.

Responsibilities:

• You will write SQL, Python, DBT code to pipeline and analyze big datasets across multiple domains
• You will develop data models, pipelines, infrastructure, and metrics that create evergreen solutions and support the wider analytics team
• You will design and run A/B tests to quantify the effectiveness & business impact of platform enhancements
• You will perform strategic analysis to advise and influence our platform roadmaps
• You will build data visualizations and dashboards to expand self-service access to our insights
• You will develop insights on our push channel, helping to optimize platform capabilities that drive engagements & revenue
• 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:

• Advanced proficiency in SQL and experience working with cloud based relational databases (such as BigQuery)
• 3+ years of experience working in product analytics, data science or other data teams
• 3+ years of experience with data visualization tools such as Hex, LookML, PowerBI
• 3+ years of experience in at least one additional scripting language like Python, R, or JavaScript (Python preferred)

Preferred Qualifications:

• 1+ years of experience with version control (Github, code review)
• 1+ years of experience with experimentation and other statistical inference methods
• 1+ years of experience working in dbt
• 1+ years of experience working with a data notebook tools like Jupyter Notebooks
• Familiarity with email & push campaigns + product channel analytics.

REQ-019389

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

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

About the role:

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

You will report into the Associate Director, Data Science. 

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

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

Responsibilities:

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

Requirements:

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

Bonus points:

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

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.

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.

About the role:

We are seeking an exceptional Senior Software Engineer to join our Engineering team. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Lead technical strategy and decision-making on assigned domains
• Use AI to build, optimize, and maintain software systems
• Mentor and uplevel early-career engineers
• Collaborate across disciplines to understand our domain and iterate on projects
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 4+ years of software engineering experience
• A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment
• Demonstrated ability to build complex systems using AI coding agents (we use Claude Code)
• The ability to learn quickly and mentor others
• Familiarity with data security and HIPAA compliance
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $190,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. 

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
• Expertise in SQL, job experience, and demonstrated strength with Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
• Expertise with SQL tuning, Spark development, medallion and event-driven architectures. 
• Familiarity with healthcare or insurance
• Familiarity with data security and HIPAA compliance
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $180,000.00 - $220,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

About the role:

We are seeking an exceptional Senior Data Analyst to join our Garner Connect team. You will work on the core systems that power our provider facing products. You will own our financial ROI model, the product analytics, & the data analytics strategy for a new provider product. You’ll play a pivotal role in shaping how we use data to steer members to better healthcare outcomes, partnering with product managers and engineers to deliver high performing systems at scale. Garner’s member app guides members through their healthcare journey to ensure they receive high quality care while ensuring provider affordability and availability.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Identify and measure success of a new financial product, including financial ROI, performance guarantees, and performance reporting
• Own projects end to end including problem definition, implementation, validation, & iteration
• Research, develop, and maintain data framework, including data pipelines, statistical models, and advanced analytical solutions
• Collaborate cross-functionally with data, product, engineering and operations teams  to shape how we define product and provider engagement metrics, and model provider behavior
• Synthesize and present your work to Garner leadership to drive company level decisions
• Contribute to improving data analytics practices, tooling, and documentation

The ideal candidate has:

• 3+ years of experience in performing data, financial and/or risk analytics in a healthcare environment 
• 2+ years of experience using SQL to query, analyze, and manipulate data, including experience with one or more semantic technologies (dbt, Power BI, or similar)
• 2+ years of experience working with Business Intelligence and visualization tools including Looker, Power BI, Tableau etc. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively
• A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
• Deep expertise in value-based care, population health, or clinical risk adjustment, with a nuanced understanding of healthcare data (claims, network & contracting, social determinants of health)
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
• Preferred: Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one.

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: We are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $167,000 - $200,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are seeking an exceptional Engineering Manager to join and lead the team responsible for the systems that generate Garner’s national healthcare provider rankings. This role reports to the VP of Health Intelligence Engineering. The ideal candidate for this role should have a high sense of ownership, be comfortable mentoring engineers of all levels, have experience with distributed systems, and be able to reliably deliver complex technical solutions. 

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Provide technical leadership and deliver new features aligned with Garner’s strategic objectives
• Own and manage the core systems responsible for generating provider rankings
• Maintain high standards of quality while driving efficient, timely delivery
• Balance the development of new capabilities with the need to scale and optimize existing systems
• Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
• Champion user data privacy and security across all data initiatives 
• Foster a high-performing, collaborative team culture through hands-on leadership, mentorship, and talent development

The ideal candidate has:

• 5+ years of hands-on engineering experience, with a focus on Big Data and distributed systems
• 1+ years of managing engineering teams, with a track record of building and mentoring high performing teams
• Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. 
• Proficiency with Big Data technologies such as Argo, Apache iceberg, AWS glue, Spark, Metaflow, DBT, and Soda
• Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
• Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
• Preference for managing healthcare data standards (e.g. HIPAA, EDI)
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is: $239,000 - $275,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

About the role:

We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. 

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
• Expertise in SQL and Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
• Familiarity with healthcare or insurance
• Familiarity with data security and HIPPA compliance
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use:

Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $125,000-$165,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

About the role:

We are seeking an exceptional Data Analyst to join our Data team, to derive actionable insights across Product, Marketing, Talent, RevOps and other cross-functional teams. This role will report to our Director, Data Science & Analytics. This is a high-impact role that will be instrumental in helping stakeholders gain accurate insights faster, reduce reporting overhead, and build the foundation for long-term data excellence. You will play a key role in defining KPIs that provide strategic alignment for the company and work on exciting projects like population health testing and impact evaluation to drive better long-term health outcomes for the country.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Build, own and manage key KPIs and dashboards, ensuring they are accurate, consistent, and governed, including end to end management of the lifecycle of an analytics project
• Be a thought partner on how to measure success across all aspects of Garner’s products
• Create scalable and maintainable data pipelines in collaboration with the data engineering team
• Develop a deep understanding of your analytical domain in order to independently drive and produce meaningful insights
• Identify gaps in current reporting coverage and proactively develop new dashboards and insights
• Maintain, troubleshoot, and continuously improve existing dashboards to meet evolving business needs
• Ensure consistent and reliable metrics definitions across teams
• Advocate for best practices in data visualization, documentation, and stakeholder communication

The ideal candidate has:

• 3+ years of experience in Data Analytics, Business Intelligence or a similar data-centric role
• Proven experience building and maintaining dashboards in tools like Looker, Tableau, Power BI, or similar tools
• Strong SQL skills and ability to work with large datasets
• Ability to work cross-functionally and translate ambiguous business questions into data-driven solutions
• Comfortable working independently and owning reporting projects end to end
• Attention to detail with a mindset for automation and scalability
• Familiarity with Google Sheets and a strong understanding of its limitations and strengths
• Bonus: Experience with dbt, Snowflake, or data engineering workflows
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $131,000 - $150,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are seeking an exceptional Senior Data Analyst to join our Search team. You will work on the core systems that power our product, including but not limited to provider directory and recommendations, A/B testing for engagement and healthcare outcomes, and product analytics. You’ll play a pivotal role in shaping how we use data to steer members to better healthcare outcomes, partnering with product managers and engineers to deliver high performing systems at scale. Garner’s member app guides members through their healthcare journey to ensure they receive high quality care while ensuring provider affordability and availability.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Develop, analyze, and report on product metrics and KPIs to internal teams and stakeholders
• Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends
• Own projects end to end including problem definition, implementation, validation, & iteration
• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Collaborate cross-functionally with data, product, engineering and operations teams  to shape how we define product and member engagement metrics, and model member behavior
• Synthesize and present your work to Garner leadership to drive company level decisions
• Contribute to improving data analytics practices, tooling, and documentation

The ideal candidate has:

• 3+ years of experience in business analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL to query, analyze, and manipulate data, including experience with one or more semantic technologies (dbt, Power BI, or similar)
• 2+ years of experience working with Business Intelligence and visualization tools including Looker, Power BI, Tableau etc. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively
• A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success, ideally in a startup environment
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $167,000 - $200,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are looking for a Staff Software Engineer to join our team and help us develop the core systems powering our clinical research. You will work closely with a talented product and data science team, stay up-to-date with the latest technologies, and contribute to a fast-paced, innovative environment. The ideal candidate for this role should be able to deliver across the tech stack and is eager to learn and apply new techniques and technologies.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Design and build extensible systems that can grow with the business needs
• Collaborate across disciplines to understand our domain and iterate on new ideas
• Lead technical strategy and decision-making
• Protect our users’ privacy and security through secure coding practices

What you will bring to the team:

• 7+ years hands-on work delivering full-stack software
• Excellent communication skills and ability to clearly communicate design rationale and concepts
• Familiarity with Python, React, NodeJS, Docker, and AWS
• Excellent understanding of SQL and data modeling
• Familiarity building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working in a team using agile methodologies and fluency with the agile toolkit
• Experience mentoring team members and acting as a technical multiplier
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $240,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You’ll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products.

