Senior Data Engineer, Data Foundations

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $125k - $156.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• Design and build governed Data 360 data products integrating clinical, laboratory, operational, and commercial data • Define and maintain canonical definitions for core business metrics • Own foundational-layer architecture decisions, lead design reviews, and make build-vs-buy and technology decisions • Model structured, semi-structured, laboratory, genomic, third-party, and CRM data • Build semantic layers and certified trusted views for self-service analytics • Use Sigma to publish foundational datasets, governed metrics, and reusable workbook components • Build and maintain tested, documented dbt transformation pipelines on Snowflake • Write production-grade SQL and Python and contribute to shared frameworks, templates, and macros • Lead root-cause analysis of complex data issues and drive durable fixes • Establish standards for naming, modeling, testing, documentation, and certification • Implement data quality checks, data contracts, lineage, and monitoring • Ensure PHI and genomic data handling meets HIPAA, CLIA, security, and governance requirements • Validate every data product against source systems and known-good reports and document validation results • Use AI coding assistants and agentic tools across engineering workflows • Build governed data foundations for accurate and safe LLM and agent querying • Contribute to AI-enabled classification, extraction, retrieval, and agent-ready data products • Define team practices for prompts, agent workflows, AI-assisted testing, review, and compliance guardrails • Collaborate with product, lab operations, engineering, commercial, data platform, and AI platform teams • Mentor engineers through code review, pairing, and design feedback • Represent the team in architecture forums and data governance discussions

🎯 Requirements

• 6+ years of data or software engineering experience (Senior) or 9+ years (Staff) • Track record of designing and shipping production data models and pipelines at scale • Strong software engineering fundamentals: version control, testing, code review, CI/CD, modular design, and maintainable, well-documented code • Expert-level SQL and strong Python • Deep, hands-on experience with dbt or an equivalent transformation framework • Strong grounding in analytical data modeling and experience building semantic layers and governed metric definitions • Experience with a modern cloud data warehouse and cloud infrastructure; Snowflake/AWS preferred • Experience integrating relational, semi-structured, event, operational, and third-party data sources • Experience designing and executing data-product validation, automated tests, and domain-expert verification • Working knowledge of data governance: data contracts, lineage, cataloging, access control, data quality engineering, and trusted-dataset certification • Hands-on daily use of AI coding assistants and agentic tools • Practical experience with AI/LLM technologies, LLM frameworks, managed AI services, or preparing data for LLM and agent consumption • Ability to communicate clearly with technical and non-technical audiences and drive alignment in a matrixed environment • Preferred: Snowflake semantic views, Cortex Analyst, healthcare or life sciences, LIMS, bioinformatics, genomic data, workflow orchestration, Snowflake performance tuning, Terraform, data observability, Salesforce or EHR integrations, Sigma or comparable BI tools • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience is preferred

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents • Free testing for employees and immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Employee referral program

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