Manager of Data Engineering & Delivery (Data Science Production Engineering)

Natera•San Carlos, CA

11d•$139,900 - $174,900

About The Position

The Manager of Data Engineering & Delivery (DED) leads a team within Natera’s Data Science Production Engineering department. The role oversees development and maintenance of data infrastructure, ingestion solutions, ETL pipelines, data products, and data delivery systems supporting production and internal applications. The team works with large-scale data sets and cloud technologies to provide reliable data products and delivery automation for Lab Operations and Genetic Counselor/Lab Director teams, supporting patient care. The manager translates business needs into technical specifications and implementation plans, partners with DSPE leadership on system design, contributes to key development and operational activities, and oversees delivery against business and project requirements. The role also supports team development, operational effectiveness, quality, compliance, documentation, and collaboration with internal and external stakeholders.

Requirements

Master’s degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or a related field.
At least 5 years of relevant industry experience with a master’s degree, or at least 2 years with a doctorate degree.
At least 2 years of work experience in a highly regulated environment, such as CLIA- or FDA-compliant settings.
At least 2 years of management experience leading a Data Engineering, Data Production/Delivery, or Data Analytics team, with demonstrable leadership and team management skills.
Strong proficiency in SQL and Python.
Proficiency in data analysis and statistical techniques.
Proficiency in data visualization tools such as Tableau, Power BI, or AWS QuickSight.
Strong SQL skills for developing robust, maintainable queries to extract or aggregate data from complex sources.
Attention to detail and commitment to data accuracy.
Proficiency in building data products, including data aggregation, extraction, transformation, and quality control.
Excellent problem-solving and critical-thinking abilities.
Working knowledge of genomics and bioinformatics workflows.
Proficiency in Git workflow and version control systems such as GitHub or GitLab.
Ability to collaborate in a cross-functional team environment.
Good documentation practices and coding style.
Strong verbal and written communication skills.
Strong interpersonal skills and integrity.

Nice To Haves

Doctorate degree.
Proficiency in R.
Working experience with dbt.
Human genetics knowledge.
Working experience with healthcare data, electronic health records (EHR), and clinical terminology.

Responsibilities

Lead the DED team in developing and maintaining data infrastructure, data ingestion solutions, ETL pipelines, data products, and data delivery solutions for production support and DSPE internal applications.
Manage the team to deliver robust data products and systems efficiently and on time in line with DSPE business needs and project requirements.
Measure, report, and maintain or improve operational effectiveness.
Train and coach team members on technologies, procedures, guidelines, and best practices.
Translate DSPE business needs and project requirements into technical specifications and implementation plans.
Work with DSPE leadership to create maintainable design documents for data architecture, ETL pipelines, data delivery solutions, and other data systems, tools, and components.
Contribute to development, testing, deployment, validation, maintenance, and updates of data products and systems, as well as data delivery tasks.
Improve and enforce operating procedures for compliance, quality, and efficiency.
Create training materials and contribute to training activities for DED-owned data products and systems.
Engage with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.
Represent the DED team in stakeholder meetings.