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Sr. Software Engineer/Tech Lead, Data & AI Engineering

NateraUS RemoteEngineering Data & AI
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
6 Apr 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Sr. Software Engineer/Tech Lead, Data & AI Engineering position at Natera is an exciting remote opportunity based in the US, ideal for a seasoned technical leader with a product mindset and hands-on coding expertise. This role suits a strong engineer who wants to set the technical direction for a solutions team building business-critical analytics and AI systems in a regulated healthcare environment.

Key Responsibilities

Own the technical design and architecture for analytics and AI solutions, driving design reviews and build-versus-buy decisions.
Translate business stakeholder requirements into well-scoped technical designs and deliverable milestones.
Establish and enforce engineering standards regarding modeling, pipeline design, testing, CI/CD, and observability.
Design, build, and maintain scalable data pipelines and transformations on the cloud data platform using clinical, laboratory, operational, and commercial data.
Develop governed data models and semantic layers to power self-service analytics, dashboards, and data products such as Patient 360 and Provider 360.
Create AI solutions utilizing agentic workflows, RAG, retrieval, and LLM pipelines for data extraction and classification.
Write production-grade SQL and Python code while contributing to shared frameworks and templates.
Implement robust data quality checks, data contracts, lineage, and monitoring to ensure reliable downstream consumption.
Ensure all data pipelines handling PHI and genomic data comply fully with HIPAA, CLIA, and internal security and governance guidelines.
Mentor and grow engineers through code reviews, pairing, design coaching, and collaborative technical onboarding.

Requirements

7+ years of data or software engineering experience, including at least 2 years leading technical design and delivery for a team or major workstream.
Demonstrated hands-on use of AI coding assistants and agentic tools in daily engineering work.
Expert-level SQL skills and strong Python programming abilities, with a history of shipping and operating production data pipelines at scale.
Deep practical experience with a modern cloud data warehouse and cloud infrastructure, preferably Snowflake and AWS.
Hands-on experience utilizing transformation frameworks like dbt and workflow orchestration tools like Airflow.
1-2 years of practical background building with LLM frameworks such as LangChain or LangGraph, alongside managed AI services and model routing gateways.
Strong foundation in analytical data modeling, semantic layers, data quality engineering, and CI/CD for data systems.

Nice to Have

Experience working in healthcare, life sciences, or other regulated domains handling PHI or sensitive data.
Familiarity with lab data management systems, informatics systems, or bioinformatics pipelines.
Advanced Snowflake experience covering performance tuning, cost management, dynamic tables, Snowpark, or Cortex.
Familiarity with Sigma, Looker, Tableau, or Power BI for self-service consumption modeling.
Experience building and operating agentic or LLM-based workflows inside the data development lifecycle.
Exposure to infrastructure-as-code using Terraform and data observability tools.
Background integrating Salesforce, laboratory information systems, or EHR data sources.
A Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.

Skills and Tools

Python
SQL
AWS
LLM
LangChain
RAG
Airflow
Snowflake
dbt
Terraform

Salary and Benefits

The pay range for this remote US position is $150,400 to $188,000 USD, with actual compensation packages determined by factors such as skillset, depth of experience, certifications, and location. Natera provides comprehensive employee benefits including medical, dental, vision, life, and disability plans for eligible employees and dependents. Additional offerings include free testing for employees and immediate families, fertility care benefits, pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and an employee referral program.

About the Company

Natera is a global leader in cell-free DNA testing, serving patients across oncology, women's health, and organ health. The organization focuses on making personalized genetic testing and diagnostics a standard of care to enable earlier and more targeted health interventions. Natera is an Equal Opportunity Employer committed to fostering a diverse, inclusive workplace environment where all qualified applicants receive consideration without regard to protected characteristics.

How to Apply

Candidates should apply directly on the official company careers page at natera.com.

Skills and tech stack

PythonSQLAWSLLMLangChainRAGAirflowSnowflakedbtTerraform

Questions candidates ask

What is the salary range for the Sr. Software Engineer/Tech Lead, Data & AI Engineering role?

The pay range for this remote US position is $150,400 to $188,000 USD, depending on factors such as skillset, depth of experience, certifications, and location.

Is this position remote?

Yes, this role is listed as US Remote.

What level of experience is required for this job?

Candidates must have 7+ years of data or software engineering experience, including at least 2+ years leading technical design and delivery for a team or major workstream.

What primary programming languages and tools are needed?

The role requires expert-level SQL and strong Python, alongside experience with AWS, Snowflake, dbt, Airflow, Terraform, and LLM frameworks like LangChain.

What benefits does Natera offer to employees?

Natera offers comprehensive medical, dental, vision, life, and disability plans, free testing for employees and immediate families, fertility care benefits, pregnancy and baby bonding leave, 401(k) benefits, and commuter benefits.

Ready to apply?

The application is on the official Natera careers page.

Apply on company site