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Data Engineer Data Analyst Jobs in Naperville, IL

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 ...

Arsenault Inc

Data Analyst

Burbank, IL · Remote

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting ... Strong knowledge of and experience with reporting packages, databases, programming * Knowledge of ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Chicago, IL (some travel to McLean, VA maybe required) Duration: 7+ months Role Overview We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives.

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 ... Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ...

Collabera

Data Analyst

Chicago, IL

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

Dlapiper

Data Engineer

Chicago, IL

$118K - $141K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Ask IT consulting

Data Analyst

Chicago, IL

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or ... Experience in developing functional specifications for business process refinement, re-engineering ...

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 ... Analyze data structures and sources to define transformation logic and ensure data quality and ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Analyze data structures and sources to define transformation logic and ensure data quality and ...

Pwc

Data Engineer - Senior Manager

Rosemont, IL · On-site

$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 ...

Contact Government Services, LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

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 ...

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

BI Development & Data Engineering * Design, develop, and maintain dashboards and reports for HR, Talent Acquisition, and FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI) * Build ...

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Showing results 21-40

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Naperville, IL

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 Aug 10, 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.

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.

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 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 job categories do people searching Data Engineer Data Analyst jobs in Naperville, IL look for? The top searched job categories for Data Engineer Data Analyst jobs in Naperville, IL 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:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Naperville, IL as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 75% In-person, 10% Hybrid, and 15% Remote job distribution, with an average salary of $82,517 per year, or $39.7 per hour.

Data Engineer

CP00001 Washington University in St Louis

Chicago, IL • Hybrid

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. For more information, please visit HAVI.com.

Architect, design, implement, enhance, and maintain highly scalable, available, secure, and elastic cloud-ready data solutions using cutting-edge technologies to support our predictive and prescriptive analytics needs. Be an expert in our data domains, act as a trusted partner and advisor to solutions architects and data scientists and become a crucial part of the analytics solution lifecycle - from prototype to production and operations of our data science and advanced analytics solutions in areas such as promotions, supply and demand planning, item/menu level analytics, supply chain simulations, and optimization, competitive benchmarking, and root cause analysis. Continuously improve and advance our data solutions. 

This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.

Responsibilities:

  • Responsible for working with the data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimization
  • Develop/refine the data requirements, design/develop data deliverables, and optimize data pipelines in non-production and production environments
  • Design, build, and manage/monitor data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business
  • Integrate analytics and data science output into business processes and workflows
  • Build and optimize data pipelines, pipeline architectures, and integrated datasets. These should include ETL/ELT, data replication/CI-CD, API design, and access
  • Work with and optimize existing ETL processes and data integration and preparation flows and help move them to production
  • Work with popular data discovery, analytics, and BI and AI tools in semantic-layer data discovery
  • Adept in agile methodologies and capable of applying DevOps and DataOps principles to data pipelines to improve communication, integration, reuse, and automation of data flows between data managers and data consumers across the organization
  • Implement Agentic AI capability to drive efficiency and opportunity

Qualifications:

  • Bachelor's degree in computer science, data management, information systems, information science or a related field; advanced degree in computer science, data management, information systems, information science or a related field preferred.
  • 3+ years in data engineering building production data pipelines (batch and/or streaming) with Spark on cloud.
  • 2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake) including:
    • Delta Lake operations (MERGE/CDC, OPTIMIZE/Z-ORDER, VACUUM, partitioning, schema evolution).
    • Unity Catalog (RBAC, permissions, lineage, data masking/row-level access).
    • Databricks Jobs/Workflows or Delta Live Tables.
  • Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault.
  • Strong SQL across large datasets; performance tuning (joins, partitions, file sizing).
  • Data quality at scale (e.g., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks.
  • DevOps for data: Git branching, code reviews, unit/integration testing (pytest/dbx), CI/CD (Azure DevOps/GitHub Actions).
  • Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage.
  • Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs.
  • Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products.

Dimensions & Stakholders:

  • Content scope: Data engineering, data modeling, Agentic AI and automation, and data solution operationalization
  • Geographical Scope: Global
  • Stakeholders & Networks: Analytics and Insights, DevOps, Product Management, Technology
  • Working model: Individual contributor, collaborates with cross-functional team within global planning and analytics

*Starting Salary is $100,000-$115,000 with a 5% targeted bonus  

 

TOTAL REWARDS

Our total rewards philosophy integrates programs for compensation, benefits, recognition, learning and development, corporate culture, corporate citizenship and work-life balance. While individual program components may differ by country, some things remain constant:

  • Our commitment to rewarding results
  • Opportunities to work with talented and driven individuals at every level of our company who respect each other, treat each other fairly and hold one another accountable for our customers'-and our company's-success

There's more ...

Inclusive employee resource groups

Generous medical, dental, vision and other great benefits

Paid parental and medical leave programs

401(k) with a company match component and profit sharing

15 days of paid time off plus company holidays

Hybrid work model with flexibility

Tuition reimbursement and student loan repayment assistance

EQUAL OPPORTUNITY EMPLOYER

We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

RECRUITING AGENCIES

HAVI does not accept agency resumes submitted by third-party vendors unless a valid agreement has been signed and the HAVI Talent Acquisition Team has granted authorization for submissions for a specified position. Please do not submit or forward resumes to our site, HAVI employees, or any other company location. HAVI is not responsible for any fees related to unsolicited resumes.

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