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Data Engineer

Data Engineer

Millennium Physician GroupFort Myers, FL, US
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Job Description

Job Description

Mosaic Health is a national care delivery platform focused on expanding access to comprehensive primary care

for consumers with coverage across Commercial, Individual Exchange, Medicare, and Medicaid health plans.

The Business Units which comprise Mosaic Health are multi-payer and serve nearly one million consumers

across 19 states, providing them with access to high quality primary care, integrated care teams, personalized

navigation, expanded digital access, and specialized services for higher-need populations. Through Mosaic

Health, health plans and employers have an even stronger care provider partner that delivers affordability and

superior experiences for their members and employees, including value-based primary care capacity

integrated with digital patient engagement and navigation. Each of the companies within Mosaic Health

provide unique offerings that together promise to improve individuals' health and wellbeing, while helping

care providers deliver higher quality care. For more information, please visit www.mosaichealth.com or

follow Mosaic Health on LinkedIn.

Formed in 2008 and headquartered in Fort Myers, Florida, with offices in Florida, North Carolina, and Texas,

Millennium Healthcare is the largest independent physician group in the state of Florida and one of the largest

in the United States. At Millennium Physician Group, our employees are the foundation of our success. Our

promise is to provide you with the tools to do your job successfully, as well as providing a team atmosphere

that empowers you to seek better ways to deliver care to our patients and their families. We also promise to

care for you as an individual and help you grow in your role.

The Data Engineer will support all business units within Mosaic Health and is responsible for designing,

developing, and maintaining scalable enterprise data warehouse, data pipelines and architectures to support

analytics, reporting, and data-driven decision-making across the organization. This role involves working closely

with data analysts, business intelligence teams, and IT to ensure efficient data processing, integration, and

storage. The Data Engineer will focus on data transformation, optimization, and governance to ensure highquality, reliable, and secure data solutions.

Responsibilities

  • Design, build, and maintain scalable and reliable data pipelines to ingest, transform, and store

structured and unstructured data from disparate sources.

  • Develop and optimize ETL (Extract, Transform, Load) processes to improve data workflows and
  • performance.

  • Ensure data integrity, security, and compliance with healthcare regulations such as HIPAA.
  • Work with cloud-based data platforms (AWS, Azure, GCP) to optimize data storage and retrieval.
  • Collaborate with data analysts and business teams to understand data needs and develop solutions
  • for reporting and analytics.

  • Monitor and troubleshoot data pipeline issues, optimizing performance and reliability.
  • Implement data governance policies, ensuring consistency and accuracy across systems.
  • Develop and maintain documentation for data models, architectures, and workflows.
  • Integrate data from multiple sources, including EHR systems, APIs, and third-party applications.
  • Support real-time data processing and automation of data pipelines.
  • Stay updated on emerging data technologies and recommend improvements to current
  • infrastructure.

  • Provide support for ad-hoc data requests, ensuring timely and accurate reporting.
  • Demonstrate excellent guest service to internal team members and patients.
  • Perform other related duties as assigned.
  • Demonstrate excellent guest service to internal team members and patients.
  • Perform other related duties as assigned.
  • Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 3+ years of experience in data engineering, database management, or big data processing.
  • Proficiency in SQL, Python, and ETL frameworks.
  • Experience with cloud data platforms (AWS, Azure, GCP) and big data technologies.
  • Hands-on experience with data integration, APIs, and workflow automation.
  • Knowledge of data security, governance, and compliance standards (especially in healthcare).
  • Strong problem-solving and analytical skills.
  • Ability to work independently in a fast-paced, cross-functional environment.
  • A commitment to providing excellent service to internal team members and patients.
  • High level of professionalism and integrity in all interactions.
  • Ability to work independently in a fast-paced, cross-functional environment.
  • Physical Demands

  • Sedentary work. Exerting up to 10 pounds of force occasionally and / or negligible amount of force
  • frequently or constantly to lift, carry, push, pull, or otherwise move objects. Repetitive motion.

    Substantial movements (motions) of the wrists, hands, and / or fingers. The worker must have close

  • visual acuity to perform an activity such as : preparing and analyzing data and figures; transcribing;
  • viewing a computer terminal; extensive reading. Ability to lift to 15 lbs. independently not to exceed

    50 lbs. without help.

    Equal Employment Opportunity

  • Mosaic Health is an Equal Employment Opportunity employer and all qualified applicants will receive
  • consideration for employment without regard to age, citizenship status, color, creed, disability,

    ethnicity, genetic information, gender (including gender identity and gender expression), marital

    status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or

    condition protected by applicable federal, state, or local laws.

  • If you require an accommodation for the application or interview process, please let us know and we
  • will work with you to meet your needs. Please contact HRbenefits@mpgus.com for assistance.

    Job Posted by ApplicantPro

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    Data Engineer • Fort Myers, FL, US