Cast a wider net — 10x your job applications¹

Data Architect Location: Remote (St Louis, MO) Type: Full-Time About Human Agency We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity We’re seeking a Data Architect to design modern, AI-ready data architectures across multiple client engagements. This role sits at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement . You’ll architect systems that make data reliable, reusable, and production-ready for business intelligence, machine learning, and artificial intelligence. You should be equally comfortable designing the data backbone for AI-driven products, writing SQL or Python to unblock a model pipeline, or guiding teams through tradeoffs between flexibility, cost, and responsible automation. Key Responsibilities Data Modeling & Architecture Design and implement end-to-end data architectures in Snowflake — from raw ingestion through staging, fact/dimension modeling, and semantic layer design. Define data models that balance flexibility for analysts with performance and scalability for production. Partner with engineering teams to integrate data from source applications and operational systems. Establish versioned modeling standards and documentation to ensure consistency across domains. Semantic Layer & Metric Governance Build or refine semantic layers that unify metric definitions across BI tools like Tableau, Power BI, or Looker. Collaborate with business owners to define KPIs, approve new metrics, and monitor adoption. Implement versioned datasets and definitions to support reliable analytics and reporting. Feature Store & ML Readiness Architect feature pipelines and data contracts that support point-in-time correctness for machine learning models. Collaborate with data scientists and AI engineers to implement reusable feature stores for both training (offline) and deployment (online) use. Monitor data quality and prevent data leakage that could affect model performance. Support event-driven architectures that bridge predictive models with operational systems. AI & Agentic Workflow Enablement Partner with AI teams to integrate structured and unstructured data into generative and agentic workflows (e.g., RAG, copilots, automated evaluation agents). Design APIs or event structures that serve predictions and triggers in near real time. Measure adoption and value of AI-driven workflows through data instrumentation. Qualifications Required 7+ years in data engineering/analytics engineering with ownership of production pipelines and BI at scale. Demonstrated success owning and stabilizing production data platforms and critical pipelines. Strong grasp of modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent). Competence with data integration (ELT/ETL), APIs, cloud storage, and SQL performance tuning. Practical data reliability experience: observability, lineage, testing, and change management. Operates effectively in ambiguous, partially documented environments; creates order quickly through documentation and standards. Prior ownership of core operations and reliability for business-critical pipelines with defined SLOs and incident response. Demonstrated client-facing experience (consulting/agency or internal platform teams with cross-functional stakeholders) and outstanding written/verbal communication (executive briefings, workshops, decision memos). Preferred Deep interest in Generative AI and Machine Learning. Basic scripting ability in Python. Practical Generative AI experience: shipped at least one end-to-end workflow (e.g., RAG) including ingestion, embeddings, retrieval, generation, and evaluation. Working knowledge of LLM behavior (tokens, context windows, temperature/top-p, few-shot/tool use) and how to tune for quality/cost/latency. Comfort with vector search (e.g., pgvector or a hosted vector store) and hybrid retrieval patterns. Evaluation & safety basics: offline evaluation harnesses, lightweight online A/B tests, and guardrails for PII and prompt-injection. MLOps for LLMs: experiment tracking, versioning of prompts/configs, CI/CD for data & retrieval graphs, and production monitoring (latency, cost, drift). Python scripting for data/LLM utilities and service integration (APIs, batching, retries). Familiarity with BI tools (Power BI/Tableau) and semantic layer design. Exposure to streaming, reverse ETL, and basic MDM/reference data management. Security & governance awareness (role‑based access, least privilege, data retention). Considerations Education: Bachelor’s degree or equivalent experience. Ethics: Commitment to ethical practices and responsible AI. Travel: Occasional (10–30%) for client activities and events. Location: Remote-friendly with preference for candidates in St. Louis, MO and major tech hubs Compensation This role offers a competitive base salary with performance-based bonuses. Final compensation will vary based on experience, performance, and location. Why Work With Human Agency Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Data Architect Location: Remote (Chicago, IL) Type: Full-Time About Human Agency We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity We’re seeking a Data Architect to design modern, AI-ready data architectures across multiple client engagements. This role sits at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement . You’ll architect systems that make data reliable, reusable, and production-ready for business intelligence, machine learning, and artificial intelligence. You should be equally comfortable designing the data backbone for AI-driven products, writing SQL or Python to unblock a model pipeline, or guiding teams through tradeoffs between flexibility, cost, and responsible automation. Key Responsibilities Data Modeling & Architecture Design and implement end-to-end data architectures in Snowflake — from raw ingestion through staging, fact/dimension modeling, and semantic layer design. Define data models that balance flexibility for analysts with performance and scalability for production. Partner with engineering teams to integrate data from source applications and operational systems. Establish versioned modeling standards and documentation to ensure consistency across domains. Semantic Layer & Metric Governance Build or refine semantic layers that unify metric definitions across BI tools like Tableau, Power BI, or Looker. Collaborate with business owners to define KPIs, approve new metrics, and monitor adoption. Implement versioned datasets and definitions to support reliable analytics and reporting. Feature