[All remote jobs](https://jobicy.com/jobs.md)[![Natera logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/1c3a8032-221.png)](https://jobicy.com/company/natera.md)[Natera](https://jobicy.com/company/natera.md) # Manager of Data Engineering & Delivery (Data Science Production Engineering) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/natera.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 127,200–159k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished2 Nov 2026Apply before2 Dec 2026Listing views53Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Natera is seeking a manager to lead its Data Engineering & Delivery team within Data Science Production Engineering. The role owns data infrastructure, ingestion solutions, ETL pipelines, data products, delivery automation, and operational effectiveness for precision-medicine workflows. It combines hands-on technical leadership with people management, architecture planning, stakeholder alignment, and quality documentation in a regulated healthcare environment. Candidates need strong SQL and Python skills, experience leading data teams, and familiarity with large-scale data, compliance, and ideally genomics or clinical data. The position is remotely based in the United States and supports systems that affect laboratory operations and patient outcomes. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical management role requiring leadership across petabyte-scale data systems, production delivery, and regulated clinical operations. Success requires both deep data-engineering judgment and the ability to coordinate technical roadmaps with diverse stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$143,100US market range (per year)$135k–$180k0$198.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a $127,200–$159,000 USD pay range. No pay cadence is stated, so yearly compensation is inferred based on the US-based full-time senior data engineering management context. The estimated US market range for a data engineering manager with regulated healthcare and large-scale data responsibilities is $135,000–$180,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data engineering leadership](https://jobicy.com/jobs?search_keywords=Data%20engineering%20leadership.md)[ETL pipeline development](https://jobicy.com/jobs?search_keywords=ETL%20pipeline%20development.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Data infrastructure](https://jobicy.com/jobs?search_keywords=Data%20infrastructure.md)[Data product development](https://jobicy.com/jobs?search_keywords=Data%20product%20development.md)[Cloud technologies](https://jobicy.com/jobs?search_keywords=Cloud%20technologies.md)[Data quality control](https://jobicy.com/jobs?search_keywords=Data%20quality%20control.md)[Data delivery automation](https://jobicy.com/jobs?search_keywords=Data%20delivery%20automation.md)[Healthcare data](https://jobicy.com/jobs?search_keywords=Healthcare%20data.md)[Regulatory compliance](https://jobicy.com/jobs?search_keywords=Regulatory%20compliance.md)[Genomics workflows](https://jobicy.com/jobs?search_keywords=Genomics%20workflows.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Git version control](https://jobicy.com/jobs?search_keywords=Git%20version%20control.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md) Sample interview questionsHow would you improve the reliability of a production ETL pipeline processing large and sensitive clinical datasets?I would first establish observable service-level objectives for freshness, completeness, accuracy, and recovery time. I would implement automated validation checks, idempotent processing, lineage tracking, alerting, and documented runbooks, then prioritize improvements using incident and quality metrics. Describe your approach to managing a data engineering team in a regulated environment. I set clear engineering standards for code review, validation, access controls, change management, and documentation. I combine regular coaching and delivery planning with measurable quality indicators, ensuring the team understands both the technical requirements and the patient-impacting importance of compliant operations. How do you translate a stakeholder request into an implementable data product? I clarify the decision or workflow the product must support, define users, source systems, data definitions, quality thresholds, ownership, and delivery expectations. I then produce a concise design document, align on acceptance criteria, phase delivery where appropriate, and keep stakeholders informed through implementation and validation. What would you do if a critical data delivery failed shortly before laboratory operations needed it? I would activate the incident process, assess scope and data integrity, communicate an initial status and expected update time, and use an approved recovery or fallback procedure. After restoration, I would lead a blameless review to identify root causes, corrective actions, and controls that prevent recurrence. How have you balanced hands-on technical contribution with people-management responsibilities? I stay technically engaged through architecture reviews, design discussions, and selective work on high-risk problems while delegating implementation ownership to team members. This lets me maintain technical context, unblock delivery, and create growth opportunities without becoming a bottleneck. Opportunity details ## About this role. 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. ### 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 Natera™ 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 Competitive Benefits – Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit [www.natera.com](http://www.natera.com/). Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: [https://www.natera.com/notice-of-data-collection-california-residents/](https://www.natera.com/notice-of-data-collection-california-residents) Please be advised that Natera will reach out to candidates with a @[natera.com](http://natera.com/) email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: – [BBB announcement on job scams](https://www.bbb.org/article/tips/12261-bbb-tip-employment-scams) – [FBI Cyber Crime resource page](https://www.fbi.gov/investigate/cyber) Show more [Apply now >](https://jobicy.com/jobs/158512-manager-of-data-engineering-delivery-data-science-production-engineering.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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