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Data Engineer Manager Jobs in Lisle, IL (NOW HIRING)

Data Engineer

Chicago, IL

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... identity management, and secure data sharing mechanisms Support API-based integrations and ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline * Experience in R (preferred), Python, and SQL * Experience in ingesting data from a ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Works effectively with product managers to deliver trusted data Key Qualifications * Minimum of 5+ ...

Data Engineer

Chicago, IL · On-site

$140K - $150K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... Your Future Team The Associate, Data Engineer, reporting to the Managing Director, Software ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Experience with monitoring tools such as PrometheGrafana, Alert Manager, Alerta and OpsGenie

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... Your Future Team The Associate, Data Engineer, reporting to the Managing Director, Software ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing ... engineering, data analysis or a similar role Proven experience in managing technical team and ...

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... data is discovered, governed, managed, and leveraged to drive business value. This is an ...

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Manage development, test, and production environments with focus on cost efficiency and reliability. * Own the firm's enterprise data warehouse and lakehouse platforms, including data models ...

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... managing complex SQL queries and data pipelines. · Configure and troubleshoot ADF connectors and ...

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... managing complex SQL queries and data pipelines. · Configure and troubleshoot ADF connectors and ...

Data Engineer

Chicago, IL

$46.07 - $68.64/hr

Other information: • Bachelor's Degree. • 5 years of experience. • Strong background in cloud computing, software engineering and data processing. • Data management experience. • Experience ...

Data Engineer

Chicago, IL

$105K - $126K/yr

Understanding of data governance, metadata management, and lineage using tools like Dataplex ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Understanding of data governance, metadata management, and lineage using tools like Dataplex ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Showing results 21-40

Data Engineer Manager information

See Lisle, IL salary details

$43.9K

$127.9K

$175K

How much do data engineer manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer manager in Lisle, IL is $127,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $135,600.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Lisle, IL?

The most popular types of Data Engineer jobs in Lisle, IL are:

What are popular job titles related to Data Engineer Manager jobs in Lisle, IL?

For Data Engineer Manager jobs in Lisle, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Lisle, IL look for?

The top searched job categories for Data Engineer Manager jobs in Lisle, IL are:

What cities near Lisle, IL are hiring for Data Engineer Manager jobs?

Cities near Lisle, IL with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Lisle, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $127,917 per year, or $61.5 per hour.

$100K - $115K/yr

Full-time

Re-posted 4 days ago


Job description

Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This is a hands-on role for an early-career engineer who takes pride in building things the right way-with testing, data quality, and reliability built in from the start, not bolted on later. You will work alongside senior engineers and analysts to ingest, transform, and deliver trustworthy data across the business. This role will be based out of the Excel Chicago office.

Role & Responsibilities:

  • Build, maintain, and optimize data pipelines that reliably ingest, transform, and export data from internal and external sources.
  • Write and maintain automated tests-unit, integration, and data-quality checks-to ensure pipelines and datasets are correct, complete, and trustworthy.
  • Develop Python-based data workflows and orchestration tasks following established team patterns.
  • Contribute to relational data design-tables and relationships, primary/foreign keys, and appropriate indexing-and deliver schema changes as version-controlled migrations.
  • Support the data lake and warehouse layer (S3, Athena/Glue, PostgreSQL/Aurora), helping keep schemas, models, and documentation accurate.
  • Contribute to CI/CD pipelines and containerized (Docker) workflows, ensuring changes are tested and deployed safely.
  • Investigate and resolve data and pipeline issues, and help improve monitoring so problems are caught early.
  • Provide production support for data pipelines during standard working hours.
  • Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean, documented solutions.

Education and Experience:

  • A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience.
  • 2+ years of professional experience in data engineering, software engineering, or a closely related role.

Required Qualifications:

  • Proficiency in Python and SQL, with hands-on experience building or maintaining data pipelines.
  • Demonstrated commitment to testing-writing unit and integration tests and validating data quality (e.g., pytest, schema/row-level checks, or similar).
  • Experience with OLTP (row-oriented) databases (PostgreSQL, MySQL, or equivalent).
  • Experience with OLAP (columnar) databases (Clickhouse, Redshift or equivalent).
  • Solid grasp of data modeling, indexing, and schema migrations.
  • Working knowledge of cloud environments (AWS preferred; GCP/Azure acceptable).
  • Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.
  • Exposure to AI/ML or Generative AI/LLM-driven solutions.
  • Awareness of data security, access controls, and observability/monitoring practices.
  • Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment.

Knowledge, Skills and Abilities:

  • Experience with Apache Airflow or other workflow orchestration tools.
  • Familiarity with Terraform or Infrastructure-as-Code.
  • Familiarity with event-driven or serverless architectures (e.g., S3/SQS-triggered pipelines, Lambda).
  • Experience building APIs or services to expose data (FastAPI, Flask, or similar).
  • Experience with BI tools (Power BI, Tableau).
  • Experience working in the sports industry and/or the agency world.
  • Strong interest in sports and sports analytics.
  • Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);

The pay range for this position is: $100,000 per year - $115,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.