Molina Healthcare Job - 34294518 | CareerArc
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Company: Molina Healthcare
Location: Long Beach, CA
Career Level: Mid-Senior Level
Industries: Healthcare, Pharmaceutical, Biotech

Description

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.

Qualifications
Job Qualifications

Required Education:
• Bachelors' Degree in Computer Science or equivalent experience.


Required Experience:

• 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.


Preferred Experience:
• Healthcare experience.

• Consultant experience.


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.

 


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