Data Engineer salary in Chicago
Average Base Salary in Chicago
$118,979
$14,030
Additional Cash Compensation
$133,009
Total Compensation
Median: $119K
Min: $65K
Max: $180K
How Much Does a Data Engineer Make in Chicago?
The average salary for a Data Engineer in Chicago is $118,979. The average additional cash compensation for a Data Engineer in Chicago is $14,030. The average total compensation for a Data Engineer in Chicago is $133,009. Data Engineer salaries are based on responses gathered by Built In Chicago from anonymous Data Engineer employees in Chicago.
Chicago by the numbers
6,181
Total number of Tech companies in Chicago
322,504
Total number of tech users on Built In Chicago
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Account Executive
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DevOps Engineer
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Director of Analytics
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Chicago
Chicago
Data Engineer jobs in Chicago
As a Senior Data Scientist at Arity, you will help lead the use of data to drive decisions at scale. You will collaborate with product owners, data & software engineers, and designers to develop and deploy robust, scalable services that enhance our understanding of user mobility. You will create new ways of finding meaning from our unique combination of driving and mobility data along with insurance, shared mobility, and mobile app data that help us understand transportation and the risk of behaviors on the road. You will also help shape and grow our culture we have worked hard to establish – promoting recognition of good work, continuous learning, winning together, and having fun along the way.
At Built In, the health, safety and well-being of our employees and of our communities is a top priority. Due to the effects of COVID-19, we have decided to manage our entire business remotely until further notice. HQ-based employees will temporarily work from home until it is safe to return to our office. As we continue to grow, we are excited to be hiring for all open roles and look forward to meeting with qualified candidates in a virtual
VP Engineering, Artificial Intelligence/Machine Learning 20-0653
+60
You are assisting the CTO of the company and the Executive Team with implementing the company's overall values, mission and strategic goals. You create a technical vision for AI at Relativity and plan and implement new technical projects or product lines. You align with other functional leadership of the business to develop plans to meet overall business growth, revenue and cost targets. You provide high level strategic direction and influence the goals and direction of groups across the company. You design and structure your organization to meet your business objectives and establish teams with clear mandates and direction. You create the identity for your organization and connect that identity back to the company. You define the value proposition of your organization and represent that value to senior executives through delivery of appropriate metrics and performance indicators that measure progress against your strategy. You manage and coordinate product development, working with product management, sales and marketing to determine competitiveness of new technologies. You implement innovation processes to identify and analyze new technologies and run competitive analyses. You are a senior technical representative at events and meetings with major customers, suppliers and trade organizations. You continually challenge existing standards of excellence and propose new standards. You create an environment that fosters innovation while maintaining focus on departmental goals. You create a culture of continuous, systematic improvement in your organization. You are the leader for an area of strategic importance and of significant impact; enhancing AI and ML will enable our customers to further “discover the truth” and “act on it”. We believe AI should be used on every investigation and matter in our software.
Develop data-driven solutions with current and next generation technologies to meet evolving business needs.
Provide technical design and develop Extract/Transform/Load (ETL) applications that interface with all key Discover applications.
Position requires excellent communication skills for understanding business vision and the ability to translate the vision into technical artifacts. Strong technical analysis and design background is also a must-have to ensure that technical deliverables are providing flexible, architecturally sound infrastructure with the ability to reuse in future Data Stores, analytical and operational in AWS.
Discover Financial Services is seeking a Lead Data Engineer to join our Enterprise Technology organization. Successful candidates will partner with our business partners to understand their reporting & data needs, design and help the team build pipelines using Next-Gen tools & new capabilities. Additionally you will be responsible to achieve operational excellence and efficient ways to manage projects and Production support. The ideal candidate will be passionate about Discover Financial Service’s data and its mission.
Develops and maintains full stack solutions to fit business needs. Full stack solutions require one or more of the following: front-end (user interfaces), back-end (APIs), database and DevOps development. Works directly with business partners to understand business requirements. Works independently or with own team to innovate on and advocate for best practices within the team. Designs complex solutions and leads them from inception to production within the agile team.
Develops and maintains full stack solutions to fit business needs. Full stack solutions require one or more of the following: front-end (user interfaces), back-end (APIs), database and DevOps development. Works directly with business partners to understand business requirements. Independently innovates on and advocates for best practices within the team, and collaborates on them across the enterprise. Carries a holistic view of all products and their interactions to design complex solutions and plan for how new projects will fit into the larger ecosystem. Solves complex technical problems. Guides team in implementation of solutions from inception to production.
Lead Software Engineer - SQL PaaS 20-0486
+60
The Lead Software Engineer at Relativity develops software and leads a team to apply software engineering best practices to deliver high quality, maintainable, reusable, reliable, performant, and scalable software.
You will serve as a technical liaison between your team and other internal and external development teams to identify and resolve dependencies, to identify, improve, and apply software engineering best practices and processes, and to identify and mitigate risks to the on-time delivery of software.
Senior Software Engineer (SQL PaaS)-20-0559
+60
The Senior Software Engineer at Relativity develops software and leads a team to apply software engineering best practices to deliver high quality, maintainable, reusable, reliable, performant, and scalable software.
You will serve as a technical liaison between your team and other internal and external development teams to identify and resolve dependencies, to identify, improve, and apply software engineering best practices and processes, and to identify and mitigate risks to the on-time delivery of software.
