Press Ganey-posted 5 months ago
$81,000 - $120,000/Yr
Full-time • Mid Level
Hybrid • Chicago, IL
1,001-5,000 employees

The Data Engineer III will design, develop, and support solutions to transport, store, and analyze data for our Unified Data Platform and multiple On-Prem data marts using Azure, Azure Databricks, and On Premises SQL Server extracting data from our source systems. Analyze, design, architect, develop and test software systems that simulate business processes and can be used to optimize and increase their efficiency, using various computer languages and Windows based platforms. Gather customer requirements and create high-level component level architecture and confer with personnel of organizational units involved to analyze current operational procedures, identify problems, oversee specific input, and output requirements. Format reports, write detailed description of user needs, program functions, and steps required to develop or modify computer programs. Review computer system capabilities, workflow, and schedule limitations to determine if requested program or program change is possible within existing system. Serve as key member in evolving and maturing our enterprise data strategy and capabilities at Press Ganey.

  • 2+ years experience with Azure data technologies (Databricks, Data Factory, Stream Analytics, Data Lake Storage, Synapse), on-premises Microsoft tools (SQL DB and SSIS)
  • 1+ years experience with SQL, Python, PySpark. Experience in Apache Spark
  • 1+ years experience with C#, PowerShell, and APIs
  • 2+ years experience with analytical solutions in relational databases such as MS SQL Server, Oracle, and DB2.
  • Experience in data modeling
  • Experience with Azure DevOps and GitLab
  • Proficient in creating CI/CD pipelines to track version changes, branch deployment
  • Proficient in integrating automatic unit tests into CI/CD process
  • Experience with developing automated job schedules using tools such as Tidal
  • Familiarity with data visualization tools such as Power BI
  • Bachelor’s degree in Computer Science, Management Information Systems, or related field
  • Minimum of 3 years Data Engineering experience in an enterprise environment
  • Excellent communication and collaboration skills
  • Strong analytical and problem-solving abilities
  • Experience with NoSQL databases and solutions such as data lakes, document-oriented databases, and graph databases a plus
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