Senior Engineer, Big Data - Payment Integrity/Reporting Analytics - Remote

Job Summary
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms. 

Reporting and analytics are very important for this position.  Payment integrity is also important.  Please update your resume with any relevant previous experience.  

Knowledge/Skills/Abilities

• Supports gathering data and requirements, and collaborates with business architects and internal support areas within Medicaid Information Technology Architecture (MITA) areas to support technical reporting needs.
• Creates reports to meet user requirements using Structured Query Language (SQL).
• Develops and implements reports with repeatable processes to satisfy Centers for Medicare and Medicaid Services (CMS), regulatory, health plan, functional area, and executive reporting requirements.
• Develops best practices for report development, report distribution and archiving that complies with federal and state statutes.
• Drives analytic engagement among interdepartmental customers including, but not limited to IT, finance, actuarial, claims, support center, utilization management, and clinical teams.
• Facilitates automation of recurring reports, data transformations, data imports, and data exports using Databricks SQL and Jobs; develops, implements and maintains automation schedules and strategies for coordinating health plan and functional area automation efforts.
• Oversees optimization of SQL queries, creation and tying of SQL indexes to improve efficiency and query performance; develops, implements and maintains indexing strategies on key analytic data sources, and develops and enforces standards for query runtime and efficiency.
• Implements database management policies for updating, reviewing, archiving, and removing database objects.

Job Qualifications

Required Education
Bachelor's Degree
Required Experience
• 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).

Preferred Education
Master's Degree

Preferred Experience
• 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.   
• Experience in the healthcare industry is preferred

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: $79,607.91 - $172,483.8 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

About Us

Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.