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Data Engineer Jobs in Park Ridge, IL (NOW HIRING)

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required: SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

American Academy of Sleep Medicine

Data Engineer

Darien, IL · On-site

$100K - $110K/yr

Data Engineer (Mid-level) | Information Technology Location: Darien, IL (Hybrid - Local Candidates Only) Salary Range: $100,000 - $110,000 base salary + annual incentive bonus Travel: Minimal (up to ...

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

American Academy of Sleep Medicine

Data Engineer

Darien, IL · On-site

$100K - $110K/yr

Data Engineer (Mid-level) | Information Technology Location: Darien, IL (Hybrid - Local Candidates Only) Salary Range: $100,000 - $110,000 base salary + annual incentive bonus Travel: Minimal (up to ...

Grainger Businesses

Data Engineer

Lake Forest, IL · On-site

$95K - $158K/yr

As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for supporting the day-to-day operations of our data infrastructure, processes, and pipelines. This role ...

New

Grainger Businesses

Data Engineer

Lake Forest, IL · On-site

$95K - $158K/yr

Position Details:   As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for supporting the day-to-day operations of our data infrastructure, processes, and ...

New

Grainger Businesses

Data Engineer

Lake Forest, IL

$95K - $158K/yr

As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for supporting the day-to-day operations of our data infrastructure, processes, and pipelines. This role ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Scadea

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

Azure Data Engineer Location: Chicago, IL - must do one day week onsite Length: 6 months This will require an onsite interview or require the candidate to pick up their laptop in person Requirements ...

New

Optiver

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role ...

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with Trading experience to join its Data Infrastructure team, to help improve and extend the data platform.

Contact Government Services, LLC

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Contact Government Services, LLC

Data Engineer

Chicago, IL · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Optiver

Lead Data Engineer

Chicago, IL · On-site

$200K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Park Ridge, IL

Data Engineer information

See Park Ridge, IL salary details

$43.8K

$127.6K

$174.7K

How much do data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer in Park Ridge, IL is $127,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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What cities near Park Ridge, IL are hiring for Data Engineer jobs? Cities near Park Ridge, IL with the most Data Engineer job openings:
Data Engineer jobs near you
Data Engineer

Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 17 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)