Job description

We invite you to apply for the Big Data Engineer - Healthcare Analytics role at Molina Healthcare, where you'll be part of an innovative healthcare data team. Job Summary As a Big Data Engineer, you will play a crucial role in the design, development, and management of large-scale data systems tailored for healthcare analytics. Your mission will be to architect and maintain robust, scalable, and secure data pipelines that are essential for critical decision-making across our organization. This position demands a deep technical expertise in modern Big Data tools, with a focus on real-time and batch data integration while ensuring compliance with healthcare data governance. Knowledge/Skills/Abilities • Design and implement scalable, high-performance Big Data solutions accommodating both structured and unstructured data. • Create and manage batch and real-time data ingestion/extraction pipelines utilizing tools such as Kafka, Spark Streaming, and Talend. • Develop reusable and efficient ETL frameworks through Python/Scala to facilitate high-volume data transformation and movement. • Optimize data models to support analytical and operational needs, including healthcare claims and utilization data. • Work collaboratively with cross-functional teams, including data scientists, analysts, and business partners, translating requirements effectively into robust data solutions. • Deploy, monitor, and troubleshoot Hadoop-based infrastructure using management tools like Cloudera Manager and Ambari. • Uphold data quality, security, and compliance standards through established protocols using tools like Kerberos and Ranger. • Implement web services and APIs (REST/SOAP) for seamless application and visualization platform integrations. • Contribute to data governance initiatives, including metadata management and quality assurance. Job Qualifications Required Qualifications • A minimum of 3 years of hands-on experience in Big Data engineering, data integration, and pipeline development. • Proficiency in Python, Java, or Scala specifically for data transformation and system scripting. • Expertise in a variety of Big Data tools including Spark, Hive, Impala, and Hadoop (HDFS, YARN). • Experience in building real-time stream-processing systems employing Kafka or similar technologies. • Strong knowledge of both NoSQL databases and traditional RDBMS like PostgreSQL and Oracle. • Skilled in ETL design and execution using tools such as Talend. • Demonstrated experience in deploying and monitoring big data infrastructure using Ambari. • A solid understanding of data warehousing concepts, data validation, and data governance. Preferred Qualifications • Over 5 years of progressive experience in Big Data engineering or analytics. • Prior experience in the healthcare industry, familiar with clinical, claims, or care management data. • Exposure to cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes). Technical Environment • Big Data Ecosystem: Hadoop, Spark, Hive, Kafka • Streaming & Messaging: Kafka, Spark Streaming • ETL & Integration: Talend, Python/Scala-based ETL • Programming Languages: Python, Java, Scala, SQL • Databases: HBase, MemSQL, PostgreSQL, Oracle • Cloud & DevOps: AWS, Azure, Docker, Kubernetes • Security & Governance: Kerberos, Ranger • Monitoring Tools: Ambari, Cloudera Manager • APIs: REST, SOAP Join Molina Healthcare and be part of a team that values diverse ideas and the drive for continuous improvement. We offer a competitive benefits and compensation package that reflects our commitment to innovation and excellence in healthcare.

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