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Weekend Data Engineer Government Jobs in Chicago, IL

Wonder Group, Inc.

Senior Data Analyst

Chicago, IL · On-site

$149K - $157K/yr

Partner with the central data and data engineering teams to ensure the accuracy and availability of ... federal government's E-Verify program to confirm employment eligibility. If you need an ...

Wonder Group LLC

Senior Data Analyst

Chicago, IL

$149K - $157K/yr

Partner with the central data and data engineering teams to ensure the accuracy and availability of ... federal government's E-Verify program to confirm employment eligibility. If you need an ...

Derex Technologies, Inc.

AI Engineer

Chicago, IL · On-site +1

... federal Government agencies. Job title: AI Engineer Location : Chicago, IL - Remote ... Additionally, expert proficiency in Google Cloud Data Services, Database Management, Front-End ...

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Showing results 21-40

All JobsData Engineer Government JobsWeekend Data Engineer Government JobsWeekend Data Engineer Government Jobs in Chicago, IL

Weekend Data Engineer Government information

See Chicago, IL salary details

$62.3K

$125.8K

$172.6K

How much do weekend data engineer government jobs pay per year?

As of Aug 6, 2026, the average yearly pay for weekend data engineer government in Chicago, IL is $125,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $144,200.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Engineer Government jobs in Chicago, IL? The most popular types of Data Engineer Government jobs in Chicago, IL are:
Weekend Data Engineer Government jobs near you

Data Architect

Government Systems Technologies Inc. (GSTi)

Chicago, IL • On-site

$65.75 - $84.50/hr

Other

Posted 9 days ago

Job description

Job Title: Data Architect
Location: Chicago, Illinois
Contract
Primary Skills: Databricks Data platform, PySpark, AWS :
Architect - Data Experience 13+ Years to work at the client place in Chicago,
Key Responsibilities.
  • We are seeking an experienced Architect - Data with 13+ years of experience in designing and delivering enterprise-scale cloud data platforms.
  • The ideal candidate should possess strong hands-on expertise in AWS, Databricks, and PySpark, ETL, DLT with the ability to lead technical solutioning, mentor engineering teams, and collaborate with client stakeholders to deliver scalable, secure, and high-performance data solutions.
  • Lead design and development of GenAI and Agentic AI solutions aligned with business objectives.
  • Understand client requirements and translate them into scalable technical solutions.
  • Drive architecture discussions, solution design, and technical strategy with stakeholders and clients. Collaborate with cross-functional teams to deliver AI-driven products and platforms.
  • Provide technical leadership, mentoring, and guidance to development teams.
  • Design and implement enterprise-scale data platform solutions using AWS, Databricks, and PySpark.
  • Ensure best practices in AI/ML architecture, integration, security, and scalability.
  • Define architecture, coding standards, and best practices for data engineering solutions.
  • Collaborate with Product Managers, Engineering Managers, Scrum Masters, and Technical Leads to achieve sprint and milestone commitments.
  • Lead architecture discussions, technical design reviews, and solution walkthroughs with client stakeholders.
  • Provide technical guidance to engineering teams and resolve complex technical challenges.
  • Ensure compliance with enterprise security, governance, and data management standards.
  • Mentor engineers and promote engineering excellence across the project.
  • Strong hands-on, experience in AWS, Databricks, PySpark, ETL, and Delta Live Tables (DLT).
  • Good understanding of modern data lakehouse architecture. Experience in data modeling, orchestration, and pipeline optimization.
  • Strong communication and stakeholder management skills. Ability to lead client discussions and provide solution-oriented approaches.
  • Experience in Agile delivery and team leadership. Strong experience in Generative AI, LLMs, AI Agents, and orchestration frameworks.
  • AWS, Databricks Architect, TOGAF Certification,..

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