Senior Software Engineer – Tech Lead, Data & AI Engineering

🕒 August 11

🤠 Texas – Remote

🤠 Texas – Remote

💵 $150.4k - $188k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

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• Open for 96 days.
• Jobs at this company usually fill in 21 days.
• Reposted once.

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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

• Set technical direction for a solutions team building analytics and AI solutions for business stakeholders • Own technical design and architecture; drive design reviews and build-vs-buy and technology decisions • Translate business needs into technical designs and deliverable milestones • Establish engineering standards for modeling, pipelines, testing, CI/CD, and observability • Design, build, and maintain scalable cloud data pipelines and transformations • Develop governed data models and semantic layers for self-service analytics, dashboards, and data products • Develop AI solutions using agentic workflows, RAG/retrieval, and LLM pipelines • Write production-grade SQL and Python and contribute to shared frameworks and tooling • Lead root-cause analysis and durable fixes for complex data issues • Use AI coding assistants and agentic tools across development, testing, documentation, and operations • Define and scale AI-native engineering practices and compliance guardrails • Mentor engineers through code review, pairing, and design coaching • Partner on technical hiring, onboarding, and skills development • Implement data quality checks, contracts, lineage, and monitoring • Own SLAs, incident response, and compute and storage cost efficiency • Ensure PHI and genomic-data pipelines meet HIPAA, CLIA, and internal security and governance requirements • Work with business stakeholders and platform teams; represent the team in architecture, governance, and tool-evaluation forums

🎯 Requirements

• 7+ years of data or software engineering experience • 2+ years leading technical design and delivery for a team or major workstream • Ability to mentor engineers, run design and code reviews, drive technical consensus, and communicate with technical and non-technical audiences • Hands-on daily use of AI coding assistants and agentic tools • 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; Snowflake/AWS preferred • Hands-on experience with dbt or equivalent transformation frameworks • Experience with Airflow, Dagster, Prefect, or similar workflow orchestration • 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 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, lab informatics, 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: agentic or LLM-based workflows within the data development lifecycle • Preferred: Terraform and data observability tooling • Preferred: Salesforce, laboratory information systems, or EHR integrations • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience (preferred)

🏖️ Benefits

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

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