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.