Senior Forward Deployed Data Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $125k - $156.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Natera's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of Natera

Natera

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

• Embed with business stakeholders to understand data and AI requirements and serve as their primary technical advisor and engineer • Run launch discovery and impact analysis for new assays or products, documenting findings in Confluence and Jira • Translate business challenges into technical specifications and deliverable milestones • Follow engineering standards for pipeline design, data modeling, testing, Git/GitLab branching, merge requests, pull requests, and CI/CD • Design, build, and maintain scalable data pipelines and transformations on the cloud data platform • Develop governed data models and semantic layers for self-service analytics, dashboards, and data products • Develop AI solutions using agentic workflows, retrieval/RAG, and LLM pipelines for extraction and classification • Write production-grade SQL and Python and contribute to shared frameworks, templates, and tooling • Lead root-cause analysis and durable fixes for complex data issues • Use AI coding assistants and agentic tools throughout the software development lifecycle • Apply prompt engineering, agentic workflows, and automated testing • Collaborate through code reviews, technical sharing, and feedback • Implement data quality checks, contracts, lineage, and monitoring • Own SLAs, incident response, and compute/storage cost efficiency • Ensure PHI and genomic-data pipelines meet HIPAA, CLIA, security, governance, access-control, auditability, and retention requirements • Partner with business, platform, and AI teams and represent the team in architecture, governance, and tool-evaluation forums

🎯 Requirements

• 7+ years of data or software engineering experience, including forward-deployed or customer-facing engineering roles delivering analytics and AI solutions directly to stakeholders • Ability to partner with non-technical business partners, translate technical concepts clearly, and manage project deliverables • Hands-on use of AI coding assistants and agentic tools in daily engineering work • Expert-level SQL and strong Python, with experience shipping and operating production data pipelines and data models at scale • Deep experience with a modern cloud data warehouse and cloud infrastructure; Snowflake/AWS preferred • Hands-on experience with transformation frameworks such as dbt or equivalent • Experience with workflow orchestration such as Airflow, Dagster, Prefect, or similar • 1–2 years of practical experience building with LLM frameworks such as LangChain, LangGraph, or equivalent, alongside managed AI services and model routing gateways • Strong grounding in analytical data modeling, semantic layers, data quality engineering, and CI/CD for data systems • Preferred: experience in healthcare, life sciences, or another regulated domain handling PHI or sensitive data • Preferred: experience with lab data management systems, lab informatics systems, or bioinformatics pipelines • Preferred: Snowflake performance tuning, cost management, dynamic tables, Snowpark, or Cortex • Preferred: Sigma or comparable BI and semantic-layer tools such as Looker, Tableau, or Power BI • Preferred: working knowledge of Power BI • Preferred: experience building and operating agentic or LLM-based workflows • Preferred: Terraform and data observability tooling • Preferred: Salesforce, laboratory information systems, or EHR data integrations • Preferred: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience

🏖️ Benefits

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

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