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Data Analytics Engineer Jobs in Aurora, IL (NOW HIRING)

Photon

Analytics Architect | USA

Chicago, IL · On-site

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). Experience with GA4 ...

Photon

Analytics Architect | USA

Chicago, IL · On-site

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). Experience with GA4 ...

Pwc

Data Engineer - Senior Manager

Chicago, IL

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

MaximaTek

Data Analyst

Chicago, IL · On-site

Partner with product, business, and engineering teams to define key performance indicators (KPIs ... Bachelor's degree in Data Analytics, Computer Science, Statistics, Information Systems, Business ...

Armaninollp

Data & AI Platform Engineer

Chicago, IL · On-site

$118K - $141K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

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Showing results 41-60

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Aurora, IL

Data Analytics Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are popular job titles related to Data Analytics Engineer jobs in Aurora, IL?

For Data Analytics Engineer jobs in Aurora, IL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Aurora, IL look for?

The top searched job categories for Data Analytics Engineer jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Data Analytics Engineer jobs?

Cities near Aurora, IL with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

W2 role- Sr Data Analytics Consultant

Montek System

Chicago, IL • On-site

$88K - $111K/yr

Other

Posted 7 days ago

Job description

Senior Program Analyst – Data Analytics

Location: Chicago, IL Hybrid
Duration: Contract

Position Overview

We are seeking a Senior Program Analyst – Data Analytics to support the Data Analytics team as a hands-on developer, troubleshooter, data analyst, and technical liaison. This role requires strong experience in application development, SQL/RDBMS, data integration, web-based visualization, and production support.

The ideal candidate can develop and troubleshoot applications, work with relational databases, build data-driven dashboards, analyze technical issues, and communicate effectively with both technical and business stakeholders.

Key Responsibilities

Hands-On Development & Configuration

Technical Troubleshooting & Problem Resolution

Data Analytics & SQL/RDBMS

  • Perform data sourcing, transformation, validation, and modeling.
  • Develop complex SQL queries for data analysis and reporting.
  • Work with relational databases such as PostgreSQL, Oracle, SQL Server, or comparable platforms.
  • Support database design, data integration, ETL processes, and data quality activities.

    Required Qualifications

    • Hands-on software development and application configuration experience in a production environment.
    • Strong SQL and RDBMS experience.
    • Experience with PostgreSQL, Oracle, SQL Server, or comparable relational databases.
    • Experience with data sourcing, transformation, modeling, ETL, and data integration.
    • Front-end development experience using HTML, JavaScript, CSS, or equivalent technologies.
    • Experience developing dashboards, reports, or data visualization solutions.
    • Strong troubleshooting and root-cause analysis skills.
    • Experience working with SDLC, software testing, UAT, deployment, and documentation.
    • Experience serving as a technical liaison or SME between technical teams and business stakeholders.

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