Senior Healthcare Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• 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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Verification

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Salary

$85K-$125K not verified - source not recorded; timestamp not recorded

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

6% below the BLS role benchmark for data and ml aggregate.

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

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Healthcare Data Engineer Remote, UNAVAILABLE, US; Portland, ME, US Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end-to-end data management services to clients across public and private sectors. This position is an attractive opportunity if you're looking to pivot into the consulting space and have a strong interest in developing a wide range of skills and expertise in healthcare data management and analytics. You can expect a range of projects including, but not limited to: Enterprise data management advisory Data quality and system analysis Business requirements solicitation and analysis Designing and building data pipelines, warehouses, data integration, and business intelligence solutions. You can be in-office in either Portland, ME or Manchester, NH or potentially remote You Will Contribute to all aspects of the Systems Development Lifecycle: Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions. Participate in Goal Setting: Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities. Translate Requirements : Convert business and technical requirements into detailed data analysis and system design specifications. Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management a

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