This page tracks remote data engineer openings that are location-eligible for Texas.
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• Own the blueprint for the next-generation Jellyfish data platform. • Design and automate strict, code-driven environment isolation boundaries. • Modernize workflow orchestration and distributed compute engines. • Partner with application teams to ensure secure, cached API layers. • Build and maintain granular data-quality monitors and cost-allocation frameworks.
• Write clean, modular Python and optimized SQL for data transformations. • Manage and tune workflow orchestration engines (like Prefect or Dagster). • Use Terraform for infrastructure deployment and management. • Collaborate with developers for API and caching integration. • Participate in incident response rotation for pipeline issues.
• Maintain end-to-end data pipelines using Python and SQL. • Migrate, optimize, and maintain workflow orchestration engines. • Build the "paved road" for data deployments using Terraform. • Collaborate with product developers for API and caching integration. • Participate in data platform's incident response rotation.
We're unlocking the power of data to help create a better tomorrow.
• Lead the integration of customer data across web analytics, CRM, marketing automation and related platforms • Architect and manage the migration from Adobe Analytics to CJA, ensuring seamless data flow and reporting • Collaborate with Adobe and team members to establish and improve our AEP foundation • Build a marketing attribution model using AEP and CJA insights • Guide communication between business and technical teams, translating requirements into data solutions • Help develop data engineering pipelines to transform and analyze marketing and customer data • Analyze web and marketing performance data to create applicable insights on customer behavior, campaign effectiveness, and conversion optimization • Provide guidance on best practices for data governance, privacy, and tagging architecture • Contribute to the creation of dashboards and reports using tools like Tableau, Power BI, and Alteryx
We're unlocking the power of data to help create a better tomorrow.
• Lead the integration of customer data across web analytics, CRM, marketing automation and related platforms. • Architect and manage the migration from Adobe Analytics to CJA, ensuring seamless data flow and reporting. • Collaborate with Adobe and team members to establish and improve our AEP foundation. • Build a marketing attribution model using AEP and CJA insights. • Guide communication between business and technical teams, translating requirements into data solutions. • Help develop data engineering pipelines to transform and analyze marketing and customer data. • Analyze web and marketing performance data to create applicable insights on customer behavior, campaign effectiveness, and conversion optimization. • Provide guidance on best practices for data governance, privacy, and tagging architecture. • Contribute to the creation of dashboards and reports using tools like Tableau, Power BI, and Alteryx.
• Ingest and process data from Salesforce, Dynamics 365 & Coupa, Workday, and external program/partner data • Build and maintain pipelines in Databricks, DBT, and Snowflake • Design simple, reusable data models • Implement data quality tests, documentation, and lineage in DBT • Ensure performance optimization, cost efficiency, and compliance with governance standards • Collaborate with Knowledge Management team to provide feature ready datasets.
Turnkey flexible digital product teams for fast growing e-commerce brands with annual revenue of $25MM-$500
• Design, build, and maintain scalable data pipelines using BigQuery and dbt • Architect and optimize warehouse-first data models to support analytics, marketing, and operational reporting • Develop and maintain Looker dashboards and semantic layers • Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns) and 3PL systems (e.g., ShipHero, ShipBob, etc.) • Build automated workflows for data ingestion, validation, and monitoring • Implement best practices for data quality, governance, and documentation • Leverage AI tools (LLMs, automation frameworks) to: Accelerate data transformation workflows Refactor and optimize SQL/dbt models Automate anomaly detection and QA processes • Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions • Troubleshoot data discrepancies and provide root-cause analysis • Recommend architectural improvements to improve performance, reliability, and scalability
Cedar is the AI-powered healthcare financial experience platform, built for the rising cost and complexity of healthcare payments. We help millions of people every year understand and resolve their medical bills with clarity and compassion, while helping healthcare organizations operate more efficiently. We’re combining AI, smart design, and empathy to fix one of healthcare’s most urgent crises.
