Big Data Engineer - Healthcare Analytics - Molina Healthcare : Job Details

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.