F&G

Associate Data Engineer

F&G

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

ETLInformaticaSQL

About the role

  • Support sourcing, transformation, and analysis by assisting senior team members in development, maintenance, and deployment of data pipelines and ETL logic
  • Assist in the sourcing, transformation, and analysis of data under the guidance of senior team members
  • Support the development of ETL logic and pipelines for existing and future deployments
  • Assist in the development and maintenance of data pipelines supporting a medallion architecture as part of the organization's data modernization initiatives
  • Participate in technical data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data
  • Collaborate with teammates and business partners to help build technical solutions that are reusable, scalable, and maintainable across large datasets
  • Develop and maintain working knowledge in data reporting, management, and transformation technologies
  • Actively learn new and existing tools, resources, and processes
  • Assist in the implementation of data architecture and solutions
  • Develop and deliver code under supervision to support existing and future deployments

Requirements

  • Bachelor's degree in technology, engineering, a math-related field, or a related discipline with 0 years of experience required; or an equivalent combination of education and experience
  • 0-2 years of experience working with data structures or in a related technical role
  • Introductory exposure to algorithm design
  • Some exposure to SQL Server, IDMC, Informatica PowerCenter, Snowflake, and/or Control-M
Benefits
  • Employee-centric flexible environment
  • In-office, hybrid and remote work arrangements
  • Compliance with federal and state disability laws
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLdata pipelinesdata transformationdata analysisdata cleansingdata visualizationalgorithm designdata architectureSQLdata management
Soft Skills
collaborationcommunicationproblem-solvingadaptabilityteamwork