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

Bazeta; United States; Remote; USD 127,000 - 159,000; Full time

Benefits offered by this job

Remote work

Job summary

Natera is seeking a Manager of Data Engineering & Delivery within the Data Science Production Engineering (DSPE) group in the United States. You will lead a team responsible for PB-scale data sets, develop data infrastructure, ETL pipelines, and robust data delivery products to support Lab Operations and Genetic Counselor teams.

You will translate business requirements into technical designs, create scalable data architectures, mentor engineers, and drive compliant, high-quality data solutions

Qualifications

• Master's degree required with 5+ years in data engineering or related field; Doctorate considered with 2+ years experience.
• Experience in highly regulated environments (e.g., CLIA and/or FDA) is required or highly desirable.
• Minimum 2 years in management leading a Data Engineering/Delivery team with measurable leadership impact.
• Strong proficiency in SQL and Python; knowledge of R is a plus.

Responsibilities

• Lead the Data Engineering & Delivery (DED) team to build and maintain data infrastructure, ETL pipelines, and data products for production and DSPE applications.
• Translate business needs into technical specifications and execution plans; collaborate with DSPE leadership.
• Develop design documents for data architectures and data delivery solutions; oversee testing, deployment, and maintenance.
• Foster compliance, quality, and training within the DED team and document best practices.

Skills

SQL

Python

R

Tableau

Power BI

AWS QuickSight

Git/GitHub

Problem solving

Communication

Leadership

Education

Master's degree in Statistics, Data Science, CS or related

Doctorate degree (plus)

Tools

dbt

GitHub/GitLab

EHR systems

Job description

# Manager of Data Engineering & Delivery (Data Science Production Engineering)United States2 hours agoID 4699102Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: NateraLevel: Director## DescriptionThis 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. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $127,200—$159,000 USD OUR OPPORTUNITY NateraTM is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER... Source: Jobicy (https://jobicy.com/jobs/158512-manager-of-data-engineering-delivery-data-science-production-engineering)This listing comes from a partner feed. Apply on the source website.Source:NateraShare Listing provided by Natera.Price on requestApply on the source websiteActive until Dec 2, 2026