Role Description Cedar is at a pivotal moment in its technical evolution. We are evolving towards a brand-new, enterprise data platform and model, architected specifically to power the future of Cedar’s product offerings. As the Principal Data Architect, you will be the senior technical authority leading this transition, ensuring our new data foundation is clean, scalable, and cleanly separated from legacy debt. This is a hands-on technical leadership role for an engineer who loves building production systems at scale and views AI as a massive accelerator for both personal and team productivity. What You’ll Do - Architect the Future-State Data Model & Storage: Lead the design and execution of a new, high-scale data model and storage architecture that lives outside our legacy monolith. - Ensure Metrics Reliability: Own the accuracy and reliability of Cedar’s core business metrics including collection rate, days in AR, and invoice balance tracking. - Power Intelligent Agents: Build the real-time data foundations that power Cedar’s AI-driven products. - Design for the Future: Design data models for new product lines that expand Cedar’s presence across the full revenue cycle. - Build Production Code: Write, ship, and maintain high-quality production code alongside our team of Data Engineers. - Guide and Mentor Engineers: Act as the technical role model for a team of Data Engineers. - Collaborate: Drive technical alignment across data engineering, platform, and product teams. - Steward Data Integrity: Define and enforce standards for Cedar's enterprise Data Dictionary and metadata strategy. Qualifications - 10+ years of experience in data engineering and backend systems at scale. - Experience leading large technical projects with a high accountability mentality. - Deep, hands-on proficiency with a wide range of data and engineering technologies and patterns. - Experience building "source of truth" systems and a passion for data accuracy. - Experience building data APIs, context systems, or feature stores that power downstream ML/AI applications. - Ability to spot over-engineering and under-engineering with equal confidence. - Clear communication skills to translate complex technical risks and trade-offs into business-relevant terms. - Avid learner and adopter of AI engineering tools. - Demonstrable understanding of healthcare concepts, including revenue cycle management (RCM), billing, and insurance adjudication (highly preferred). Requirements - Experience with technologies such as Snowflake, dbt, Liquibase, Fivetran, Airflow, OpenMetadata, Kafka, SQL, Python, and real-time data processing. - Experience with building production-grade ELT/ETL pipelines and managing complex data transformations in cloud-first environments. - Experience with data validation and reconciliation, comparing pipeline output against source systems. Benefits - Salary/Hourly Rate Range: $246,500 - $311,750. - This role is equity eligible. - This role offers a competitive benefits and wellness package. - Unlimited PTO for vacation, sick, and mental health days. - 16 weeks paid parental leave with health benefits for all parents. - Diversity initiatives that encourage Cedarians to bring their whole selves to work. - Competitive pay, equity (for qualifying roles), and health benefits. - Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation. - Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources.
The leading provider of digital identity verification and fraud solutions. Salesinfo@socure.com
Role Description Socure sits on one of the most consequential datasets in the world — a global identity graph spanning hundreds of millions of identities, incorporating PII, device signals, behavioral telemetry, network relationships, and a continuous feedback loop of real-world fraud and verification outcomes across thousands of clients. The patterns inside this graph tell the story of how fraud evolves: who the adversaries are, how they adapt, and where they're going next. We are not looking for someone to report what happened. We are looking for someone who can explain why it happened, predict what comes next, and make that story impossible to ignore — for regulators, customers, boards, and the market. This person will sit directly at the intersection of rigorous research, macroeconomic and regulatory intelligence, and the richest identity dataset in the industry. What You'll Do - Own the Research Agenda: - Bring the rigor of an applied economist to fraud — proper identification strategies, causal inference, and natural experiments. - Design studies and analytical frameworks that produce findings you can stand behind publicly. - Answer questions like: What drove the surge in synthetic identity fraud post-CARES Act? How do adversarial networks respond to model updates? What are the second-order effects of regulatory changes on fraud displacement across verticals? - Turn the Identity Graph Into Intelligence: - Work across Socure's global identity graph to surface fraud rings, adversarial coalitions, emerging attack typologies, and behavioral shifts before they become industry crises. - Extract insights from the full identity stack: