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Senior Data Analytics Engineer Jobs in Illinois (NOW HIRING)

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that support analytics, machine learning, and emerging AI capabilities. Leveraging expertise in modern data ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

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 · 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. ...

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. ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ...

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

We are seeking a Senior Data Engineer with strong ETL, Python, and cloud data engineering experience to support enterprise data warehouse and analytics initiatives. This role is responsible for ...

About The Opportunity We are seeking a highly analytical and collaborative Senior Data Analyst to ... Partner with the central data and data engineering teams to ensure the accuracy and availability of ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Avison Young is a global commercial real estate brokerage and advisory firm, seeking a Senior Analytics Engineer to join their Data Architecture team. In this hands-on leadership role, you will own ...

About The Opportunity We are seeking a highly analytical and collaborative Senior Data Analyst to ... Partner with the central data and data engineering teams to ensure the accuracy and availability of ...

Senior Data Analyst

Chicago, IL · On-site

$149K - $157K/yr

About The Opportunity We are seeking a highly analytical and collaborative Senior Data Analyst to ... Partner with the central data and data engineering teams to ensure the accuracy and availability of ...

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a Senior Data Engineer on the Enterprise Data team, you own the technical side of the iMData ... Designing gold layer star schemas to support AI, analytical, and reporting workloads. * Serving as ...

Showing results 21-40

Senior Data Analytics Engineer information

See Illinois salary details

$78.5K

$122.4K

$169.6K

How much do senior data analytics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data analytics engineer in Illinois is $122,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $139,500.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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 are popular job titles related to Senior Data Analytics Engineer jobs in Illinois?

For Senior Data Analytics Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Illinois look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Illinois are:

What cities in Illinois are hiring for Senior Data Analytics Engineer jobs?

Cities in Illinois with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,415 per year, or $58.9 per hour.

Data Analytics & Engineering Opportunities

Venable LLP

Chicago, IL • On-site

$65K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Venable LLP's Technology & Innovation Group Venable Blue team seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California regions. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.
We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.
Seeking professionals skilled in the following:
  • Experience with SQL (Oracle, Vertica, Hive, MySQL, or similar) Python, or R
  • Experience with Business Intelligence tools such as, Tableau, Microstrategy, or similar
  • Ability to present complex findings clearly and work cross-functionally

Venable LLP does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. To view our inclusion and opportunity policy, please click here.
Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.
Applicants with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.
Venable's benefits package includes medical, dental, vision, disability, life insurance, flexible spending and healthcare savings accounts, 401(k) with firm profit share, paid vacation and sick time, firm paid holidays, wellness and personal advocacy programs, family planning resources and leave programs, tuition reimbursement, and more. New employees are provided a detailed orientation to the firm's benefit offerings upon hire.
The anticipated base salary for Data Analytics & Engineering positions is $65,000 - 105,000 per year. The actual salary offered will be based on a number of job related factors including, but not limited to, years of related experience, level of education, skills, credentials and certifications, responsibilities and performance. Additional compensation may include discretionary bonuses and overtime, if eligible. Overtime wages earned will be paid in compliance with applicable law.
Venable LLP's Technology & Innovation Group Venable Blue team seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California offices. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.
We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.