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Big Data Engineer - Medicare/Medicaid
Molina Healthcare Omaha, Nebraska; Jacksonville, Florida; Madison, Wisconsin; Covington, Kentucky; Rio Rancho, New Mexico; Buffalo, New York; Lexington-Fayette, Kentucky; Ann Arbor, Michigan; Akron, Ohio; Bowling Green, Kentucky; San Antonio, Texas; Orem, Utah; Spokane, Washington; Bellevue, Washington; Houston, Texas; Boise, Idaho; Lincoln, Nebraska; Sioux City, Iowa; Tacoma, Washington; Tampa, Florida; Kenosha, Wisconsin; Roswell, New Mexico; Kearney, Nebraska; Texas; Nebraska; New York; Yonkers, New York; Grand Island, Nebraska; Idaho Falls, Idaho; Dayton, Ohio; Layton, Utah; Ohio; New Mexico; Phoenix, Arizona; Santa Fe, New Mexico; Provo, Utah; Scottsdale, Arizona; Mesa, Arizona; Columbus, Georgia; Atlanta, Georgia; Miami, Florida; Orlando, Florida; Detroit, Michigan; Cleveland, Ohio; Albuquerque, New Mexico; Syracuse, New York; Everett, Washington; Albany, New York; Austin, Texas; Grand Rapids, Michigan; Salt Lake City, Utah; Meridian, Idaho; Augusta, Georgia; St. Petersburg, Florida; Iowa City, Iowa; Utah; Bellevue, Nebraska; Vancouver, Washington; Owensboro, Kentucky; Cincinnati, Ohio; Louisville, Kentucky; Wisconsin; Dallas, Texas; Cedar Rapids, Iowa; Kentucky; Fort Worth, Texas; Sterling Heights, Michigan; Chandler, Arizona; Rochester, New York; Las Cruces, New Mexico; West Valley City, Utah; Green Bay, Wisconsin; Tucson, Arizona; Florida; Michigan; Idaho; Georgia; Des Moines, Iowa; Davenport, Iowa; Racine, Wisconsin; Caldwell, Idaho; Milwaukee, Wisconsin; Nampa, Idaho; Savannah, Georgia; Columbus, Ohio; Washington; Iowa; Warren, Michigan; Macon, Georgia Job ID 2031670Job Summary
We are seeking a highly skilled and forward-thinking Big Data Engineer to join our healthcare data team. This role encompasses the end-to-end design, development, and management of large-scale data systems tailored for healthcare analytics. The ideal candidate will be responsible for architecting and maintaining robust, scalable, and secure data pipelines that support critical decision-making across the organization. This position requires deep technical expertise in modern Big Data tools, real-time and batch data integration, and a strong understanding of data governance and compliance in healthcare environments.
Knowledge/Skills/Abilities:
• Architect and implement scalable, high-performance Big Data solutions that support structured and unstructured data from diverse sources.
• Build and manage batch and real-time data ingestion/extraction pipelines using tools like Kafka, Spark Streaming, and Talend.
• Develop reusable and efficient ETL frameworks using Python/Scala for high-volume data transformation and movement.
• Design and optimize data models to support analytical and operational use cases, including healthcare claims and utilization data.
• Collaborate with cross-functional teams, including data scientists, analysts, and business partners, to translate requirements into robust data products.
• Deploy, monitor, and troubleshoot Hadoop-based infrastructure using tools such as Cloudera Manager, Ambari, and Zookeeper.
• Enforce data quality, security, and compliance standards using tools such as Kerberos, Ranger, and Sentry.
• Implement web services and APIs (REST/SOAP) to enable seamless integration with applications and visualization platforms.
• Contribute to data governance initiatives, including metadata management, lineage tracking, and quality assurance.
Job Qualifications
Required Qualifications
• Minimum 3 years of hands-on experience in Big Data engineering, data integration, and pipeline development.
• Proficiency in Python, Java, or Scala for data transformation and system scripting.
• Expertise in Big Data tools: Spark, Hive, Impala, Presto, Phoenix, Kylin, and Hadoop (HDFS, YARN).
• Experience building real-time stream-processing systems using Kafka, Storm, or Spark Streaming.
• Strong knowledge of NoSQL databases like HBase and MemSQL, and traditional RDBMS including PostgreSQL, Oracle, and SQL Server.
• Skilled in ETL design and development using tools such as Talend or Informatica.
• Demonstrated experience in deploying and monitoring big data infrastructure with Ambari, Cloudera Manager, and Zookeeper.
• Solid understanding of data warehousing, data validation, data quality checks, metadata management, and governance.
Preferred Qualifications
• 5+ years of progressive experience in Big Data engineering or analytics.
• Prior experience working in the healthcare industry with familiarity in clinical, claims, or care management data.
• Experience with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).
Technical Environment
• Big Data Ecosystem: Hadoop, Spark, Hive, Kafka, Presto, Impala, Phoenix, Kylin, Zookeeper
• Streaming & Messaging: Kafka, Spark Streaming, Storm
• ETL & Integration: Talend, Informatica, Python/Scala-based ETL
• Programming Languages: Python, Java, Scala, SQL
• Databases: HBase, MemSQL, PostgreSQL, Oracle, SQL Server
• Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Git
• Security & Governance: Kerberos, Ranger, Sentry, Metadata Management
• Monitoring Tools: Ambari, Cloudera Manager
• APIs: REST, SOAP
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $77,969 - $171,058 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
About Us
Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Job Type Full Time Posting Date 07/16/2025Job Alerts
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