{"id":3771453,"url":"https://alion.io/job/natera-senior-data-engineer-data-foundations","title":"Senior Data Engineer, Data Foundations","company":{"id":3078,"name":"Natera","domain":"natera.com","url":"https://alion.io/company/natera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":39,"ghost_share":0.077,"stale_share":0.59,"repost_share":0.154,"time_to_fill_p50_days":40,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":125000,"max":156300,"currency":"USD","period":"year","gross":null,"usd_annual":156300},"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"HIPAA","optional":false},{"name":"LIMS","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Prometheus","optional":true}],"status":"closed","first_seen_at":"2026-11-04T19:47:41Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T13:12:55Z","board_verified":false,"closed_at":"2026-11-05T13:12:55Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nNatera is a global leader in cell-free DNA testing, serving patients across oncology, women's health, and organ health. Our Data & AI organization builds the enterprise data platform and AI systems that turn clinical, genomic, and operational data into products that improve patient care and accelerate the business.\nWe are looking for a Senior or Staff Data Engineer to join the Foundations team and build governed, trusted, reusable data products (Data 360s - e.g., Patient, Provider, Order, Clinical Result) that become the single source of truth for core business metrics across Natera. This is a hands-on, senior individual contributor role. You will write production code, make design decisions that shape how data is modeled and governed across domains, and set the engineering bar for the foundational layer that every downstream analytics, dashboard, and AI solution builds on.\nThe Foundations team is AI-native by design. We expect engineers to use AI coding harnesses and agentic tooling as a core part of how they design, build, test, document, and operate data products, and to help the team scale those practices. You will work in a regulated environment where data quality, lineage, and privacy are core requirements of everything we ship.\nThe ideal candidate is a strong software engineer first, with deep data modeling instincts, a passion for standards and governance, and the judgment to balance rigor with pragmatism. You'll work across engineering, lab operations, product, and commercial teams, so clear communication and the ability to drive alignment without direct authority matter as much as technical depth.\nKey Responsibilities\nFoundational Data Modeling & Architecture\nDesign and build the Data 360 data products: governed, well-documented, dimensional and domain-driven models that integrate clinical, laboratory, operational, and commercial data into consistent, trusted entities.\nDefine and maintain canonical definitions for core business metrics (e.g., volume, turnaround time, first-pass yield) so they are calculated once, certified, and reused everywhere.\nOwn design and architecture decisions for the foundational layer; lead design reviews and make build-vs-buy and technology decisions in partnership with the data platform and architecture teams.\nModel data across a wide range of sources and types, including structured relational data, semi-structured (JSON/event) data, lab and LIMS data, genomic and result data, and third-party and CRM data, and reconcile conflicting definitions and identifiers across systems.\nSemantic Layer & Trusted Views\nBuild and maintain semantic layers and certified, trusted views of core metrics that enable self-service analytics with consistent definitions.\nUse Sigma to publish foundational datasets, governed metrics, and reusable workbook components that business teams can build on with confidence.\nDesign data models with downstream consumption in mind: performance, discoverability, and ease of use for analysts, dashboards, and LLM-based querying.\nHands-On Data Engineering\nBuild and maintain scalable, tested, well-documented transformation pipelines in dbt on Snowflake, applying software engineering best practices: modularity, version control, code review, automated testing, and CI/CD.\nWrite production-grade SQL and Python; contribute to shared frameworks, templates, and macros that make it faster and easier for the whole team to deliver new data products consistently.\nLead root-cause analysis on complex data issues, such as metric discrepancies, event-definition mismatches, and upstream data gaps, and drive durable fixes rather than one-off patches.\nData Standards, Quality & Governance\nEstablish and enforce standards for naming, modeling, testing, documentation, and certification of data products.\nImplement data quality checks, data contracts, lineage, and monitoring so downstream consumers can trust the data by default.\nEnsure data handling of PHI and genomic data meets HIPAA, CLIA, and internal security and governance requirements, including access controls, masking and semantic tagging, auditability, and retention.\nPartner with governance, security, and data platform teams on metadata, cataloging, and discoverability.\nTreat validation as part of the definition of done. Validate every data product before release by reconciling to source systems, checking grain, uniqueness, and referential integrity, comparing metrics against existing or known-good reports, and confirming results with domain experts. Document the results so consumers know what has been verified.\nAI-Native Engineering\nUse AI coding assistants and agentic tools daily across design, coding, testing, documentation, and operations, and measurably increase your own and the team's throughput.\nBuild the data foundations that make AI work: well-modeled, well-described, governed data and semantic context that LLMs and agents can query accurately and safely.\nContribute to AI-enabled solutions where they fit, such as LLM-assisted classification or extraction, retrieval over curated data, and agent-ready data products.