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Data Engineer

Town & Country, Missouri | IT
Job ID: 106964
Listed on 6/8/2021

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.

Data Engineer

Job Summary: This person will be instrumental in the analysis, transportation, and storage of data leveraged by the Online Ordering department’s Reporting and Analytics team. Gaining access to new data sources, identifying relevant data points, determining data quality, migrating databases, optimizing ETL processes, creating data preparation workflows, developing stored procedures, and updating scripts are all examples of this engineer’s day-to-day efforts. Opportunities to assist in report development and UI development will also be available.


  • Improve time to market by enhancing current ETL processes and data preparation workflows
  • Design and develop solutions to support ingestion, provisioning and visualization of complex enterprise data to achieve analytics, reporting, and data science goals
  • Analyze data and system issues to design and implement effective, extensible solutions
  • Setting up applications and data structures, and integrating with internal and external applications and data structures using ETL jobs and REST services
  • Support end-to-end development of departmental self-service applications, including designing, coding, testing, debugging, and deploying changes
  • Provide operational support of departmental self-service applications, including change management, incident response, and documentation upkeep
  • Identify and recommend appropriate continuous improvement opportunities
  • Integrate into an Agile (Scrum-Ban) team within a SAFe framework
  • Actively participate in collaborative design and review sessions; pushing innovation while observing best practices

Desired Skills/Experience:

  • 2+ years in data engineering
  • 2+ years on a reporting/BI team 
  • Expertise in SQL and Python
  • Expertise using data manipulation tools such as Alteryx, Tableau Prep, Stitch, AWS Glue, and SSIS
  • Fluency using data visualization tools such as Tableau, Informatica, Spotfire, and PowerBI is a plus
  • Experience working with structured and unstructured data
  • Application development using Python frameworks such as Flask or R frameworks such as Shiny experience is a plus
  • Experience with system and application administration within Linux is a plus