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Data Warehouse Software Engineer Jobs in Chicago, IL

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Minimum of 5+ years of experience in data engineering, analytics engineering, or software ... Experience working with a modern data warehouse/lakehouse (e.g., Microsoft Fabric One Lake ...

ZS

Senior Software Engineer, Zaidyn

Chicago, IL · On-site

$117K - $128K/yr

Senior Software Engineer in the Platforms and Products will... As a Software Engineer at ZS ... Deep expertise in RDBMS like Postgres, or expertise in Data Warehouse systems * Nice to have:

Georgia IT, Inc.

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Data Warehouse. • Implement data processes using Azure Functions and Python. • Utilize ... • Mentor junior engineers and ensure adherence to best practices in all data projects.

MMD Services, Inc

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Own enterprise-scale data pipelines and cloud data warehouse solutions from design to deployment ... Mentor less experienced engineers and help set team priorities, leadership here is earned through ...

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... warehouse design, dimensional modeling, or analytical data models. • Knowledge of software ... Science, Engineering, or a related field--or equivalent training and project experience. Company

Talent Management Plus, Inc.

Data Architect (42125)

Chicago, IL · On-site

$65.75 - $84.50/hr

... software engineering principles * Sound understanding of CI/CD, infrastructure engineering and building future ready technology solutions * Experience with building data warehouses, marts, business ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data ... warehouse environments using MSSQL and cloud- native platforms. • Implement ETL/ELT best ...

Alliant Credit Union

Lead Data Engineer

Chicago, IL · On-site

$106K - $182K/yr

Collaborate with development and strategy teams on component and software vendor services in the ... Minimum - 5 Years Data warehouse, data lake, cloud technology or related In Lieu of Education * 8 ...

Alliant

Lead Data Engineer

Chicago, IL · On-site

$106K - $182K/yr

Collaborate with development and strategy teams on component and software vendor services in the ... Minimum - 5 Years Data warehouse, data lake, cloud technology or related In Lieu of Education * 8 ...

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Showing results 21-40

All JobsData Warehouse Software Engineer JobsData Warehouse Software Engineer Jobs in Chicago, IL

Data Warehouse Software Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data warehouse software engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data warehouse software engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

Data Engineer

Romeoville, IL • On-site

Magid Glove & Safety
Manufacturing • 501 - 1,000 employees
Learn more about Magid Glove & Safetyexternal

$116K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Description
What Matters at Magid? YOU do!
"The number one key to growth is having good people and that's what has driven us at every stage of the game." - Greg Cohen, CEO
At Magid, we're not just passionate about safety-we're passionate about people. As an industry leader, we've built an innovative and collaborative environment where diversity is celebrated, ideas are valued, and personal and professional growth never stops.
Job Summary
The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work spans product sourcing, customer journeys, service delivery, sales workflows, and the platforms and SME's that support them. We have seen a drastic increase in adoption of the Data Engineer's services. We are embedding data culture into our DNA and are excited to add a new face to that mission.
Essential Responsibilities
  • Data pipelines and transformations (ingest, clean, vet, test, transform, publish)
  • Well-documented datasets and advanced semantic models that enable reporting and analysis
  • Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting
  • Datasets that support machine learning use cases with clear definitions
  • Incremental improvements to pipeline performance, cost, and reliability with guidance
  • Collaboration with partners to clarify requirements and iterate on data products
  • Partner in Data Discovery & Solution Shaping
  • Develop Power BI Solutions that are iterative while supporting our current ecosystem of analytics driven reporting
  • Learn source systems and data flows; help map entities, identifiers, and key business rules
  • Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)
  • Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and increase adoption

Build & Maintain Data Pipelines
  • Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
  • Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, Fabric Data Lake, KQL)
  • Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
  • Help monitor pipeline health and data quality; investigate variances and propose code enhancements to key datasets.

Contribute to a Strong Data Culture
  • Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
  • Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
  • Willingness to tackle obscure requests and find ways to solve cumbersome outdated workflows

How We Work
  • Empowered to solve problems, not just build features
  • Accountable for outcomes, not output
  • Collaborative by default, from discovery through delivery
  • Continuously learning, using data, AI/ML and customer insight to improve

Hybrid Work Schedule:Monday - Thursday onsite at our corporate office in Romeoville, IL; Fridays WFH.
Magid offers a variety of benefits to our team members including:
  • Health, dental, vision, life and disability insurance
  • Bonus plan
  • 401k retirement plan with company match
  • Company provided Profit Sharing
  • Participation in Magid Paid Time Off (PTO) Policy
  • 9 Paid Holidays

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Equivalent practical experience is equally valued
  • Strong SQL fundamentals (joins, aggregation, window functions, performance basics)
  • Data modeling mindset: Cares about clear definitions, grain, and making data usable
  • Pragmatic problem solving: Debugs issues, makes sensible tradeoffs, and knows when to ask for help
  • Ownership: Takes responsibility for assigned datasets/pipelines and follows through to production
  • Collaboration: Works effectively with product managers to deliver trusted data

Key Qualifications
  • Minimum of 5+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)
  • Ability to write production-quality SQL and create reliable transformations with attention to correctness
  • Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)
  • Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate
  • Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus

Preferred Qualifications
  • Experience working with a modern data warehouse/lakehouse (e.g., Microsoft Fabric One Lake, Snowflake, BigQuery, Databricks)
  • Exposure to data quality testing, monitoring, or observability concepts
  • Familiarity with data governance concepts (Row-Level-Security, Workspace Roles, etc)
  • Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)
  • Familiarity with modern engineering practices (CI/CD, testing, observability)

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