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Data Engineer Data Analyst Jobs in Oakbrook Terrace, IL

Data Engineer, Data & AI Platforms

Chicago, IL ยท 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 ...

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

Data Governance- Manager

Chicago, IL ยท 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 ...

Work closely with data engineering teams, integration teams, and business stakeholders. * Support testing of ETL pipelines and API/file-based integrations. * Issue Analysis & Production Support:

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Job Summary We are seeking a hands-on Data Engineer to support AI and data initiatives focused on ... analytical, problem-solving, and troubleshooting abilities. โ€ข Strong communication skills with ...

Required : โ€ข Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field โ€ข 7-10 years of experience in investment management, financial services, or a data ...

Data Engineer

Chicago, IL ยท 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 ...

Data Analyst

Chicago, IL ยท On-site +1

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 ...

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 ...

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 ยท 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 ...

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 ...

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 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 ...

Senior Data Analyst

Chicago, IL ยท 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.

Data Analyst

Chicago, IL ยท On-site

$70 - $90/hr

Align and support various analytics, metrics, data, and reporting needs at Obie across various departments like Growth & Channel Distribution, Product & Engineering, Insurance, Finance & Accounting ...

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Showing results 21-40

Data Engineer Data Analyst information

See Oakbrook Terrace, IL salary details

$34.2K

$83.1K

$136.8K

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

As of Aug 20, 2026, the average yearly pay for data engineer data analyst in Oakbrook Terrace, IL is $83,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,500.00 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 Oakbrook Terrace, IL?

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

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

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

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

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

Infographic showing various Data Engineer Data Analyst job openings in Oakbrook Terrace, IL as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $83,107 per year, or $40 per hour.

Data Engineer, Data & AI Platforms

Zeno

Chicago, IL โ€ข On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Zeno Group is the fiercely independent and global, integrated communications agency, born from PR. We bring together the boldest and brightest talent to help clients across industries and sectors unleash the power of strategic communications. Guided by our "Fearless Pursuit of the Unexpected," we push the boundaries to achieve real business value and societal impact for clients. Winner of the industry's most coveted awards including the 2024 PRWeek U.S. Outstanding Large Agency of the Year, 2023 PRWeek Purpose Agency of the Year, 2022 PRWeek Global Agency of the Year, 2022 PRovoke Best Large Agency to Work For in North America and a three-time winner of PRWeek's Best Places to Work. Zeno has also been previously recognized by the Cannes Lions International Festival of Creativity. Zeno is a DJE Holdings Company.
Job Description:
Data Engineer, Data & AI Platforms
Zeno Group is hiring its first dedicated data engineer. You'll set the technical direction as we rebuild our data platform around AWS, design the data layer our AI products run on, and shape how a global communications agency works with data long after the migration ships.
Half the job is collaboration. You'll work daily alongside our Data & Intelligence (D&I) analysts on live, revenue-generating client work and be in the room for every architecture and migration decision. The D&I team already runs strong operational data workflows; your job is to grow that foundation into a centralized, AI-ready architecture without breaking the client work that runs on it today.
The role is full-time and reports into Zeno's AI & Innovation practice.
The team you're joining
AI & Innovation is a small team building a new practice inside a large organization. We move fast, cover a lot of ground, and hold ourselves to a high standard. A few things define how we work.
Craft over speed. We optimize for doing things well. AI and automation save us real time, and we reinvest those hours into workthat's more durable and more useful. A pipeline that's clean, well-documented, and built to last is worth more than one that shipped yesterday and breaks next week.
Build what others can't access. We license tools when they solve the problem. But the work that differentiates Zeno is built in-house: proprietary data systems, AI products, and infrastructure that our clients and teams can't get anywhere else. You're rebuilding Zeno's data layer for where it needs to go next, not maintaining someone else's platform.
Makers who can hold a room. This role isn't heads-down-only. You'll be in architecture conversations, working through migration decisions with the DevOps team, and sitting across from analysts who need you to understand their client context before you build anything. We look for people who are strong technically and comfortable communicating what they know to people who don't share their vocabulary.
Radical visibility. We're a small team with outsized scope. There's no room to go quiet. We surface our work as we go, share what we're stuck on, flag when we have capacity, and keep each other in the loop without being asked. If you're the kind of personwho finishes something and immediately shares it with the team, you'll thrive here. If you prefer to disappear into your work and surface only when it's done, this isn't the right fit.
About the Role
  • Transition data infrastructure to a modern architecture built around AWS.
  • Improve and scale existing client data pipelines while keeping client deliverables running smoothly.
  • Support the Snowflake migration by documenting current schemas, validating that the new architecture preserves existing functionality, and testing with real client data.
  • Build the data layer for AI products, including ingestion pipelines, APIs, and programmatic access layers that connect data sources to LLM interfaces.
  • Build and maintain data pipelines by configuring Fivetran connectors for paid media data, building pipelines for sources Fivetran doesn't cover, and writing validation and transformation steps.
  • Connect data to BI tools by building views and clean tables that analysts can query directly without writing complex SQL.
  • Support ongoing client work alongside client-facing analysts, from adjusting tables for new data cuts to standing up pipelines for new clients.

