Data Engineer Jobs in Chicago

Chicago's Data Engineer market currently offers 58 open roles, with a median midpoint salary of $145,000, reflecting steady demand across consulting, finance, and tech sectors. This positions the city as a robust hub for data professionals seeking mid-level opportunities that emphasize infrastructure and analytics. Leading the hiring charge are CapTech Consulting with six openings, Capital One with five, and 8451 with three, signaling aggressive expansion in data-driven projects—CapTech's volume points to consulting firms scaling ETL and pipeline capabilities, while Capital One's activity underscores banking's push for secure, scalable data systems. These employers' focus indicates that organizations prioritize candidates who can integrate modern tools into existing workflows, creating openings for those with proven implementation experience. Job postings most frequently demand skills in Python, SQL, and Snowflake, alongside Java, AWS, Databricks, data pipelines, ETL, and NoSQL—Python and SQL appear as foundational requirements for querying and scripting, while Snowflake highlights the need for cloud-based data warehousing expertise. For applicants, this means tailoring your profile to demonstrate hands-on proficiency in these areas, as roles favor versatile engineers who bridge traditional databases with cloud platforms. To stand out in this competitive pool, target applications to CapTech and Capital One first, customizing your resume with quantifiable examples of Python-SQL integrations or Snowflake migrations, and submit within 48 hours of posting to capitalize on the market's quick fill rates.