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Data Engineer Jobs in Niles, IL (NOW HIRING)

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

Pioneer IT Systems LLC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Job Title: dbt / Data Engineer Location: Des Plaines, IL -- Hybrid Duration: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Industry: Healthcare ...

New

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 ...

SYSTEGRATION INC

Be Seen First

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 ...

Posted today

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 ...

SYSTEGRATION INC

Be Seen First

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 ...

Posted today

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.

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects. This position will require working with complex data sources and transforming it into something ...

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 ...

1872 Consulting

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

zure Data Engineer NYC, NY (Midtown) - hybrid WFH Summary s a crucial member of our Data and AI team, this role is pivotal in driving our data strategy and achieving our analytical goals. The ...

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 ...

NAVA Software Solutions

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential Functions: * Design, build, and support durable data ...

1872 Consulting

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

zure Data Engineer NYC, NY (Midtown) - hybrid WFH Summary s a crucial member of our Data and AI team, this role is pivotal in driving our data strategy and achieving our analytical goals. The ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$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 ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$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 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 Aug 12, 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 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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Niles, IL? The most popular types of Data Engineer jobs in Niles, IL are:
What job categories do people searching Data Engineer jobs in Niles, IL look for? The top searched job categories for Data Engineer jobs in Niles, IL are:
What cities near Niles, IL are hiring for Data Engineer jobs? Cities near Niles, IL with the most Data Engineer job openings:
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 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,109 per year, or $62.1 per hour.

Data Engineer

Excel Sports Management

Chicago, IL

$100K - $115K/yr

Full-time

Posted 26 days ago

Job description

Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve.

Excel Sports Management is an Equal Opportunity Employer (EOE).

Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This is a hands-on role for an early-career engineer who takes pride in building things the right way—with testing, data quality, and reliability built in from the start, not bolted on later. You will work alongside senior engineers and analysts to ingest, transform, and deliver trustworthy data across the business. This role will be based out of the Excel Chicago office.

Role & Responsibilities:

  • Build, maintain, and optimize data pipelines that reliably ingest, transform, and export data from internal and external sources.
  • Write and maintain automated tests—unit, integration, and data-quality checks—to ensure pipelines and datasets are correct, complete, and trustworthy.
  • Develop Python-based data workflows and orchestration tasks following established team patterns.
  • Contribute to relational data design—tables and relationships, primary/foreign keys, and appropriate indexing—and deliver schema changes as version-controlled migrations.
  • Support the data lake and warehouse layer (S3, Athena/Glue, PostgreSQL/Aurora), helping keep schemas, models, and documentation accurate.
  • Contribute to CI/CD pipelines and containerized (Docker) workflows, ensuring changes are tested and deployed safely.
  • Investigate and resolve data and pipeline issues, and help improve monitoring so problems are caught early.
  • Provide production support for data pipelines during standard working hours.
  • Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean, documented solutions.

Education and Experience:

  • A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience.
  • 2+ years of professional experience in data engineering, software engineering, or a closely related role.

Required Qualifications:

  • Proficiency in Python and SQL, with hands-on experience building or maintaining data pipelines.
  • Demonstrated commitment to testing—writing unit and integration tests and validating data quality (e.g., pytest, schema/row-level checks, or similar).
  • Experience with OLTP (row-oriented) databases (PostgreSQL, MySQL, or equivalent).
  • Experience with OLAP (columnar) databases (Clickhouse, Redshift or equivalent).
  • Solid grasp of data modeling, indexing, and schema migrations.
  • Working knowledge of cloud environments (AWS preferred; GCP/Azure acceptable).
  • Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.
  • Exposure to AI/ML or Generative AI/LLM-driven solutions.
  • Awareness of data security, access controls, and observability/monitoring practices.
  • Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment.

Knowledge, Skills and Abilities:

  • Experience with Apache Airflow or other workflow orchestration tools.
  • Familiarity with Terraform or Infrastructure-as-Code.
  • Familiarity with event-driven or serverless architectures (e.g., S3/SQS-triggered pipelines, Lambda).
  • Experience building APIs or services to expose data (FastAPI, Flask, or similar).
  • Experience with BI tools (Power BI, Tableau).
  • Experience working in the sports industry and/or the agency world.
  • Strong interest in sports and sports analytics.
  • Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);

The pay range for this position is: $100,000 per year - $115,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.

This position is not eligible for sponsorship.

Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.