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Lead Data Engineer Jobs in Illinois (NOW HIRING)

Lead Data Engineer

Virginia, IL · On-site

$150 - $165/hr

We are seeking a senior Lead Data Engineer as a Key Personnel for a bid opportunity to lead data pipeline engineering, operations, performance, migration, and integration activities supporting an ...

New

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

Role Description We are seeking a Lead Data Engineer to drive the design, architecture, and delivery of scalable data platforms, AI-powered data products, and enterprise-grade data services. This ...

Lead Data Engineer

Chicago, IL · On-site

$125K - $207K/yr

As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. Our developers use Databricks (Spark, SQL, PySpark), Databricks ...

Lead Data Engineer

Chicago, IL · On-site

$125K - $207K/yr

As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. Our developers use Databricks (Spark, SQL, PySpark), Databricks ...

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

Role Description We are seeking a Lead Data Engineer to drive the design, architecture, and delivery of scalable data platforms, AI-powered data products, and enterprise-grade data services. This ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Hybrid At least 2 days per week in office in Chicago, IL Our client seeks a Lead Data Engineer to design, build, and optimize large-scale data processing for attribution, measurement, forecasting ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer

Chicago, IL · On-site

$209 - $239/hr

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

New

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

This role reports to the Engineering Director and collaborates closely with fellow data engineers, product managers, and partner teams. You will participate in design reviews, code reviews, and the ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

This role reports to the Engineering Director and collaborates closely with fellow data engineers, product managers, and partner teams. You will participate in design reviews, code reviews, and the ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

This role reports to the Engineering Director and collaborates closely with fellow data engineers, product managers, and partner teams. You will participate in design reviews, code reviews, and the ...

Showing results 21-40

Lead Data Engineer information

See Illinois salary details

$41.2K

$120K

$174.9K

How much do lead data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for lead data engineer in Illinois is $119,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are the most commonly searched types of Lead Data Engineer jobs in Illinois?

The most popular types of Lead Data Engineer jobs in Illinois are:

What job categories do people searching Lead Data Engineer jobs in Illinois look for?

The top searched job categories for Lead Data Engineer jobs in Illinois are:

What cities in Illinois are hiring for Lead Data Engineer jobs?

Cities in Illinois with the most Lead Data Engineer job openings:

Infographic showing various Lead Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,950 per year, or $57.7 per hour.

Lead Data Engineer

SHR Consulting Group

Virginia, IL • On-site

$150 - $165/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Key responsibilities

  • Lead technical delivery for FEMA data pipeline engineering, operations, performance, and migration.

  • Design, construct, test, deploy, and maintain scalable batch and streaming data pipelines.

  • Diagnose and resolve production pipeline failures and complex data-storage issues.


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Bluemont, VA, US

2 days ago Requisition ID: 1507

Salary Range: $150,000.00 To $165,000.00 Annually

SHR Consulting Group, LLC is a small business delivering enterprise IT, cybersecurity, and program management services to the Department of Defense and federal civilian agencies. We support mission-critical infrastructure at the Pentagon and across the National Capital Region, and we invest in our people through competitive compensation, professional certification support, and long-term career growth on stable, multi-year programs.

We are seeking a senior Lead Data Engineeras a Key Personnel for a bid opportunity to lead data pipeline engineering, operations, performance, migration, and integration activities supporting an enterprise FEMA effort.

This position is CONTINGENT UPON CONTRACT AWARD. Candidates selected for consideration must be willing to authorize the submission of their resume and qualifications in support of our proposal response.

Key Responsibilities

  • Lead technical delivery for FEMA pipeline engineering, operations, performance, and migration.
  • Design, construct, test, deploy, and maintain scalable batch and streaming data pipelines.
  • Build and maintain metadata-driven ingestion pipelines.
  • Implement robust schema evolution and data-processing patterns.
  • Diagnose and resolve production pipeline failures and complex data-storage issues.
  • Design pipelines consistent with FEMA's multi-zone/Medallion architecture.
  • Develop modular, parameterized, and reusable pipeline patterns.
  • Implement scalable ingestion and transformation solutions supporting increasing data volume, velocity, and concurrency.
  • Implement engineering practices for reliability and cost efficiency, including:
    • Incremental processing
    • Idempotent and restartable jobs
    • Partitioning
    • Storage/file-layout optimization
    • Compute right-sizing
  • Develop automated testing, data-quality validation, and deployment automation.
  • Diagnose schema drift, missing or late data, checkpoint/watermark failures, orchestration faults, and performance degradation.
  • Conduct root-cause analysis of significant or recurring production issues.
  • Support migration of legacy data, pipelines, reporting workloads, and dependencies.
  • Support source-system onboarding and integration using APIs, connectors, batch/file transfers, CDC, and custom integration patterns.
  • Provide technical leadership and mentoring to Senior Data Engineers and other engineering staff.

Required Qualifications

  • Extensive hands-on experience designing and developing enterprise data pipelines.
  • Demonstrated experience with Databricks or comparable cloud-based Lakehouse/data engineering platforms.
  • Strong experience with metadata-driven data ingestion frameworks.
  • Strong knowledge of schema evolution and enterprise data-processing patterns.
  • Demonstrated ability to troubleshoot live production pipeline failures.
  • Experience debugging complex data-storage and processing structures.
  • Experience designing batch and streaming pipelines.
  • Experience with cloud-based data engineering in Federal or similarly regulated environments.
  • Strong understanding of CI/CD, automated testing, data-quality validation, and deployment automation.
  • Experience with scalable data architectures and high-volume enterprise data environments.
  • Ability to provide hands-on technical leadership to engineering teams.

Highly Desired Technical Experience

  • Databricks
  • SQL
  • Python
  • Medallion/Lakehouse architectures
  • Structured Streaming or comparable streaming technologies
  • REST APIs and source-system integration
  • Change Data Capture (CDC)
  • CI/CD and Infrastructure/Deployment Automation
  • Data quality and observability tooling
  • Git/version control
  • FinOps and cloud performance optimization

Preferred Qualifications

  • Prior FEMA or DHS experience.
  • Experience migrating legacy Federal data environments to modern cloud data platforms.
  • Experience supporting data platforms used for AI/ML and Retrieval-Augmented Generation (RAG).
  • Experience engineering feature pipelines, curated AI datasets, vector/embedding data stores, or AI data products.
  • Experience with Federal security requirements including NIST, FISMA, FedRAMP, and DHS 4300A.

Clearance Requirements

  • Must be able to obtain and maintain the Government-required suitability/fitness determination and IT access authorization.
  • Competitive salary commensurate with experience.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) with company contribution.
  • Paid time off and eleven federal holidays.
  • Certification reimbursement and training support.
  • Life and disability insurance.

SHR Consulting Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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