Sr Engineer, Big Data
Molina Healthcare
 Long Beach, CA

The Sr. (Foundational) Big Data Engineer Role

The Sr. Big Data Engineer plays a critical role in the construction, maturation and optimization of the foundational components of the big data platform, especially data pipelines. He/she scales the agnostic framework to meet the rapidly-growing, ever-changing business analytics needs of the business, including the migration of the data platform from on-prem to Azure and integration of acquired systems and data. Although the Sr. Big Data Engineer is frequently advisory, consultative and instructive, the role requires daily hands-on involvement.

Responsibilities

Engineers and optimizes data pipelines

  • Leads the review, operationalization and optimization of data engineering pipelines
  • Sets best practices and guidelines for building and maintaining data engineering pipelines
  • Collaborates with the delivery leads to review and guide day-to-day operations of foundational tools and data movement as driven by tactical and strategic priorities
  • Collaborates with the BI teams to implement end to end solutions, that include front end tools for data visualization and reporting and applications
  • Mentors and trains data developers on the data engineering pipelines

Leads the evaluation, selection and integration of technologies and tools

  • Evaluates opportunities with emerging technologies (e.g. Data Bricks, Polybase, Azure tools) and the untapped potential of the existing data platform components (e.g. Nifi, Kafka)
  • Advises on, and participates in the integration of new systems (Cloudera on Azure, CDP/CDH upgrade, Amazon Redshift) and subsequent data integration
  • Collaborates with Platform Engineering and Application Architects to implement, test and sign-off on new core platform services and third party tools (e.g. Ranger, Blue Talon, Atlas)
  • Collaborates on the implementation of advanced analytic solutions and tools driven by business use cases (e.g. data science using Python, Spark ML)
  • Collects feedback on current data infrastructure gaps and opportunities for improvement and presents engineering solutions to the architecture review team and influences their decisions to adopt best-path solutions
  • Provides input and feedback to support continuous improvement in team processes
  • Mentors and trains data developers on new technology, tools and best practices

Job Qualifications

Qualifications

  • 10 years in data engineering or data architect roles
  • 3 years hands-on experience with Azure or AWS big data technologies (Hadoop, Spark, Impala, Nifi, Kafka, Zookeeper.)
  • Expert level understanding of data lake fundamentals
  • Technical proficiency with data integration and data lake design patterns
  • Strong communication, collaboration, and multi-tasking abilities
  • Experience with Agile methodologies
  • Healthcare experience preferred
  • Consultant experience preferred
  • B.S. in Computer Science

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.