Store & ML Readiness Architect feature pipelines and data contracts that support point-in-time correctness for machine learning models. Collaborate with data scientists and AI engineers to implement reusable feature stores for both training (offline) and deployment (online) use. Monitor data quality and prevent data leakage that could affect model performance. Support event-driven architectures that bridge predictive models with operational systems. AI & Agentic Workflow Enablement Partner with AI teams to integrate structured and unstructured data into generative and agentic workflows (e.g., RAG, copilots, automated evaluation agents). Design APIs or event structures that serve predictions and triggers in near real time. Measure adoption and value of AI-driven workflows through data instrumentation. Qualifications Required 7+ years in data engineering/analytics engineering with ownership of production pipelines and BI at scale. Demonstrated success owning and stabilizing production data platforms and critical pipelines. Strong grasp of modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent). Competence with data integration (ELT/ETL), APIs, cloud storage, and SQL performance tuning. Practical data reliability experience: observability, lineage, testing, and change management. Operates effectively in ambiguous, partially documented environments; creates order quickly through documentation and standards. Prior ownership of core operations and reliability for business-critical pipelines with defined SLOs and incident response. Demonstrated client-facing experience (consulting/agency or internal platform teams with cross-functional stakeholders) and outstanding written/verbal communication (executive briefings, workshops, decision memos). Preferred Deep interest in Generative AI and Machine Learning. Basic scripting ability in Python. Practical Generative AI experience: shipped at least one end-to-end workflow (e.g., RAG) including ingestion, embeddings, retrieval, generation, and evaluation. Working knowledge of LLM behavior (tokens, context windows, temperature/top-p, few-shot/tool use) and how to tune for quality/cost/latency. Comfort with vector search (e.g., pgvector or a hosted vector store) and hybrid retrieval patterns. Evaluation & safety basics: offline evaluation harnesses, lightweight online A/B tests, and guardrails for PII and prompt-injection. MLOps for LLMs: experiment tracking, versioning of prompts/configs, CI/CD for data & retrieval graphs, and production monitoring (latency, cost, drift). Python scripting for data/LLM utilities and service integration (APIs, batching, retries). Familiarity with BI tools (Power BI/Tableau) and semantic layer design. Exposure to streaming, reverse ETL, and basic MDM/reference data management. Security & governance awareness (role‑based access, least privilege, data retention). Considerations Education: Bachelor’s degree or equivalent experience. Ethics: Commitment to ethical practices and responsible AI. Travel: Occasional (10–30%) for client activities and events. Location: Remote-friendly with preference for candidates in St. Louis, MO and major tech hubs Compensation This role offers a competitive base salary with performance-based bonuses. Final compensation will vary based on experience, performance, and location. Why Work With Human Agency Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Our Mission & Culture At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact. We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights. This role offers a unique opportunity to join a data engineering team to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. What You'll Own and Deliver (Responsibilities) As a core member of our data engineering team, you will design, build, and scale the services that power Xealth’s Analytics and Reporting Capabilities. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines. Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads. Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks. Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments. Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency. Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability. Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team. Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery. The Expertise You'll Bring (Requirements) We’re looking for a data engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare. Core Technical Competencies: Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems. CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets. Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics. Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro. Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines. API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow. Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes. Highly Valued Experience (Nice to Have) Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health. Visualization: Experience building dashboards and visualizations to communicate data insights effectively About Xealth Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation. Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023. We’re looking for a data engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare. Compensation & Benefits: Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $155,000 - $225,000, depending on geographic market. Paid parental leave. Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs. Xealth provides your laptop and offers a home office stipend. Generous learning & development opportunities for you to grow your skills and career. 401k Match: Xealth offers a dollar-for-dollar match up to 3%. Flexible time off & 10 standardized holidays. $500 yearly fitness stipend to spend on staying active. Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Blend is a diverse team of problem solvers who believe that the world’s financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters. At Blend, we’re building a culture that feels energizing to be part of every day, where people choose to show up not just for work, but for each other. Our Raleigh office is a space where diverse perspectives are celebrated, collaboration comes naturally, and momentum is contagious. We bring people together often - whether to share ideas, celebrate wins, or simply connect - and we extend that connection beyond the office through thoughtfully planned team outings and social gatherings that help our community grow stronger. Because we believe that strong teams fuel great innovation, we invest in experiences that make working together both meaningful and enjoyable. If you thrive in an environment that’s inclusive, dynamic, and full of genuine human connection, you’ll feel right at home here. The Customer Success Manager is a key part of our Go to Market account team, working closely with customers, Account Executives, and Solutions Engineers to innovate the lending processes of independent mortgage banks and builders in the world. A Customer Success Manager’s key responsibility is to understand the business value that customers are looking to achieve with Blend, provide insight into the KPIs and other metrics that drive this value, and recommend features or changes to unlock value. As an example, customers are often looking to increase conversion rates in their lending funnel (from prospect to completed loans). The CSM deeply understands these metrics and can recommend features and optimizations in the Blend platform to better achieve them for each customer. The CSM does this through regular touch points with the customer and their teams that use Blend, and through extensive engagement with their counterparts in the account team. Outside of this primary responsibility, the CSM also provides customers with information about new features, release notes, support ticket trends, and other information that helps customers understand the value they get from Blend. The CSM ultimately plays a key role in creating raving fans of Blend, explaining the value that customers get from our world class originations platform, and helping customers get the most out of the available technology. Please note we are only considering candidates that can work out of our North Hills office 4x a week in Raleigh, NC How you'll contribute: Understand the key business goals of customers using Blend the metrics that are being used to track our mutual success. Regularly share the success metrics with leadership at our customers and recommend features or changes in the technology or business processes to improve the metrics. Help customers understand new features or release changes that present opportunities for them to improve operations or customer experience. Recap other engagements with Blend (e.g., Support or ongoing deployments) to ensure customer executives have a full understand of how they are getting value from Blend and where we can mutually work together to increase this value. Build trusted relationships with our customers where we can talk directly about how to drive success quickly. Support the Blend account team to identify and open up new growth opportunities at our existing customers. Who you are: 5+ years of relevant customer-facing experience at a either a consumption based SaaS company, management consulting firm, or at an lending industry company (e.g., Mortgage company). Technical aptitude with the ability to develop a deep understanding of the Blend product, mortgage market and our customers' needs. Ability to understand KPIs, investigate root causes for issues, and develop a compelling solution for the customer. Strong ability to articulate contractual, technical, and financial value points to customers, including executive leaders. Outstanding communication and presentation skills with ability to develop trusted relationships with C-level executives. At Blend, we are committed to offering a competitive compensation package. To comply with local legislation, as well as to provide greater transparency to candidates, we share base pay ranges on all job postings regardless of desired hiring location. Final base pay offer amounts will vary depending on multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience. Beyond base pay, Blends benefits and perks are described below. Compensation: Base Salary Range: $103,000 – $121,000 (This applies to full time hires. Final offer determined by multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience.) Bonus (if applicable): Eligibility is contingent upon both company performance against established goals and achievement of individual performance objectives. Equity : Meaningful Restricted Stock Units in public company stock (NYSE: BLND) so you share in Blend’s long-term growth and success. Our Benefits at a Glance We offer a comprehensive and competitive benefits package designed to support your health and work-life balance. Health & Wellbeing We offer medical, dental, and vision benefits, with a generous employer contribution that helps keep your medical insurance costs low. Company-paid life, short-term, and long-term disability coverage Generous PTO, holidays, and maternity/parental leave Employee Assistance Program (EAP): mental health, legal, childcare & eldercare, financial planning, college search, and more Voluntary benefits: accident, critical illness, hospital indemnity, identity theft, and legal insurance Monthly wellness stipend for fitness, mental health, and well-being Additional perks: Milk Stork, pet insurance, and paid volunteer time off Growth & Future 401(k) retirement plan with company match Pre-tax savings: healthcare & dependent care FSAs, Limited Purpose FSA, and HSA

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Governance team’s mission is to protect and responsibly manage customer data across Robinhood, ensuring trust, transparency, and compliance in every data flow. We enable safe and compliant use of data across AI/ML systems and core infrastructure, embedding privacy and governance into how products are built. As regulatory expectations evolve and AI innovation accelerates, the team plays a critical role in advancing Robinhood’s responsible AI roadmap and supporting global growth. As a Software Engineer on this team, you’ll develop backend systems that monitor and govern how data is used across our platform. You’ll work on high-impact initiatives like GDPR readiness, AI/ML governance, and cross-functional enforcement of data compliance. This is a critical role, enabling safe AI innovation at Robinhood! This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design and build backend services and automation frameworks that instrument, govern, and enforce data usage, retention, and access policies across Robinhood’s online and analytical systems. Partner with AI/ML, Risk, and Privacy teams to operationalize governance and compliance in emerging AI systems, including ML Models and Agentic AI workflows Enable governance Robinhood’s offline analytical systems and new data infrastructure