Data Engineer

GoHealth   •  

Chicago, IL

Industry: Accounting, Finance & Insurance

  •  

Less than 5 years

Posted 63 days ago

This job is no longer available.

Qualifications

  • Live the GoHealth Culture and ensure it is represented within the team.
  • Design, develop and deploy optimal extraction, transformation, and loading of data from various GoHealth and external data sources.
  • Monitor, execute and report on all data pipeline tasks while working with appropriate teams to take corrective action quickly, in case of
  • issues.
  • Perform unit testing, system integration testing and assist with user acceptance testing.
  • Adapt data components to accommodate changes in source data and new business requirements.
  • Create and maintain documentation of the technical detail design, operational support and maintenance procedures for all data pipeline
  • tasks.
  • Ensure data quality and compliance with development, architecture, reporting, and regulatory standards throughout entire data pipeline.
  • Collaborate with the rest of the Data Engineering Team, subject matter experts and department leaders to understand, analyze, build and
  • deliver new data-related processes and/or reports.
  • Ability to work with the rest of the Data Engineering Team to cross-train and provide support for various data engineering tasks.

Qualifications

  • Bachelor’s Degree in computer science or equivalent experience required.
  • 2+ years of experience in the design and development of data pipelines and tasks.
  • Strong analytical and problem solving ability with strong attention to detail and accuracy.
  • Good understanding of data warehousing concepts and dimensional data modeling.
  • Hands-on experience with troubleshooting performance issues and fine tuning SQL queries.
  • Experience in Python including in modules/libraries such as pandas, numpy, Flask, scikit-learn, and sci-py.
  • Proven experience extracting data from structured data sources (SQL, Excel, CSV files, Couchbase) and unstructured data sources
  • (Splunk, log files) both on-premise and in the cloud.
  • Experience consuming data from web services, REST and SOAP, HTML, XML and JSON.
  • Knowledge of version control systems using Git, Bitbucket, SVN, or Team Foundation.
  • Ability to handle multiple tasks and adapt to evolving business and technical environments.
  • Self-starter with the ability to work independently, take initiative, and learn new skills.
  • Excellent written and oral communication skills, with the ability to articulate complex processes to individuals of varying technical abilities
  • Experience in software engineering practices is required.
  • Experience in Microsoft SQL Server, SSIS, SSRS, Power BI, or Azure is preferred but not required.
  • Familiar with other data warehouse platforms like AWS Redshift or AWS Data Pipeline.

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