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Data Engineer
Data EngineerMillennium Physician Group • Fort Myers, Florida, USA
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Data Engineer

Data Engineer

Millennium Physician Group • Fort Myers, Florida, USA
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  • serp_jobs.job_card.full_time
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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 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

Bachelors 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 for assistance.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

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