Big Data Engineer - Medicare/Medicaid
Job 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.
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