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Data Engineer Data Analyst Jobs in Chicago, IL (NOW HIRING)

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

Data Governance- Manager

Rosemont, IL · On-site

$99K - $232K/yr

... 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

This position will be responsible for the analysis, development, implementation, testing, and ... The Data Engineer will interface regularly with business partners across Underwriting, Operations ...

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases Engineer solutions using technologies such as PySpark ...

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 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 ... to support analytics and reporting use cases • Engineer solutions using technologies such as ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases * Engineer solutions using technologies such as PySpark ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Help our analysts and engineers build and optimize data pipelines to understand our large and ever-growing user base and make better decisions. * Implement data pipelines to automate the ingestion ...

Senior Data Analyst

Chicago, IL · On-site

$40 - $55/hr

Senior Data Analyst Location: Chicago, IL 60661, USA HyBrid Model/Remote - Must Live in Chicago ... Create quality technical specifications as required for Data Engineers and BI Developers as ...

Data Analyst We are seeking a detail-oriented Data Analyst to turn raw data into actionable ... Partner with product, business, and engineering teams to define key performance indicators (KPIs ...

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

The engineer collaborates with analytics, BI, and business teams to transform requirements into reliable data assets that support reporting, analytics, and operational needs. Responsibilities Data ...

New

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 ...

Showing results 21-40

Data Engineer Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Sep 4, 2026, the average yearly pay for data engineer data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 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.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Chicago, IL?

For Data Engineer Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Data Engineer Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Engineer Data Analyst jobs?

Cities near Chicago, IL with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Data Governance- Manager

Pwc

Chicago, IL

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Key responsibilities

  • Lead the creation and execution of data governance strategies

  • Manage client accounts and confirm deliverables meet quality standards

  • Analyze data to inform business decisions and drive growth


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations. This is an exciting opportunity to leverage your knowledge in data governance and analytics to make a significant impact on our clients' success.
Responsibilities
- Lead the creation and execution of data governance strategies
- Supervise and mentor team members to enhance their skills
- Manage client accounts and confirm deliverables meet quality standards
- Analyze data to inform business decisions and drive growth
- Foster collaboration within teams to enhance engagement workstreams
- Uphold the firm's methodologies and confirm compliance with standards
- Identify areas for enhancement in data management processes
- Encourage innovative approaches to enhance data-driven solutions
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- AWS Certified Data Analytics / Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- Google Professional Data Engineer
- DAMA CDMP (Certified Data Management Professional)
- Informatica Certified Professional
- Alation Certified Data Catalog Professional
- Collibra Certified Ranger/Steward/Professionals
- SAP Certified Application Associate - SAP Master Data Governance (MDG)
- SnowPro Core / SnowPro Advanced
- Databricks Certified Data Engineer / Data Analyst / ML

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK