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

Home Chef

Sr Analytics Engineer

Chicago, IL · Remote

$107K - $147K/yr

The Senior Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, this role is responsible for the creation ...

Home Chef

Sr Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, this role is responsible for the creation ...

Home Chef

Sr Analytics Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

The Senior Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, this role is responsible for the creation ...

IQVIA

Associate Director, Data Analytics

Chicago, IL · Remote

This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering ... Data & Analytics Products (Build + Scale) Own the end-to-end lifecycle of data and analytics ...

Xforia, Inc.

Sr. Data Product Analyst

Oak Brook, IL · On-site

$86K - $109K/yr

... Analytics Engineer with accountability for data products and direct influence on the company's success. Essential Duties and Responsibilities • Act as the data product subject matter expert and ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL

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 ...

Ankura

Associate, Forensic Data & Analytics

Chicago, IL · Hybrid

$7.0K - $90K/yr

Forensic Data & Analytics specializes in the development of innovative and technology-driven ... Programming and scripting languages (Python, C#, VBA, PHP, etc.); ETL software and data ...

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Showing results 41-60

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

Data Analytics Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 the most commonly searched types of Data Analytics Engineer jobs in Chicago, IL?

The most popular types of Data Analytics Engineer jobs in Chicago, IL are:

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

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer 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 $133,627 per year, or $64.2 per hour.

Data, Analytics & Cloud Engineering Consultant

Kenway Consulting

Chicago, IL • On-site

$120K - $140K/yr

Full-time

Posted 5 days ago

Job description

Data, Analytics & Cloud Engineering Consultant
Application Deadline: 30 October 2026
Department: Capability Leadership
Employment Type: Full Time
Location: Chicago
Compensation: $120,000 - $140,000 / year
Description
About This Position
Kenway Consulting is currently looking for a Data, Analytics & Cloud Engineering Consultant. Above all, this is a consulting role: our consultants are trusted advisors who take the time to understand each client's business, build strong working relationships, and help solve their critical technology and business problems. Data, analytics, and cloud engineering are the disciplines through which this Consultant will deliver that value - building solutions on modern cloud data platforms and, just as importantly, analyzing the data itself to investigate root causes and interpret what the business is seeing.
The Consultant should have a passion for helping clients make better decisions with data, along with the communication skills and professionalism to represent Kenway well. This is an early-career role, and the Consultant will work closely with a collaborative team of senior engineers and architects who will support their growth into a well-rounded, client-facing advisor. They should enjoy working with a collaborative team and for clients of varying sizes and industries, and be eager to take ownership of their work.
Core Traits We Are Seeking
  • Entrepreneurship: Passion to fuel growth by helping clients, peers, the organization, and yourself, with a continuous hunger to learn.
  • Tenacity: Ability to drive through ambiguity.
  • Professional Presence: Clear, concise, and articulate when using written and verbal channels.
  • Communication: Adept at communicating quickly and effectively, whether the message is good or bad.
  • Aptitude: You climb steep learning curves quickly.
  • Integrity: Comfortable doing what is right for the project even when doing so may not be the most favorable path forward.
  • Growth Mindset: Proactively develop core skills independently and with the help of others.

Responsibilities
  • Build and maintain scalable, performant, and cost-effective data pipelines, notebooks, and data products (including Power BI reports) on modern cloud data platforms, under the direction of senior engineers and architects
  • Analyze data to investigate problems, identify root causes, and interpret what the business is seeing - then communicate those findings clearly
  • Write clean, well-structured Python and SQL to move, model, transform, and analyze data
  • Apply software-delivery discipline to data assets - version control, testing, and CI/CD-based deployment across environments
  • Take ownership of defined technical tasks and deliver them with increasing independence
  • Support the proposals, demos, and collateral leveraged in business development pursuits

Qualifications & Credentials
  • Qualification(s) in data analytics, information management, computer science, or equivalent practical experience
  • 1-3 years of experience (including internships / co-ops) building, implementing, and maintaining data solutions on Modern Data Platforms, inclusive of the following:
  • Cloud architecture and engineering, with a focus on Microsoft Azure - a working understanding of core Azure data services (e.g., storage, compute, Synapse, OneLake) and how they combine to support a data platform, plus hands-on exposure to cloud engineering practices such as provisioning and configuring resources, managing access and secrets (RBAC, managed identities, Key Vault), and building with cost and security in mind
  • Hands-on exposure to modern data platforms, specifically Databricks and/or Microsoft Fabric - building and running data pipelines and developing in notebooks
  • Proficiency in Python and SQL, with a demonstrated ability to perform real analysis - not just query data - including SQL performance and tuning fundamentals
  • Analytical problem-solving - the ability to explore data, investigate anomalies, reason from symptoms to root cause, and translate findings into a clear explanation of what the business is seeing
  • Exposure to AI in the modern data and analytics stack - familiarity with how AI is reshaping data work, such as AI-assisted and conversational analytics (e.g., Databricks Genie, Microsoft Fabric Copilot / Data Agents), applying large language models to data problems, and using AI coding assistants to work more effectively, with the curiosity to keep pace as these tools evolve
  • An understanding of how CI/CD and DevOps should work in the data space, including:
    • Git-based version control of pipelines, notebooks, and data models
    • Promoting code across development, test, and production environments
    • Automated testing, logging, and alerting for data pipelines
    • Familiarity with relevant tooling (e.g., Azure DevOps, GitHub Actions, dbt, Databricks Asset Bundles / Repos, or Fabric deployment pipelines)
  • Working knowledge of ELT/ETL approaches, including batch and, ideally, real-time or event-driven processing
  • Familiarity with Data Lake, Data Lakehouse, and Data Warehouse concepts
  • Familiarity with data modeling and data transformation (e.g., dbt)
  • Exposure to Agile ways of working and delivery tooling such as JIRA or Azure DevOps Boards
  • Business acumen - able to connect technical work to the business problem it solves, and to take ownership of defined work and deliver value with limited oversight

What our Company looks like
Kenway Consulting is a Management and IT consulting firm looking to expand our growing staff. Your strengths in leading teams across the designing, implementing and constructing reusable services and frameworks are needed to drive the solutions to our clients' critical technology and business problems. You will have the opportunity to make an immediate impact with our world-class clients. Our projects tend to focus primarily on enterprise solutions, straddling our clients' technology and business organizations. Our solution-based approach leverages the diverse combination of skills and experience of our staff. We strive to provide the highest possible quality work product delivered by our dynamic and collaborative consultants. We provide an inclusive team-driven environment, working together to identify clients, technologies and people in support of Kenway's ambitious growth targets. We are focused on the unique skills and interests of each individual staff member. We offer numerous career paths and opportunities to continually develop your skills and experience. We offer a supportive environment and recognize that you have a life outside of your job. We staff project teams to deliver the highest quality work for our clients while honoring the many facets of our consultants' lives.
What we offer our Employees:
Kenway offers the ability to chart your individual career path based on your expertise and passions. An environment that encourages you to identify new opportunities and the support to make it happen. An atmosphere that promotes a balanced lifestyle by working with local (Chicagoland) and national clients in a flexible consulting model. The opportunity to build and be part of a fun and collaborative team. A competitive compensation package and exceptional benefits.

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