Data Analytics Engineer Jobs in Chicago, IL
Data Analytics Engineer jobs in Chicago are concentrated in the Loop, Fulton Market, and the West Loop, where financial services, healthcare technology, and enterprise software firms drive steady demand. Employers hiring right now include Northern Trust, TransUnion, and secretariat. Find a role that fits below and apply directly.
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Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Senior Data Scientist, RWD Analytics
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
What you’ll do:
- Heuristic Development: Design, implement, and formally validate heuristic rules and algorithms for derived clinical concepts using pipeline data.
- Data Profiling & Monitoring: Maintain and expand Python-based profiling pipelines.
- Data Quality Assurance: Build, refactor, and execute comprehensive data quality checks, ensuring robust schema and valueset adherence.
- Longitudinal Patient Cohorting: Design complex inclusion/exclusion funnels and execute large-scale longitudinal patient cohort pulls for strategic real-world data initiatives and specific analysis requests.
- Cross-Functional Collaboration: Collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets, ground truth standards, and finalize clinical heuristic rules.
- Documentation & Reporting: Develop and maintain documentation, configuration files, and metrics for data quality, profiling results, and clinical evaluations to support transparency and continuous improvement.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Clinical Informatics, or a related field.
- 4+ years of experience in data science, clinical data analytics, or machine learning, with a focus on real-world healthcare data (RWD).
- Proficiency in Python and highly advanced SQL, with experience navigating complex relational databases, clinical data models, and ETL pipelines.
- Strong command of evaluation strategies and statistical analysis for AI models, NLP outputs, or clinical heuristics.
- Experience with data quality frameworks, building automated checks (e.g., via YAML configurations), and data profiling tools.
- Deep familiarity with oncology data (e.g., staging, biomarkers, radiotherapy, lines of therapy) and Electronic Health Record (EHR) data structures is highly preferred.
- Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate data trends, evaluation metrics, and quality metrics.
- Excellent problem-solving skills, extreme attention to detail, and the ability to independently manage complex data workflows and chunking operations.
- Strong communication skills, with the ability to explain complex technical and clinical concepts to diverse stakeholders (technical and non-technical).
- Experience working in a collaborative, cross-functional team environment.
CHI: $130,000-$175,000
NYC/SF: $140,000-$190,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
Why Work Here?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Senior Data Scientist, RWD Analytics
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
What you’ll do:
- Heuristic Development: Design, implement, and formally validate heuristic rules and algorithms for derived clinical concepts using pipeline data.
- Data Profiling & Monitoring: Maintain and expand Python-based profiling pipelines.
- Data Quality Assurance: Build, refactor, and execute comprehensive data quality checks, ensuring robust schema and valueset adherence.
- Longitudinal Patient Cohorting: Design complex inclusion/exclusion funnels and execute large-scale longitudinal patient cohort pulls for strategic real-world data initiatives and specific analysis requests.
- Cross-Functional Collaboration: Collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets, ground truth standards, and finalize clinical heuristic rules.
- Documentation & Reporting: Develop and maintain documentation, configuration files, and metrics for data quality, profiling results, and clinical evaluations to support transparency and continuous improvement.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Clinical Informatics, or a related field.
- 4+ years of experience in data science, clinical data analytics, or machine learning, with a focus on real-world healthcare data (RWD).
- Proficiency in Python and highly advanced SQL, with experience navigating complex relational databases, clinical data models, and ETL pipelines.
- Strong command of evaluation strategies and statistical analysis for AI models, NLP outputs, or clinical heuristics.
- Experience with data quality frameworks, building automated checks (e.g., via YAML configurations), and data profiling tools.
- Deep familiarity with oncology data (e.g., staging, biomarkers, radiotherapy, lines of therapy) and Electronic Health Record (EHR) data structures is highly preferred.
- Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate data trends, evaluation metrics, and quality metrics.
- Excellent problem-solving skills, extreme attention to detail, and the ability to independently manage complex data workflows and chunking operations.
- Strong communication skills, with the ability to explain complex technical and clinical concepts to diverse stakeholders (technical and non-technical).
- Experience working in a collaborative, cross-functional team environment.
CHI: $130,000-$175,000
NYC/SF: $140,000-$190,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
Why Work Here?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
See All 66 Data Analytics Engineer Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Insurance
- Accounting & Auditing
- Distribution & Wholesale
- Banking & Financial Services
Data Analytics Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a data analytics engineer job in Chicago?
Focus your search on the Loop's financial services firms, Fulton Market's technology companies, and the health-tech employers clustered in the Illinois Medical District and along the North Shore. Chicago's market rewards candidates who combine cloud data platform experience with business-facing communication skills. Building a portfolio with public Chicago datasets and connecting with local data engineering meetups gives you a concrete edge over candidates with equivalent credentials.
Which companies hire data analytics engineers in Chicago?
Employers hiring data analytics engineers in Chicago right now include Northern Trust, TransUnion, and secretariat, based on current listings on Migrate Mate as of November 2026. Chicago's hiring mix skews toward large financial institutions, mid-size health-tech firms, and fast-growing enterprise software companies headquartered downtown or in the near North suburbs.
Are there remote data analytics engineer jobs in Chicago?
Yes, data analytics engineering is well suited to remote and hybrid arrangements because the core work is analytical and tool-based rather than tied to physical infrastructure. About 91% of data analytics engineer openings tied to Chicago are remote or hybrid as of November 2026, reflecting broader trends across the tech and finance sectors. Pipeline orchestration, modeling, and reporting work are the functions most commonly offered as fully remote by Chicago employers.
How can I get a data analytics engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is through analyst or business intelligence roles at mid-size insurance, logistics, or healthcare companies, which regularly hire candidates who can demonstrate SQL proficiency and basic Python without a lengthy work history. Roles such as data analyst, BI developer, or analytics operations associate serve as common stepping stones. Chicago's strong community college system and Midwest tech bootcamp scene produce candidates who land these roles by presenting a portfolio built on city-specific open data.
Which industries hire the most data analytics engineers in Chicago?
Chicago data analytics engineer roles concentrate in Consulting & Professional Services, Insurance, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. Chicago's position as a national hub for derivatives trading, commercial insurance, and large hospital networks creates sustained demand for engineers who can move raw operational data into reliable analytical pipelines across all three of those sectors.
See All 66 Data Analytics Engineer Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs