Head of Data Engineering & Platform, Real-World Data (RWD)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Head of Data Engineering & Platform, Real-World Data (RWD) US Remote Head of Data Engineering & Platform, Real-World Data (RWD) POSITION SUMMARY Natera is seeking a leader to head Data Engineering and Platform for Real-World Data (RWD). This role will in partnership with Product drive the strategy and roadmap for the RWD platform and lead the development, operation, and delivery of data products that support clinical, research, and business priorities. The ideal candidate brings strong engineering leadership, deep technical expertise, and experience building reliable, scalable data platforms in healthcare or life sciences environments. This leader will oversee a team focused on data engineering, data platform development, and data delivery, and will partner closely with product, bioinformatics, analytics, and AI teams to build data solutions that are useful, reliable, and easy to consume across the organization. RESPONSIBILITIES - Lead, mentor, and grow a team of data engineers and SQA, with a focus on strong engineering practices, career development, and operational ownership. - Define and drive the strategy and roadmap for the Real-World Data platform, including capabilities that support research and analytics, rapid data mart development, and secure data de-identification and sharing. - Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models, and translate them into scalable platforms, production-grade pipelines, and reusable data products for clinical, molecular, genomic, and real-world data. - Lead the delivery of curated datasets, data marts, and consumer-facing data solutions, defining data SLAs and service expectations to

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