IT Data Engineer II
At a glance
Mid-level Data Engineering role at Mosaic Health. Remote, United States · full-time · $89,641–$134,461 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build, test and maintain ETL/ELT pipelines that bring source-system data into the enterprise platform
- Use SQL to transform and check data, then shape it for downstream consumption
- Contribute to data models and schema design while tracking pipeline health and resolving data-quality failures
- Maintain data dictionaries, pipeline details and lineage records, and take part in code reviews
- Work with analytics and business systems teams to clarify data needs and deliver solutions that match them
What you bring
- You have experience building and supporting data pipelines, transformations and integrations across systems
- You can write and improve SQL for data transformation, validation and consumption-layer work
Who this fits
This mid-level role suits you if you can take on defined engineering work with growing independence and bring difficult design or data-quality concerns to senior engineers. The position is remote within the United States.
From the employer
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.
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.<br><br>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.
How will you make an impact & Requirements
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.
Compensation Range:
$89,641.00to
$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.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data EngineeringRemote$80k+
Find me workBy the team behind dataroles.