Manager of Data Science Production Engineering, Data Engineering & Delivery New San Carlos, CA

Natera, Inc.; San Carlos, Northern (CA, KY); On-site; USD 180,000 - 240,000; Full time

Job summary

Natera, Inc. seeks a Manager of Data Science Production Engineering to lead the Data Engineering & Delivery (DED) team within DSPE. You will guide data infrastructure, ingestion, ETL pipelines, and data delivery solutions, supporting Lab Operations and Clinical teams with robust, scalable data products and automation.

Ideal candidates have strong SQL/Python, regulatory experience, and proven leadership, with a focus on delivering accurate data at scale across diverse data sources.

Qualifications

• Advanced SQL and Python skills with data engineering focus.
• Experience in regulated environments (CLIA/FDA) is preferred.
• Proven leadership of Data Engineering/Delivery teams.
• Strong communication and cross-functional collaboration.

Responsibilities

• Lead a Data Engineering & Delivery team to build data infrastructure and ETL pipelines for production and internal DSPE apps.
• Translate business needs into technical specs and implementation plans.
• Create design docs for data systems and ensure robust delivery.
• Contribute to development, testing, deployment, and maintenance activities.

Skills

SQL

Python

R

Data visualization

Statistical techniques

Data products

Git workflow

Communication

Problem solving

Team leadership

Education

Master's degree in Statistics, Data Science, Bioinformatics, CS, Math, OR, etc.

Doctorate is a plus

Tools

Tableau

Power BI

AWS QuickSight

dbt

GitHub

GitLab

Job description

Manager of Data Science Production Engineering, Data Engineering & Delivery

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

PRIMARY RESPONSIBILITIES:

Leadership

• Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications.
• Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements.
• Measure, report, and maintain/improve operational effectiveness.
• Train and coach team members on new technologies, procedures, and guidelines/best practices.

Technical

• Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications
• Translate DSPE's business needs and project requirements into technical specifications and implementation plans.
• Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components.
• Contribute to key development, testing, deployment, validation, maintenance, and update activities on data products and data systems/tools/components, as well as data delivery tasks.

Quality, Compliance, and Documentation

• Improve and enforce operating procedures for compliance, quality, and efficiency.
• Create training materials, and contribute to training activities, on DSPE Data Engineering & Delivery (DED) team owned data products and data systems.

Cross-Functional

• Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.
• Represent the Data Engineering & Delivery (DED) team in stakeholder meetings.

QUALIFICATIONS:

• Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields. Doctorate degrees are a plus.
• Minimal 5 years of relevant industry experience for candidates with a Master's Degree. Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.
• Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
• Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.

KNOWLEDGE, SKILLS, AND ABILITIES:

• Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.
• Proficiency in data analysis and statistical techniques.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, AWS QuickSight).
• Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.
• Attention to detail and a commitment to data accuracy.
• Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.
• Excellent problem-solving and critical-thinking abilities.
• Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.
• Proficiency in Git workflow and version control systems like GitHub and/or GitLab.
• Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.
• Ability to work collaboratively in a cross-functional team environment.
• Good documentation practices and coding style.
• Strong verbal and written communication skills.
• Strong interpersonal skills.
• Strong integrity.

Compensation & Total Rewards

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera’s robust