N

Natera

Makes genetic tests for clinical care

Manager of Data Engineering & Delivery - Data Science Production Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Carlos, CA, USAIn-person

About the Job

Requirements

  • A master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or another related field; doctorate degrees are a plus.
  • 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- and/or FDA-compliant settings.
  • At least 2 years of management experience leading a Data Engineering, Data Production/Delivery, or Data Analytics team.
  • Strong proficiency in SQL and Python programming languages.
  • 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 and/or aggregate data from complex data sources.
  • Attention to detail and commitment to data accuracy.
  • Proficiency in building data products, including data aggregation, extraction, transformation, and quality control.
  • Working knowledge of genomics and bioinformatics workflows.
  • Proficiency in Git workflow and version control systems such as GitHub and/or GitLab.
  • Good documentation practices and coding style.
  • Strong verbal and written communication skills.
  • Strong interpersonal skills.
  • Strong integrity.

Responsibilities

  • Lead the Data Engineering & Delivery team in collectively developing and maintaining data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions for production support and Data Science Production Engineering internal applications.
  • Manage the Data Engineering & Delivery team to ensure timely and efficient delivery of robust data products and systems that meet business needs and project requirements.
  • Measure, report, and maintain or improve operational effectiveness.
  • Train and coach team members on new technologies, procedures, guidelines, and best practices.
  • Translate Data Science Production Engineering business needs and project requirements into technical specifications and implementation plans.
  • Work with Data Science Production Engineering leadership teams to create maintainable design documents for data system 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 data systems, tools, and components, 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 team-owned data products and data systems.
  • Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.
  • Represent the Data Engineering & Delivery team in stakeholder meetings.

Desired Qualifications

  • Doctorate degree.
  • Proficiency in R.
  • Experience with dbt.
  • Knowledge of human genetics.
  • Experience with healthcare data, electronic health records, and clinical terminology.

About the Company

Natera

Makes genetic tests for clinical care

Natera develops genetic tests for clinicians caring for people with cancer, inherited conditions, pregnancies, and organ transplants, using DNA analysis to inform medical decisions. Its portfolio includes Signatera for tracking residual cancer, Panorama for prenatal screening, and Prospera for assessing transplanted organ health. The company combines laboratory analysis with software that distinguishes DNA fragments in blood, and earns revenue mainly from diagnostic testing, alongside licensing and services for research partners. Clinicians use its portals to order tests, track samples, and review results, while patients have access to genetic information sessions. Natera was founded in 2004 and is headquartered in Austin, Texas.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

Recently Posted Jobs

Explore more opportunities at Natera

See more jobs