Machine Learning Engineering Director
+22
As a senior leader in Software Engineering, you will combine your years of proven expertise with a never-ending quest to create innovative technology through solid engineering practices. You’ll lead a highly inspired and inquisitive team of technologists who are already developing and deploying applications to the highest standards. With your deep knowledge of design, analytics, development, coding, testing and application programming, your team will raise their game even more, meeting your standards, as well as satisfying both business and functional requirements. Your passion and experience in one or more technology domains will help solve complex and mission critical problems, internally and externally. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. In addition to creating solutions with your in-house team, you’ll also work alongside our team of technologists from around the world who are just as dedicated as you are. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
Senior Machine Learning Engineer
+48
Predict business outcomes to better guide decision-makers.
Develop a deep insight into the domain of personal finance to guide your work.
Deliver results at production scale with automated pipelines.
Integrate with our data warehouse and data lake to source the best input data available.
Identify and acquire outside data sets to improve the quality of your results.
Establish a culture of intellectual rigor to ensure the quality of the team’s output.
Data Engineer Salary ranges
The most common Data Engineer salary in Chicago is between $120k - $130k.
Average Data Engineer Salary by Company Size
People with the job title Data Engineer make the most at companies with 51-200 employees, earning $123,353 on average.
Data Engineer Salary by gender
The average Data Engineer salary for women is $105,274 and the average Data Engineer salary for men is $120,468.
Data Engineer Salary by Years of Experience
The average salary for a Data Engineer with 7+ years of experience is $129,780. The average salary for <1 year of experience is $87,600.
Average Data + Analytics salaries in Chicago
| Job Title | Average Salary | Salary Range |
|---|---|---|
| Junior Data Analyst | $61,313 | Min: $36K Max: $85K |
| Data Analyst | $69,567 | Min: $42K Max: $150K |
| Junior Business Analyst | $72,000 | Min: $72K Max: $72K |
| Business Intelligence Analyst | $85,648 | Min: $60K Max: $135K |
| Senior Data Analyst | $87,255 | Min: $60K Max: $135K |
| Junior Data Scientist | $88,000 | Min: $70K Max: $106K |
| Senior Business Analyst | $95,870 | Min: $69K Max: $150K |
| Business Intelligence Developer | $96,953 | Min: $70K Max: $126K |
| Analytics Manager | $111,693 | Min: $80K Max: $163K |
| Data Scientist | $112,758 | Min: $68K Max: $188K |
| Data Engineer | $118,979 | Min: $65K Max: $180K |
| Senior Data Engineer | $130,292 | Min: $100K Max: $162K |
| Business Intelligence Manager | $133,529 | Min: $115K Max: $180K |
| Business Analyst | $135,481 | Min: $35K Max: $6614K |
| Senior Data Scientist | $136,465 | Min: $47K Max: $215K |
| Database Administrator | $136,500 | Min: $95K Max: $166K |
| Data Architect | $142,188 | Min: $68K Max: $215K |
| Director of Analytics | $157,464 | Min: $103K Max: $260K |
| Data Engineering Manager | $161,175 | Min: $110K Max: $210K |
| CIO (Chief Information Officer) | $235,194 | Min: $157K Max: $325K |
Skills that affect Data Engineer salaries in Chicago
1
SQL
1% have this skill
2
Amazon Web Services
1% have this skill
3
Python
1% have this skill
4
Data Architechture
1% have this skill
5
Python
1% have this skill
6
Data Modeling
1% have this skill
Recent Data Engineer salaries in Chicago
$115,500
Yearly Salary
A Data Engineer reported a yearly salary of $115,500 with +$11,500 in additional cash compensation
1-3 Years of Experience
Male
501-1,000 Employees
Chicago
$141,000
Yearly Salary
A Data Engineer reported a yearly salary of $141,000
7+ Years of Experience
Prefer not to say
201-500 Employees
Chicago
$180,000
Yearly Salary
A Data Engineer reported a yearly salary of $180,000
5-7 Years of Experience
Prefer not to say
201-500 Employees
Chicago
$80,000
Yearly Salary
A Data Engineer reported a yearly salary of $80,000 with +$8,000 in additional cash compensation
1-3 Years of Experience
Female
11-50 Employees
Chicago
$155,000
Yearly Salary
A Sr. Data Engineer reported a yearly salary of $155,000 with +$22,000 in additional cash compensation
7+ Years of Experience
Male
11-50 Employees
Chicago
$115,000
Yearly Salary
A Consultant reported a yearly salary of $115,000
3-5 Years of Experience
Prefer not to say
501-1,000 Employees
Chicago
$160,000
Yearly Salary
A Data Engineer reported a yearly salary of $160,000
7+ Years of Experience
Prefer not to say
201-500 Employees
Chicago
$92,000
Yearly Salary
A Staff Consultant reported a yearly salary of $92,000 with +$10,000 in additional cash compensation
5-7 Years of Experience
Male
51-200 Employees
Chicago
$100,000
Yearly Salary
A Data Developer II reported a yearly salary of $100,000 with +$15,000 in additional cash compensation
3-5 Years of Experience
Female
1,000+ Employees
Chicago
$118,000
Yearly Salary
A Data Engineer reported a yearly salary of $118,000 with +$6,000 in additional cash compensation
7+ Years of Experience
Prefer not to say
501-1,000 Employees
Chicago
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