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

Green Thumb Industries INC

Data Engineer

Chicago, IL · On-site

$95K - $115K/yr

Data Engineer Chicago, Illinois, United States The Role You'll sit within the Data & Analytics organization, working at the foundation of everything we build with data. You'll design and maintain the ...

Apexon

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

We enable #HumanFirstDIGITAL Data Engineer Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem ...

Damco

Data Engineer

Lisle, IL · On-site

$112K - $135K/yr

Data Engineer Exp.: 8+ years * Experience working with Datastage, ETL * Azure certification, leverage various Azure data services and frameworks to store and produce cleansed and enhanced datasets ...

The Hartford

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 company that goes well beyond coverages and policies. Working here means having every opportunity to ...

LINDSAY PRECAST MASTER

DATA ENGINEER

Chicago, IL · On-site

$77K - $128K/yr

The Data Engineer is responsible for building and maintaining the data infrastructure that powers financial reporting, analytics, and operational decision-making across the Lindsay Family of Brands.

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 ...

LINDSAY PRECAST MASTER

DATA ENGINEER

Chicago, IL

$118K - $141K/yr

The Data Engineer is responsible for building and maintaining the data infrastructure that powers financial reporting, analytics, and operational decision-making across the Lindsay Family of Brands.

Procyon TS

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Education • Bachelor's degree in computer programming or a relevant field. Technical Skills • Expert knowledge of logical data modeling and physical data modeling. • Expert knowledge ...

Damco Solutions

Data Engineer

Lisle, IL · On-site

$112K - $135K/yr

Need Locals (nearby location candidate can relocate and start day1 onsite) Day 1 onsite MFG domain exp. minimum 1 year LISLE, IL Data Engineer Exp.: 8+ years * Experience working with Datastage, ETL ...

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 ...

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 ...

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 ...

USM

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title: Sr. Data Engineer Experience: 6-10 Year Location: Chicago, Illinoi We are seeking a highly skilled Sr. Data Engineer with 6-10 years of experience to join our team in Chicago, Illinois.

Ampcus

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title: Sr. Data Engineer Location(s): Chicago, IL ( Hybrid) Key Skills: AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data ...

Next Step Systems LTD

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.

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 ...

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Showing results 1-20

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 Jun 23, 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 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 job categories do people searching Data Engineer jobs in Park Ridge, IL look for? The top searched job categories for Data Engineer jobs in Park Ridge, IL 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
Data Engineer

Data Engineer

Green Thumb Industries INC

Chicago, IL • On-site

$95K - $115K/yr

Other

Posted 22 days ago

Green Thumb Industries rating

7.2

Company rating: 7.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

5th of 29 rated cannabis dispensaries

Job description

Data Engineer

Chicago, Illinois, United States

The Role

You'll sit within the Data & Analytics organization, working at the foundation of everything we build with data. You'll design and maintain the pipelines, infrastructure, and systems that make clean, reliable data possible so that analysts, engineers, and business stakeholders can trust what they're looking at. You won't just move data; you'll shape how the company accesses it.

This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North.

Responsibilities
  • Build, implement, and maintain robust ETL/ELT pipelines that power reliable, timely data delivery across the organization
  • Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers
  • Design and maintain scalable data infrastructure and data models that support efficient storage, retrieval, and transformation
  • Translate technical and functional requirements into detailed pipeline designs and automation workflows
  • Prepare raw data into clean, consumable datasets for both technical and non-technical stakeholders
  • Uphold data accuracy, integrity, privacy, security, and compliance across all systems you touch
  • Provide limited on-call after-hours critical support on a rotating schedule with the
Qualifications
  • 2+ years of experience in data engineering, software engineering, or a related field
  • Proficiency in SQL scripting and advanced database concepts, with hands-on experience working with large datasets
  • Experience with Python for scripting, automation, and data processing workflows
  • Familiarity with ETL tools and frameworks such as Fivetran, and experience with Snowflake for data warehousing
  • Understanding of cloud computing (AWS) and data security best practices
  • Understanding of CI/CD practices and experience working in Git
  • A collaborative attitude and the ability to work across teams to solve complex data challenges
  • Strong critical thinking and problem-solving skills, paired with a genuine curiosity for how data systems work
  • The ability to work within a team to foster connectedness
Additional Requirements
  • Must pass any and all required background checks
  • Must be and remain compliant with all legal or company regulations for working in the industry
  • Must be a minimum of 21 years of age

The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance.

Green Thumb Pay Range

$95,000 - $115,000 USD

What Green Thumb Industries employees say

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