Manager of Data Science Production Engineering, Data Engineering & Delivery

Natera
United States
Workplace: OnsiteFull timeUSD 139,900 - 174,900 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Leadership","Training","Problem-solving","Communication","Documentation"]

Lead a Data Engineering & Delivery team within Data Science Production Engineering, building and maintaining data infrastructure, ingestion solutions, ETL pipelines, and robust data products and delivery/automation systems. Translate DSPE needs into technical specifications, create maintainable design documents for data architecture and pipelines, and drive production support while improving operational effectiveness and compliance. Coach engineers, measure performance, and partner with stakeholders to align roadmaps, resolve dependencies, and report metrics.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Natera
Natera
3 days ago

Manager of Data Science Production Engineering, Data Engineering & Delivery

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead a Data Engineering & Delivery team within Data Science Production Engineering, building and maintaining data infrastructure, ingestion solutions, ETL pipelines, and robust data products and delivery/automation systems. Translate DSPE needs into technical specifications, create maintainable design documents for data architecture and pipelines, and drive production support while improving operational effectiveness and compliance. Coach engineers, measure performance, and partner with stakeholders to align roadmaps, resolve dependencies, and report metrics.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead the Data Engineering & Delivery team to develop and maintain data infrastructure, ingestion solutions, ETL pipelines, and robust data products and delivery solutions for production support and internal DSPE applications.
  • •Manage the team to ensure timely and efficient delivery of data products and systems aligned to DSPE business needs and project requirements.
  • •Translate DSPE business needs into technical specifications, implementation plans, and design documents for data system architecture and pipelines.
  • •Contribute to development, testing, deployment, validation, maintenance, and updates for data products and delivery systems.
  • •Improve operating procedures for compliance, quality, and efficiency; train and coach team members; coordinate with stakeholders to align roadmaps and resolve dependencies.

Pay and Benefits

Salary: USD 139,900 - 174,900 annually
Equity and Bonus:Equity
Perks:MedicalDentalVision401kAnnual Bonus

Key Requirements

  • •Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or related fields (Doctorate a plus).
  • •5+ years of relevant industry experience with a Master's degree (2+ years with a Doctorate degree).
  • •2+ years of management experience leading a Data Engineering/Delivery or Data Analytics team with evidence of leadership and team management.
  • •2+ years working in a highly regulated environment (e.g., CLIA and/or FDA compliant settings).
  • •Strong proficiency in SQL and Python, with data product building experience; dbt experience is a plus.
Experience:5+ years
Education:Master's
Skills:LeadershipTrainingProblem-solvingCommunicationDocumentation
Tech Stack:SQLPythonRTableauPower BIAWS QuickSightDbtGitGitHubGitLabEHR

Company Brief

Natera
Develops and commercializes genetic testing and diagnostics focused on reproductive health, oncology, and organ transplant to inform clinical decision-making and improve patient outcomes.
Industry: Diagnostics
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Carlos, United States
Founded: 2004
WebsiteLinkedIn