3 days ago
Base Salary
$125k - $156k/yr
Responsibilities
- Partner directly with business stakeholders as their primary technical advisor and engineer for data and AI initiatives.
- Conduct launch discovery and impact analysis, translate business needs into technical specifications, and manage deliverable milestones.
- Design, build, and operate scalable data pipelines, transformations, governed data models, and semantic layers.
- Develop agentic workflows, retrieval-augmented generation, and LLM pipelines for extraction, classification, productivity, and automation.
- Write production-grade SQL and Python and contribute to shared engineering frameworks, templates, and tooling.
- Implement data quality checks, contracts, lineage, monitoring, access controls, auditability, and retention for trusted data products.
- Own operational excellence including SLAs, incident response, root-cause analysis, and compute and storage cost efficiency.
- Ensure solutions handling PHI and genomic data comply with HIPAA, CLIA, and internal security and governance requirements.
- Collaborate with platform and AI teams, participate in code reviews and architecture forums, and communicate technical tradeoffs to nontechnical stakeholders.
Requirements
- 7+ years of data or software engineering experience, including forward-deployed or customer-facing delivery of analytics and AI solutions.
- Experience partnering directly with nontechnical business stakeholders, translating technical concepts, and managing project deliverables.
- Demonstrated daily use of AI coding assistants and agentic tools in engineering work.
- Expert-level SQL and strong Python experience shipping and operating production data pipelines and data models at scale.
- Deep experience with a modern cloud data warehouse and cloud infrastructure, preferably Snowflake and AWS.
- Hands-on experience with dbt or an equivalent transformation framework and workflow orchestration tools such as Airflow, Dagster, or Prefect.
- 1–2 years of practical experience building with LLM frameworks such as LangChain or LangGraph, managed AI services, model-routing gateways, and foundational APIs.
- Strong knowledge of analytical data modeling, semantic layers, data quality engineering, and CI/CD for data systems.
- Preferred experience in healthcare, life sciences, regulated domains, laboratory or bioinformatics systems, and sensitive data handling.
- Preferred experience with Snowflake performance tuning, dynamic tables, Snowpark, Cortex, Sigma, Looker, Tableau, or Power BI.
- Preferred experience building and operating agentic or LLM workflows, using Terraform and data observability tools, and integrating Salesforce, laboratory information systems, or EHR data sources.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
Benefits
- Remote USA work arrangement.
- Base pay range of $125,000–$156,300 USD.
- Medical, dental, vision, life, and disability plans for eligible employees and dependents.
- Free testing for employees and immediate family members plus fertility care benefits.
- Pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and an employee referral program.
About Natera
Natera develops and sells cell-free DNA-based diagnostic tests for oncology, women’s health, and organ transplant care, used by hospitals and clinicians. Its portfolio includes non-invasive prenatal testing and carrier screening, minimal residual disease monitoring for cancer, and transplant rejection assessment, delivered as CLIA/CAP-accredited lab services. Founded in 2004 and headquartered in Austin, Texas, Natera is a public company listed on NASDAQ.