Natera

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

Work from home

Remote role where the employee must remain based in a particular country.

United States only

Employer listed it 3 weeks ago · Found 11h ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$127,200 to $159,000

Location

United States only

Timezone

Not stated

Contract

Full-time

Experience

Mid

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "US Remote, US"
Job description states: "based in California"

What Nomaders makes of it

Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the 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:

Requirements

·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:

Benefits

·For more information, visit www.natera.com .
·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/
·For more information: - BBB announcement on job scams - FBI Cyber Crime resource page

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Natera, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.