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Data Engineer Jobs in Niles, IL (NOW HIRING)

hightower

Data Engineer

Chicago, IL · Hybrid

$100K - $115K/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 ...

1872 Consulting

Remote Data Engineer

Oak Brook, IL · Remote

$115K - $138K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data ...

Cesco

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 ...

McDonald's

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data Clean Room data ingestion, curation, and analytics . This role sits within Product Engineering & Delivery under Data Clean rooms team and ...

New

1872 Consulting

Remote Data Engineer

Oak Brook, IL · Remote

$115K - $138K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and ...

Reply

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 using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Reply

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 using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Alpha Consulting Corp. is seeking a highly skilled MLOps Engineer / Python Developer with expertise in building and maintaining scalable data and machine learning pipelines. The role involves ...

The Hartford

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

The Hartford

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

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Visa ...

TransMarket Group

Junior Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Description Our Data Engineering team designs, builds, and supports the data systems that power our proprietary trading business. This smaller, focused team works closely with software developers ...

New

Reply

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 using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Visa ...

Contact Government Services, LLC

Data Engineer

Chicago, IL · On-site

$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 ...

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 ...

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.

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Niles, IL

Data Engineer information

See Niles, IL salary details

$44.3K

$129.1K

$176.7K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Niles, IL is $129,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,900.00 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

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Niles, IL as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $129,109 per year, or $62.1 per hour.

Data Engineer

hightower

Chicago, IL • Hybrid

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Key responsibilities

  • Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub Actions.

  • Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are well-structured, documented, and ready for analytics and regulatory reporting.

  • Provide on-call and production support for pipeline failures, diagnosing issues and driving them to resolution.

Job description

Our Story

Founded in 2008, Hightower is a wealth management firm that provides investment, financial and retirement planning services to individuals, foundations and family offices, as well as 401(k) consulting and cash management services to corporations. Hightower’s capital solutions, operational support services, size and scale empower its vibrant community of independent-minded wealth advisors to grow their businesses and help their clients achieve their financial vision. Based in Chicago with advisors across the U.S., we operate as a registered investment advisor (RIA).

 

Your Future Team

The Senior Associate, Data Engineer, reporting to the Managing Director, Software Engineering, builds and maintains the data pipelines and infrastructure that power business operations, analytics, and decision-making across Hightower. 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 and run the business. You will work closely with data scientists, analysts, and engineers across the firm to deliver reliable, well-modeled data into Snowflake and our operational data stores.

 

What You’ll Do

  • Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub Actions.
  • Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are well-structured, documented, and ready for analytics and regulatory reporting.
  • Provide on-call and production support for pipeline failures, diagnosing issues and driving them to resolution with appropriate urgency.
  • Continuously improve data quality, reliability, and performance across the platform, identifying and addressing root causes rather than symptoms.
  • Collaborate across departments to understand business requirements and translate them into durable, maintainable engineering solutions.
  • Participate in code reviews, testing, and documentation of data workflows

 

What You’ll Bring

  • A bachelor's degree in information technology, data, artificial intelligence, or a related field.
  • 2-4 years of experience building and operating data pipelines in a professional environment.
  • Proficiency in Python, SQL, Snowflake, dbt, and Mulesoft.
  • A curiosity-driven, self-directed approach — comfortable digging into unfamiliar systems and figuring things out without hand-holding.
  • Strong collaboration skills with non-engineers, including analysts, data scientists, and business stakeholders.
  • A sharp attention to detail and a data accuracy mindset — you treat correctness as a first-class concern.

 

What We Offer

  • Coverage on the first day of employment for medical, dental, and vision insurance
  • Paid parental leave (16 weeks for primary caregiver and 8 weeks for secondary caregiver)
  • Mother’s lounge onsite
  • Flexible PTO plan
  • In-office Monday through Thursday and work from home on Fridays
  • Free brand-new gym in the Chicago office
  • 401k matching plan
  • HSA employer contributions
  • Student loan assistance
  • Pet insurance
  • Base salary of $100,000-$115,000 plus discretionary bonus (exact base salary amount will be dependent on experience)

AN EQUAL OPPORTUNITY EMPLOYER: Hightower is an equal opportunity employer and does not discriminate based upon race, color, religion, sex, sexual orientation, pregnancy, marital status, national origin, citizenship, veteran status, ancestry, age (over 40), physical or mental disability, medical condition (cancer-related), gender identity or expression, genetic information including sickle cell or hemoglobin C trait, or any other consideration made unlawful by applicable federal, state, or local law.

You are a U.S. citizen, U.S. permanent resident or possess other unrestricted U.S. work authorization and will not require sponsorship for U.S. work authorization now or anytime in the future.

 

 

 

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