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Data Analytics Engineer Jobs in Illinois (NOW HIRING)

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Analytics Engineer

Edwardsville, IL · On-site

$107K - $129K/yr

Implementing data quality and governance frameworks that ensure information is accurate and ... of experience in analytics engineering, data engineering, or similar role * Advanced SQL ...

Analytics Engineer

Edwardsville, IL

$107K - $129K/yr

Implementing data quality and governance frameworks that ensure information is accurate and ... of experience in analytics engineering, data engineering, or similar role * Advanced SQL ...

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 ...

Role Overview Feastables is building a modern CPG brand at scale, where data is critical to how the ... The Senior Analytics Engineer is responsible for building and maintaining the core data workflows ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

The Analytics Engineer role involves working with internal customers to understand their data needs, developing data pipelines, and maintaining data quality to support business operations.

Implementing data quality and governance frameworks that ensure information is accurate and ... of experience in analytics engineering, data engineering, or similar role * Advanced SQL ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse ...

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Showing results 1-20

Data Analytics Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do data analytics engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analytics engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Illinois? The most popular types of Data Analytics Engineer jobs in Illinois are:
What cities in Illinois are hiring for Data Analytics Engineer jobs? Cities in Illinois with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Illinois as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $125,698 per year, or $60.4 per hour.
Data Analytics Engineer

$114K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

About Northern Trust


As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.


Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.


With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.


Title: Data Analytics Engineer

Key skills required for the role:

  • Advanced data analytics skills using ML, AI and GenAI.
  • Expertise in designing data driven AI solution for complex business needs.
  • Investment Management or Asset Management experience recommended.
  • Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design.
  • Intellectual curiosity, inclination for independent and self-directed work, and attention to detail.
  • Professional experience driving change, transformation, and process improvement initiatives.
  • Manage relationships with stakeholders and executive leadership to achieve business outcomes
  • Understanding of data security, cyber-security and PII management
  • Deep understanding of relational and NoSQL data stores, methods and approaches.

Roles and Responsibilities:

  • Manage relationships with all stakeholders, with a focus on setting expectations and maintaining ongoing client satisfaction through effective project management and a strong commitment to customer service.
  • Evangelize data strategist working through design, documentation, review and cross team negotiations to support strategic business and technology goals.
  • Displays thought leadership in pursuit of modern architecture principals and technology
  • Leads technology proof of concepts to ensure feasibility of architecture solutions.
  • Provides architecture direction for engineers in support of a technical pattern.
  • Drives continuous technology transformation to minimize technical debt. Continuously improve efficiency and effectiveness of the architecture.
  • Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise.
  • Participates in defining target state technology architecture and roadmaps. Ensures alignment of IT initiatives with the target state.
  • Contribute to a fast-paced Agile team and participate in multiple aspects of planning, documentation, execution, testing and launch of projects
  • Interface with global teams to collaborative work on business deliveries.
  • Strong grasp of value creation and business capability models for large scale technology platforms.

Experience :

  • Bachelor's degree in Computer Science or a related discipline is required.
  • Seasoned expert with technical and business knowledge and functional expertise that has been developed over several years.
  • Experience in systems analysis and application program development.
  • Experience with project feasibility, definition requirements, design and/or project leadership.
  • Experience with various technical programming languages, and phase report studies is required.

Salary Range:

$114,500 - 194,700 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.


Work Authorization


Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).


Working with Us


As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.


Philanthropy is deeply rooted in Northern Trust's history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.


Reasonable Accommodation


Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.



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