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

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

Romeoville, IL · On-site

$96 - $134/hr

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+ ...

New

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

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

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 · Hybrid

$125K - $140K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... A Data Engineer builds or maintains data management systems, such as databases and data pipelines ...

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... A Data Engineer builds or maintains data management systems, such as databases and data pipelines ...

Data Engineer

Chicago, IL · On-site

$175 - $225/hr

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

New

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 ...

GCP Data Engineer

Chicago, IL · Hybrid

$100K - $151K/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 ...

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)

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)

Data Engineer

Chicago, IL · On-site

$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

Elk Grove Village, IL · On-site

$113K - $135K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

New

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... with data management, including data governance, data security, master data management, and ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... with data management, including data governance, data security, master data management, and ...

Showing results 21-40

Data Engineer Manager information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do data engineer manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer manager in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Aurora, IL?

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

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

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

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

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

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

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

Infographic showing various Data Engineer Manager job openings in Aurora, IL as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 9 days ago


Job description

Job Description:

Key Responsibilities

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake
Build and optimize ELT/ETL processes for structured and unstructured data ingestion into the Data Lakehouse
Implement scalable ingestion patterns (batch and event-driven) from internal systems, third-party APIs, and cloud sources
Develop data models (bronze, silver, gold layers) to support enterprise reporting, analytics, and downstream consumption
Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms
Design and implement data access controls, identity management, and secure data sharing mechanisms
Support API-based integrations and downstream data consumption patterns
Data Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and monitoring within Databricks pipelines
Ensure adherence to enterprise data governance standards, including lineage, metadata, and audit requirements
Support regulatory and compliance requirements (e.g., data integrity, privacy, and security controls)
Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M)
Automate data pipelines, deployments, and operational processes through CI/CD pipelines
Leverage cloud-native services (AWS/Azure) for data processing, storage, and event-driven architectures
Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and reliability
Support production data platforms, including incident resolution and root cause analysis
Ensure high availability, data integrity, and SLA adherence across enterprise data systems
CollaborationPartner with data architects, data scientists, BI teams, and business stakeholders to deliver data solutions
Participate in Agile ceremonies and contribute to iterative delivery of data products
Translate business requirements into scalable technical data solutions

Required Qualifications

8+ years of experience in data engineering, data platforms, or related roles
Hands-on experience with Databricks, Apache Spark (PySpark), and Delta Lake
Strong SQL and data modeling skills (relational and dimensional)
Experience building and supporting data pipelines in a cloud environment (AWS or Azure)
Experience with ELT/ETL tools (e.g., Fivetran, custom ingestion frameworks)
Familiarity with data orchestration tools (Airflow, Control-M)
Experience working in Agile development environments
Preferred QualificationsExperience in financial services or regulated environments (e.g., banking, risk, regulatory reporting)
Knowledge of data governance frameworks and tools (e.g., Collibra)
Experience with real-time or streaming data pipelines
Exposure to machine learning pipelines and feature engineering in Databricks
Cloud certifications (AWS, Azure, or Databricks)
Technical SkillsDatabricks (Lakehouse architecture, notebooks, jobs, Unity Catalog)
Spark / PySpark
SQL (advanced querying and optimization)