workflows Build internal tools and automation that strengthen our enterprise data governance posture by enabling auditability, data integrity, and privacy respecting design across our infrastructure Own end-to-end delivery of governance solutions from design and prototyping to production deployment driving measurable impact in data reliability, compliance readiness, and trust What you bring Strong coding and problem-solving skills with proficiency in Python or Go (or similar languages) Experience with server-side frameworks such as Django or GoLang Familiarity with Kubernetes, AWS, and cloud-native development Excellent communication skills with a proven ability to work cross-functionally Curiosity and drive to navigate complex systems, regulatory requirements, and fast-changing technology What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $157,000 — $185,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $139,000 — $163,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $122,000 — $144,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come. The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. What you’ll do Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow. Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake. Partner with upstream engineering teams to enhance data generation patterns. Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models. Ideate and contribute to shared data engineering tooling and standards. Define and promote data engineering best practices across the company. What you bring 5+ years of professional experience building end-to-end data pipelines Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation). Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc) Strong SQL (Presto, Spark SQL, etc) skills. Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms) Expert collaborator with the ability to democratize data through actionable insights and solutions. What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $198,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $174,600 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $154,800 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE . Position Overview We are seeking a Data Scientist – Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem , analyzing high-velocity data streams generated by tens of millions of daily active users . You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You’ll partner closely with research scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth. This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization. Key Responsibilities Analytics, Monitoring & Tooling Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance. Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis.. Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends. Insights Discovery & Model Evaluation Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities. Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives. Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health. Experimentation & Measurement Assist in designing A/B tests, computing key metrics, and interpreting results. Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making. Cross-Functional Collaboration Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics. Work with product and business teams to understand analytical needs and translate them into actionable solutions. Minimum Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline. Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis 0–3 years of experience in data analytics or data science (internships or projects count).Proficiency with SQL and at least one analytical programming language (Python preferred). Ability to work with large datasets and translate findings into actionable recommendations. Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences. Curious, proactive mindset with a desire to learn quickly and contribute meaningfully. Preferred Qualifications Master’s degree in Data Science or a related quantitative discipline. Experience with BI tools such as Looker, Tableau, Superset, Metabase, or similar. Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow. Exposure to A/B testing, experiment design, or statistical evaluation. Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics. Experience collaborating with cross-functional teams (engineering, product, business). What You’ll Gain Hands-on experience with real production analytics, monitoring systems, and model evaluation. Opportunities to build foundational infrastructure that scales across teams. Exposure to high-scale data challenges and real-world ML performance considerations. A meaningful role in driving insights that inform product and business strategy. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $124,000 — $186,000 USD AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team’s work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evaluate current experimentation practices across Robinhood and identify areas for improvement. Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques. Partner with engineering to build scalable tools and infrastructure for experimentation. Develop and evangelize best practices for experimentation across cross-functional teams. Consult with data science and product teams to ensure rigorous experimental design and interpretation. Contribute to roadmap planning by identifying high-leverage opportunities for platform development. What you bring Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences). 3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment. Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques. Proficiency in Python or R for data analysis and experimentation workflows. Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving. Experience contributing to or building experimentation tooling is a plus. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance. As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design and deploy fraud detection models to protect Robinhood users and assets in real time Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability Partner with engineering and product teams to implement safeguards and user-facing features Guide experimentation strategy and contribute to long-term fraud prevention roadmap What you bring 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing Excellent communication skills and ability to influence decision-making across technical and non-technical audiences A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.