\nHelp define team practices for prompt and context patterns, reusable agent workflows, AI-assisted testing and review, and the guardrails that keep quality and compliance intact.\nCollaboration & Technical Influence\nWork directly with product managers, lab operations, engineering, and commercial stakeholders to understand their questions and translate them into well-scoped, reusable data products.\nCollaborate with the data platform and AI platform teams so solutions build on shared foundations rather than one-off pipelines.\nMentor other engineers through code review, pairing, and design feedback; represent the team in architecture forums and data governance discussions.\nQualifications\nRequired\n6+ years of data or software engineering experience (Senior) or 9+ years (Staff), with a track record of designing and shipping production data models and pipelines at scale.\nStrong software engineering fundamentals: version control, testing, code review, CI/CD, modular design, and maintainable, well-documented code.\nExpert-level SQL and strong Python.\nDeep, hands-on experience with dbt (or an equivalent transformation framework), including testing, documentation, macros, and project structure for large, multi-domain projects.\nStrong grounding in analytical data modeling (dimensional and/or domain-driven design) and experience building semantic layers and governed metric definitions.\nExperience with a modern cloud data warehouse and cloud infrastructure (Snowflake/AWS preferred).\nExperience integrating a wide variety of data types and sources (relational, semi-structured, event, operational, and third-party), and defining and applying data standards across them.\nExperience designing and executing validation for data products, including reconciling to source systems, building automated tests, and partnering with domain experts to confirm that metrics match business reality.\nWorking knowledge of data governance practices: data contracts, lineage, cataloging, access control, data quality engineering, and certification of trusted datasets.\nHands-on use of AI coding assistants and agentic tools in daily engineering work, with a point of view on how to use them well.\nPractical experience with AI/LLM technologies, such as building with LLM frameworks or managed AI services (e.g., Snowflake Cortex, AWS Bedrock), or preparing and structuring data for LLM and agent consumption.\nAbility to communicate clearly with technical and non-technical audiences and drive alignment in a matrixed environment.\nPreferred\nExperience with Snowflake semantic views, Cortex Analyst, or other approaches to semantic modeling for natural-language querying.\nExperience in healthcare, life sciences, or another regulated domain handling PHI or other sensitive data.\nExperience with lab information systems, LIMS, bioinformatics pipelines, or genomic data.\nExperience with workflow orchestration (Airflow, Dagster, Prefect, or similar).\nExperience with Snowflake performance tuning, cost management, and features such as dynamic tables, Snowpark, and dynamic data masking.\nExperience with infrastructure-as-code (Terraform) and data observability tooling.\nExperience integrating with Salesforce or EHR data sources.\nExperience with Sigma, or comparable BI and semantic-layer tools (Looker, Tableau, Power BI), particularly for publishing certified datasets and governed metrics for self-service use.\nBachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.\nThe pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.\nRemote USA\n$125,000—$156,300 USD\nOUR OPPORTUNITY\nNatera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.\nThe Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.\nWHAT WE OFFER\nCompetitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!\nFor more information, visit www.natera.com.\nNatera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.\nAll qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.\nIf you are based in California, we encourage you to read this important information for California residents. \nLink: https://www.natera.com/notice-of-data-collection-california-residents/\nPlease be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.\nFor more information:\n- BBB announcement on job scams \n- FBI Cyber Crime resource page","description_format":"text","description_chars":11859,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Diagnostic Tests & IVD","Genomics & Genetic Testing","Precision Medicine"],"lifecycle":[{"event":"open","at":"2026-11-04T21:42:14Z"},{"event":"close","at":"2026-11-05T13:12:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 74 · green card filings: 31","filings_12m":74,"filings_prev_12m":77,"green_card_filings_12m":31,"median_offered_wage_usd":134690,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":19}],"liveness":null,"pay":{"stated_usd_annual":156300,"is_top_pay":true},"html_url":"https://alion.io/job/natera-senior-data-engineer-data-foundations","json_url":"https://alion.io/job/natera-senior-data-engineer-data-foundations.json","meta":{"generated_at":"2026-11-07T13:17:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15838,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3078},"rest":"https://alion.io/mcp/rest/get_company?id=3078"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnatera-senior-data-engineer-data-foundations"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnatera-senior-data-engineer-data-foundations"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnatera-senior-data-engineer-data-foundations"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/natera-senior-data-engineer-data-foundations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnatera-senior-data-engineer-data-foundations"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3771453}},{"tool":"search_jobs","arguments":{"company":"natera.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3771453},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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