IT Data Engineer II

Millennium Physician Group is one of the largest comprehensive primary care practices in Florida, serving communities through a value-based care model focused on improving patient outcomes and enhancing the healthcare experience. As part of Mosaic Health, MPG is committed to delivering coordinated, patient-centered care while partnering with health plans, providers, and community organizations to improve the health of the populations it serves.

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Job Description Summary

Builds and maintains data pipelines, transformations, and integrations that move data across the organization’s systems and into the enterprise data platform. Works on structured data engineering tasks with developing independence, contributing to the delivery of reliable, high-quality data assets.

The IT Data Engineer II works under general direction on defined workstreams with developing independence. Decisions impact team and project-level outcomes. This job builds applied expertise in data engineering tools and practices, contributes to data platform delivery, and escalates complex design or quality issues to senior engineers.

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How will you make an impact & Requirements

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Key Responsibilities • Develop, test, and maintain data pipelines and ETL/ELT processes that extract, transform, and load data from source systems into the data platform. • Write and optimize SQL queries for data transformation, validation, and consumption layer development. • Support data model development and contribute to logical and physical schema design. • Monitor pipeline health and data quality, investigating failures and resolving issues. • Contribute to data documentation including pipeline metadata, data dictionaries, and lineage records. • Participate in code reviews and contribute to the adoption of engineering best practices. • Collaborate with analytics and business systems teams to understand data requirements and deliver aligned solutions.

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Compensation Range:

$89,641.00

to

$134,461.00

The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.