ZipRecruiter

Log In

1

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

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Collegis LLC

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

Collegis Education

Data Engineer

Oak Brook, IL

$115K - $138K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

Ascot Group

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

IMC

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 candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

IMC

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 candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

IMC B.V.

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 candidate is energized by working in a cutting‑edge environment that enables IMC to continue to be at ...

New

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Data Engineer What we are looking for: Aldridge is seeking an experienced and dedicated Data Engineer to join our talented and energetic team. The Data Engineer builds, maintains, and continuously ...

DeKalb Health

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-visibility role where your efforts will have impact on all levels of the organization. Our work ...

New

Magid Glove & Safety

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-visibility role where your efforts will have impact on all levels of the organization. Our work ...

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 ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming raw data into analysis-ready assets while working with modern cloud platforms. Responsibilities : • ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • Design and ...

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 ...

HUB

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

HUB International Limited

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

hightower

Data Engineer

Chicago, IL · Hybrid

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

Hightower

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

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 ...

previous pagenext page

Showing results 21-40

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 Sep 4, 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

What are popular job titles related to Data Engineer jobs in Park Ridge, IL?

For Data Engineer jobs in Park Ridge, IL, the most frequently searched job titles are:

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
Infographic showing various Data Engineer job openings in Park Ridge, IL as of August 2026, with employment types broken down into 83% Full Time, 9% Temporary, and 8% Contract. Highlights an 78% In-person, 8% Hybrid, and 14% Remote job distribution, with an average salary of $127,641 per year, or $61.4 per hour.

Data Engineer

Prolaio

Chicago, IL • On-site

$134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Who Are We?
Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.
This is precision cardiology, and we know it's within reach.
What Will You Do?
The Overview
We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that power advanced analytics and machine learning models. You'll work closely with data scientists, product teams, and other engineers to ensure that our data platform supports ongoing innovation. This role will report to the Lead Data Engineer. We would love to find someone in the Chicagoland area who can collaborate with the team in the office, but are also open to the right candidate in another location.
The Specifics
  • Data Lake Implementation: Develop, manage and operate data lakes on cloud platforms like Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
  • Automation and Scripting: Utilize Python or other scripting languages to automate data workflows, improve operational efficiency, and support machine learning models.
  • Data Pipeline Development: Use Dagster, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting.
  • Security and Compliance: Work inside a regulated SDLC. Ensure that all data processes adhere to security best practices, especially around PII and PHI, and maintain compliance with relevant regulatory standards.
  • Collaboration: Work closely with data scientists, product teams, and engineers to align data solutions with business and product needs.
  • Problem Solving: Tackle complex technical challenges and contribute to continuous improvement initiatives.

Why Prolaio?
  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that's never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.
  • Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure.
  • Data Warehousing: Hands-on experience with BigQuery, or with Databricks, Snowflake, Redshift or a comparable cloud warehouse.
  • Orchestration: Experience with Dagster, Airflow, Prefect or a comparable orchestrator.
  • Programming Skills: Proficiency in Python and SQL for data manipulation and automation.
  • Data Lakes: Experience with implementing and managing data lakes.
  • Communication Skills: Strong problem-solving, communication, and collaboration abilities.

Additional Qualifications (Nice to Haves)
  • Integration Experience: Building ingestion for third-party or clinical data sources, such as electronic data capture systems.
  • Healthcare Experience: Previous experience in the healthcare or pharmaceutical industry.
  • PII/PHI Knowledge: Understanding of managing data with privacy concerns and security measures.

Why You'll Love Working Here
  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life's unexpected moments.

Starting Salary is at $134,000.00 (Exact Compensation may vary based on skills, experience, and location)

Apply