PII, device intelligence, email/phone/network signals, behavioral biometrics, and the longitudinal performance feedback flowing back from Socure's clients. - Bridge the Outside World to Internal Models: - Serve as the connective tissue between external signals — regulatory guidance, legislative changes, CFPB and FinCEN trends, macroeconomic shifts that alter fraud incentives, emerging typologies from industry consortia — and Socure's internal research, modeling, and product roadmaps. - When a new regulation drops or a fraud pattern surfaces in the press, you already have the data story and the analysis ready. - Tell Stories That Change Minds: - Transform complex multivariate findings into white papers that get cited, presentations that land at Money20/20, regulatory briefings that shape policy, and customer insights that create competitive advantage. - Your audience ranges from a CRO at a top-5 bank to a Congressional staffer to a Socure ML engineer, and you'll adjust register without losing substance. - Build & Lead a World-Class Team: - Recruit, mentor, and develop a team of researchers, data scientists, and analysts who share your appetite for rigor and storytelling. - Create a culture where intellectual curiosity, methodological discipline, and external credibility are the standard. - Influence Product, Models & Strategy: - Build tight feedback loops with Socure's modeling, product, and engineering organizations so that what you learn in the data becomes new signals, smarter models, better products, and stronger go-to-market positioning. - You will have a direct line into the strategic roadmap and report directly to the Chief AI & Innovation Officer. - Represent Socure Externally: - Speak at industry conferences, engage regulatory working groups, author market-facing research, and participate in customer and partner forums. - Your external credibility is a strategic asset — you invest in it and it compounds for Socure. - Drive Go-to-Market Differentiation: - Collaborate with Marketing and Growth to develop research-backed thought leadership that strengthens Socure's brand recognition, supports pipeline generation, and reinforces market leadership. - Your insights become a competitive moat. Qualifications - Research Depth & Econometric Rigor. - Deep Fraud Domain Expertise. - Data Fluency at Scale. - External Credibility & Presence. - Executive Communication Without Dumbing It Down. - Regulatory & Macro-Intelligence Fluency. Requirements - Advanced degree (MS or PhD strongly preferred) in Economics, Statistics, Econometrics, Applied Mathematics, Computer Science, or a related quantitative field. - 10+ years of applied experience in data science, fraud analytics, risk research, or quantitative economics, with demonstrable impact at scale. - Proven expertise in fraud, identity risk, financial crime, or adjacent domains. - Strong command of causal inference, statistical modeling, and modern ML/AI techniques applied to adversarial or risk problems. - Track record of external thought leadership — publications, conference presentations, regulatory engagement, or equivalent market-facing credibility. - Exceptional written and verbal communication skills; ability to author compelling, rigorous, market-facing research. - Experience leading and developing high-performing technical teams. Preferred Qualifications - Experience with graph-based analytics, identity network modeling, or fraud ring detection using Neo4j, AWS Neptune, or custom graph frameworks. - Familiarity with the regulatory landscape governing identity verification, fraud prevention, and consumer financial protection (CFPB, FinCEN, OCC, state AGs). - Experience with device intelligence, behavioral biometrics, email/phone/IP signals, or browser fingerprinting in a fraud context. - Published research or white papers in peer-reviewed journals, industry publications, or prominent market forums. - Experience working in or alongside financial services, fintech, credit bureaus, payments networks, or fraud consortia. - Exposure to explainable AI, model governance, or adverse action frameworks relevant to consumer-facing decisioning. Reports to: Chief AI & Innovation Officer Required Location: SF, NY, Seattle, or Miami Please note that we cannot provide sponsorship now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
• Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python. • Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data. • Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes. • Model business data in dbt and Omni — building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on. • Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR). • Prototype and ship internal tools end-to-end — backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) — for AI-prioritized daily workflows. • Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them. • Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions. • Stay current on advances in agentic AI, retrieval, evals, and the modern data stack — and bring useful ideas back to the team.
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SQL, Python, Airflow, BigQuery, Terraform, Tableau
