Senior Engineer, Big Data - Payment Integrity/Databricks - Remote

Molina Healthcare•Long Beach, CA

48d•$79,608 - $172,484•Remote

About The Position

This role is responsible for all aspects of architecture, design, and implementation of Data Management solutions using Big Data platforms on Cloudera or Hortonworks, and other enterprise application platforms. Reporting and analytics are very important for this position, as is payment integrity. Candidates should update their resumes with any relevant previous experience.

Requirements

Bachelor's Degree
5-7 years of data management experience.
Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.
Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.).
Experience building solutions with NoSQL databases, such as HBase, Memsql.
Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance.
Experience with programming language such as, Java/Scala/Python, etc.
Experience implementing Web application and Web Services APIs (REST/SOAP).

Nice To Haves

Master's Degree
7-10 years of data management experience.
Experience in the healthcare industry is preferred.
Reporting and analytics are very important for this position.
Payment Integrity experience is very important for this opportunity.

Responsibilities

Convert concepts to technical architecture, design and implementation
Provide guidance on choosing ideal Architecture, Evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
Design and build data solutions with an emphasis on performance, scalability, and high-reliability
Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
Build data model for analytics and application layers
Contribute to leading and building a team of top-performing data technology professionals
Help with project planning and scheduling
Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams.