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Data Engineer Data Analyst Jobs in Naperville, IL

Data Engineer

Downers Grove, IL

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer, Data & AI Platforms Zeno Group is hiring its first dedicated data engineer. You'll ... You'll work daily alongside our Data & Intelligence (D&I) analysts on live, revenue-generating ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer, Data & AI Platforms

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Data & AI Platforms Zeno Group is hiring its first dedicated data engineer. You'll ... You'll work daily alongside our Data & Intelligence (D&I) analysts on live, revenue-generating ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... analytics, and downstream consumption Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms Design and implement data ...

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...

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Showing results 1-20

Data Engineer Data Analyst information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

How much do data engineer data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer data analyst in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

What are the key skills and qualifications needed to thrive as a Data Engineer/Data Analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Naperville, IL? For Data Engineer Data Analyst jobs in Naperville, IL, the most frequently searched job titles are:
What cities near Naperville, IL are hiring for Data Engineer Data Analyst jobs? Cities near Naperville, IL with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Naperville, IL as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $82,517 per year, or $39.7 per hour.
Data Engineer / Data Analyst Associate - Business Transformation

Data Engineer / Data Analyst Associate - Business Transformation

DuPont

Chicago, IL

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


DuPont rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

27th of 100 rated chemical manufacturers


Job description

Experience a 45X+ award-winning culture!

Embarkers enjoy:

  • Work-life integration: We encourage our team to balance work with personal life. 95% of our employees feel they can take time off when necessary

  • Growth and development: We offer continuous learning opportunities, including CPE credits and coaching, to support our employees' professional growth and ensure they execute excellently for clients

  • Award-winning culture: Recognized for our outstanding workplace environment, we prioritize the happiness and well-being of our team

Embark isn't your ordinary consulting firm. We're committed to cultivating a workplace where everyone can thrive-where happiness is at the core of our success. Where Happy Works. Our team is dedicated to solving complex problems for finance, accounting, HR, and technology leaders with forward-thinking solutions and unparalleled hospitality. Here are a few reasons why 93% of Embarkers agree that we offer special and unique benefits:

  • Unlimited PTO: Enjoy unlimited PTO to recharge and pursue your passions

  • Comprehensive healthcare: 100% paid premiums for you and your family

  • Whole human growth: $150 monthly stipend for holistic development

  • Career advancement: Access to CPE credits, learning platforms, coaching, and professional development

  • Financial support: Up to 3% 401(k) matching and financial advisory services

  • Team and community engagement: Monthly social events within your market, charitable matching, and great people!

What you'll be doing
This role will be instrumental in developing and maintaining scalable data infrastructures that are foundational for advanced analytics and data-driven decision-making. Working within Embark's Data & Analytics practice, this associate will support client engagements that span data strategy, integration, and reporting - often for clients with a strong finance and accounting orientation. This role is ideal for someone with a solid technical foundation in data architecture and engineering, who is eager to grow in a client-facing, consulting environment.

Key Responsibilities

  • Assist in designing, building, and maintaining efficient and reliable data pipelines using tools such as Fivetran, Snowflake, Azure Data Factory, and Databricks

  • Support the implementation of data management systems to meet business and technical requirements

  • Work collaboratively with data engineers and analysts to optimize data collection, transformation, and processing

  • Help build and maintain reports and dashboards (Power BI, Tableau) that translate raw data into client-facing insights, supporting the handoff from data engineering to business intelligence

  • Contribute to the integration of new data management technologies and software engineering tools

  • Help maintain data security and compliance according to industry standards

  • Participate in troubleshooting and resolving issues in data pipelines

  • Help evaluate and integrate new data management technologies, software tools, and AI-powered analytics and automation solutions to improve efficiency and insight generation

  • Communicate effectively with client stakeholders - including finance and accounting teams - to understand requirements and translate them into technical solutions

  • Support multiple client engagements simultaneously in a fast-paced, MVP-driven delivery model


Required Qualifications

  • Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related program

  • 0-2 years of relevant experience in a data engineering or analytics role; management consulting experience a plus

  • Proficiency in SQL

  • Experience with, or strong interest in, cloud data platforms such as Snowflake and Databricks

  • Familiarity with Microsoft data & analytics tools (Azure Data Factory, Azure Synapse, SQL Server) a plus

  • Experience with programming languages such as Python, Java, or Scala

  • Exposure to BI/visualization tools (Power BI, Tableau) preferred

  • Familiarity with or interest in AI/ML tools and their application to data analytics is a plus

  • Interest in or exposure to ERP and finance systems (e.g., NetSuite) a plus

  • Strong problem-solving abilities and a detail-oriented mindset

  • Excellent communication skills, with comfort engaging directly with client stakeholders

  • Ability to work effectively in a team and manage multiple priorities across engagements

What's in it for you:

  • We pay 100% of insurance premiums on medical, dental, and vision for you AND your family

  • Typical compensation range of $85,000- $95,000

  • We match 50% to 6% on our 401K

  • Fully paid parental leave for all new parents

  • Monthly stipend for whole human wellness

  • All the technology you'll need to be successful, the most advanced software, and accessories to ensure you get the job done in style

  • Monthly team outings (think: axe throwing, a trip to the State Fair, go-kart races, etc.)

In closing...

If this role sounds exciting, apply and let's start the conversation!


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Upon offer of employment, employees will be asked to submit to a background check and drug screen. Dependent on ongoing client requirements, employees may also be asked to submit to a drug screening and background check throughout employment.


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