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.

Responsibilities

Lead a Data Engineering & Delivery (DED) team; Develop and maintain data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions; Manage the DED team to achieve timely and efficient delivery of robust data products and systems; Measure, report, and maintain/improve operational effectiveness; Train and coach team members on new technologies, procedures, and guidelines/best practices; Translate DSPE's business needs and project requirements into technical specifications and implementation plans; Create design documents 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; Improve and enforce operating procedures for compliance, quality, and efficiency; Create training materials and contribute to training activities; Engage proactively with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics; Represent the DED team in stakeholder meetings.

Requirements

Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields; 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; Strong proficiency in SQL and Python programming languages; 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; Excellent problem-solving and critical-thinking abilities; Working knowledge of genomics and bioinformatics workflows; Proficiency in Git workflow and version control systems like GitHub and/or GitLab; 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.

Nice to have

Doctorate degrees are a plus; Proficiency in R is a plus; Past working experience in dbt is a plus; Human genetics knowledge is a plus; Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.

Benefits

Annual performance incentive bonus; Long-term equity awards; Comprehensive health benefits (medical, dental, vision); 401(k) with company match; Generous paid time off and company holidays; Additional wellness and work-life benefits; 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; Commuter benefits; Generous employee referral program