About You:
  • 6+ years of hands-on data engineering experience. You've built pipelines, debugged data issues, and written clean SQL in a production environment.
  • Comfortable with cloud data warehouses and modern tooling. Experience with at least one of Redshift, Snowflake, or BigQuery. You understand ETL/ELT patterns. Python for data work. AWS experience preferred.
  • You hold your own in architecture conversations. You'd be in the room for decisions about schema design, warehouse selection, and data modeling, making sure what gets built serves the team's needs.
  • You work well with analytically strong teammates. Our analysts have deep client and data experience from running operations at previous agencies. You need to understand their context and build things the team can maintain and use alongside you.
  • Familiarity with and curiosity about LLM tooling, vector databases, or document processing pipelines matters here.Part of this role is identifying where LLMs plug into our data workflows.
  • Consulting or agency experience is a plus.

Technical Environment
  • Current: Snowflake, Fivetran, Tableau, Alteryx, Excel
  • Target: AWS (Redshift, S3, Lambda), Fivetran, Tray.ai, Tableau/PowerBI/Looker, Hex
  • Adjacent: Claude/LLM integrations via MCP, custom dashboard development
  • Data types: paid media performance (Meta, Google, TikTok), earned media (Muckrack, Cision), employee engagement event data (Amplitude), creator/influencer campaign data

Details
  • Preferred location: Chicago
  • Reports to: Head of AI & Innovation

Pay Range: $150,000 - $200,000 USD/yr.
An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of DJEH's total compensation package for employees. Other rewards may include annual bonuses, a Paid Time Off policy, and region-specific benefits.
Level 08
An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of DJEH's total compensation package for employees. Other rewards may include annual bonuses, a Paid Time Off policy, and region-specific benefits.
About Our Benefits
Healthy, happy employees make Zeno better, so we have programs that support physical, mental and financial wellness. Our culture and benefits are designed to promote flexibility, celebrate diversity and support work/life balance. We offer a variety of medical, dental and vision insurance with prescription plans, as well as short and long-term disability. Our Be Kind to Your Mind program focuses on mental health, providing a paid subscription to Headspace and access to mental health providers and other services through a best-in-class employee assistance program. Employees are encouraged to bring their authentic self to Zeno and participate in our employee resource groups which build communities for sharing and support. And while we love our work, we believe in the restorative power of time off with generous vacation, paid holidays and self-care time. Employees are supported in their pursuit of financial wellness with a 401(k) plan, pretax flexible spending accounts, tuition assistance, life insurance and free access to a certified financial coach. And our unique ZenoFit program provides a monthly allowance to fund activities in your personal life that bring you joy and keep you healthy. These and other benefits are available to non-temporary employees in the US.
Zeno Group, Inc. provides equal employment opportunities to applicants and employees. Employment decisions are made on the basis of job-related criteria without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, age, genetic information, national origin, disability, military, or veteran status, or any other classification protected by applicable law. We invite all applicants to voluntarily self-identify their race, ethnicity, and gender. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment. Information obtained will be retained in a confidential file and separate from personnel records. This information may only be used in accordance with the provision of applicable federal laws, executive orders, and regulations. If you want more information about any of the sections, please check with a company representative.