You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality
• Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors
• Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates
• Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes
• Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data
• Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions
• Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science team

The ideal candidate has:

• 8+ years professional experience in data science, product analytics, and/or healthcare
• A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
• Strong Python and SQL skills
• Expertise in statistical modeling techniques and a track record of building impactful predictive models
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
• Experience working in a rapidly evolving startup environment.
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Python and Jupyter Notebooks, SQL (Snowflake), Argo, DBT, AWS, Terraform

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are seeking an exceptional Software Engineer II to join our Engineering team. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Use AI to build, optimize, and maintain software systems
• Collaborate across disciplines to understand our domain and iterate on projects
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 2+ years of software engineering experience, especially with distributed event-driven architectures
• A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment
• Familiarity with data security and HIPAA compliance
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $150,000 - $170,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. 

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / dbt

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

What you're great at:

• 4+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
• Cloud services providers like AWS
• Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
• Big data tools like Spark, Kafka, Snowflake, Databricks, etc
• Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
• Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You’ll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $180,000-$220,000, depending on levels of skills and experience.

This range represents the combined base salary and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

As a Staff Data Scientist, reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Customer Support, Finance, Go-To-Market, Marketing, Product, and Strategy teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.

We currently have multiple roles open across Flex Analytics and are prioritizing analyst support for Product, Partnerships and GTM domains.

What you’ll do

• Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
• Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
• Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
• Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
• Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
• Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization

Key qualifications

• 5+ years of experience using analytical and statistical methods to support and drive critical business outcomes
• Expert communicator who can break down complex technical concepts into simple business vernacular
• Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems
• Demonstrated success driving business strategy and outcomes from an analytics lens
• Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.)
• Experience with ETL processes, especially utilizing dbt and Snowflake
• Track record of using quantitative, analytical, and problem-solving skills to drive decisions
• Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon
• Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work

This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters. 
We also have offices in the Bay Area and Salt Lake City

Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 markets (NYC/ SF), the base salary pay range for this role is $155,000—$194,000 USD.

For all other U.S. locations, Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the Tier 1 states listed above, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location

About the role

As a Sr. Staff Data Scientist reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Product teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.

What you’ll do

• Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
• Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
• Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
• Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
• Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
• Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization

Key qualifications

• PhD, Masters, or Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)
• 8+ years of experience using analytical and statistical methods to support and drive critical business outcomes
• Expert communicator who can break down complex technical concepts into simple business vernacular
• Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems
• Demonstrated success driving business strategy and outcomes from an analytics lens
• Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.)
• Experience with ETL processes, especially utilizing dbt and Snowflake
• Track record of using quantitative, analytical, and problem-solving skills to drive decisions
• Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon
• Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work

This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters or Hybrid from our San Francisco office. 

Tier 1 markets (NYC/ SF), the base salary pay range for this role is $194,000-240,000 USD

As a Data Scientist, reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Go-To-Market, Marketing, Product, and Strategy teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.

We currently have multiple roles open across Flex Analytics and are prioritizing analyst support for Product, Partnerships and GTM domains.

What you’ll do

• Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
• Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
• Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
• Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
• Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
• Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization

Key qualifications

• 3+ years of experience using analytical and statistical methods to support and drive critical business outcomes
• Expert communicator who can break down complex technical concepts into simple business vernacular
• Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems
• Demonstrated success driving business strategy and outcomes from an analytics lens
• Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.)
• Experience with ETL processes, especially utilizing dbt and Snowflake
• Track record of using quantitative, analytical, and problem-solving skills to drive decisions
• Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon
• Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work

This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters. 
We also have offices in the Bay Area and Salt Lake City

For candidates located in our Tier 1 markets (NYC/ SF), the base salary pay range for this role is $133,500—$165,000 USD.

For all other U.S. locations, Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the Tier 1 states listed above, your starting pay will be adjusted to align with the market conditions of your specific geographic zone.

The Role

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

You Will:

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

You Have:

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

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

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

Offices

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

The Challenge

As a Senior Data Analyst at One Trust, you will play a strategic role in driving data-driven decision-making across the organization. While your impact may span multiple functions, you will work closely with the Marketing team to ensure analytics efforts align with key business objectives. You’ll be responsible for leading data preparation and transformation processes, ensuring that our data is clean, accurate, and ready for analysis. Your expertise in developing advanced Power BI dashboards and your ability to perform in-depth data analysis will support various business operations and help us stay ahead in a fast-paced environment. We are seeking a highly analytical and results-oriented analyst who excels in cross-functional collaboration, communicates with confidence, and leverages data to drive measurable business impact. 

Your Mission

• Develop and maintain advanced Power BI dashboards and reports that provide clear and actionable insights. 

• Partner with business leaders in product, finance, marketing, and/or customer experience to uncover insights and identify opportunities. 

• Conduct data preparation, transformation, and cleaning processes to ensure the integrity and readiness of data for analysis. 

• Apply advanced statistical techniques, including causal inference methods, to analyze complex datasets and derive actionable insights. 

• Ensure data accuracy and consistency across all reporting, maintaining high standards for data quality. 

• Translate data findings into clear and actionable recommendations for stakeholders through reports, presentations, and interactive dashboards. 

• Ensure adherence to best practices in data analysis and visualization. 

You Are

• Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.).  

• 5+ years of experience using analytical and statistical methods to support and drive critical business outcomes. 

• Demonstrated success in supporting and influencing business strategy from an analytics perspective. 

• Advanced experience with SQL – strong need for marketing analytics experience in a B2B environment.  

• Willingness to perform repetitive and/or tedious tasks relating to data transformation, QA, dashboard maintenance and more – ideally identifying ways to automate these tasks. 

• Some Power BI experience is preferred. 

• Strong quantitative, analytical, and problem-solving skills; must be very comfortable with data analysis and driving decision-making. 

• Effective communicator who can break down technical concepts into business vernacular. 

• A bias for action—willingness to build a prototype and improve based on learnings, without letting perfection be the enemy of progress. 

• Natural curiosity to dive into details with a strong analytical mindset. 

Extra Awesome 

• Marketing analytics experience in a SaaS industry. 

• Experience using Python for data analysis. 

• Experience using back-end data from Marketo or marketing attribution software. 

• Experience with ETL processes, especially utilizing DBT and Snowflake. 

• Graduate Degree with a quantitative focus. 

About the Role

As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World  Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem.

You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready.

This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on.

We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today.

Responsibilities

• Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer
• Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts
• Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns
• Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model
• Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule
• Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data
• Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader
• Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve
• Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices
• Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions
• Establish metrics that track progress, communicate priorities, and demonstrate business impact
• Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use

Requirements

• 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery
• Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams
• Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake
• Proficiency in Python (preferred) or another language strong enough to guide and review technical work
• Experience with workflow orchestration tools like Dagster, Airflow, or Prefect
• Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization
• Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns
• Track record of improving team processes, optimizing workflows, and delivering measurable impact
• Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals
• Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders
• Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions
• Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture
• This role requires 4 days per week in our NYC office (Flatiron District)

Nice to Haves

• Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST)
• Experience with AWS cloud technologies
• Experience working in a startup environment
• Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries
• Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data
• Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on
• Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safe

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the Role

The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization.

As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you.

Responsibilities

• Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance.
• Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution.
• Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage.
• Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers.
• Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team.
• Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable.
• Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement.
• Participate in our on-call rotation to ensure data availability and pipeline health.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience.
• 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role.
• Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering.
• Strong proficiency in Python, including experience with common data engineering libraries.
• Hands-on experience with a modern data stack
• Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly.
• Experience working with sensitive data in a regulated environment.
• You live within a 75-minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.

Nice to Haves

• Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus.
• Experience working with Analytics Engineering practices
• Previous healthcare technology experience
• Experience leveraging AI tools for development

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role

As a Staff Data Scientist - Growth and Marketing, you’ll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

Responsibilities

• Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making
• Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design
• Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity
• Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention)
• Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes
• Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach
• Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigor

Requirements

• 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams
• Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders
• Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.) 
• Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation
• Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)
• Excellent ability to communicate, collaborate, and influence business partners at all levels
• Bonus: Healthcare Experience, Start-up Experience
• Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes
• Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information 

The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid