Pay
Lower than most similar jobs
$75K–$160K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Chicago, IL, USA
Live, first seen by us 11 days agoSalary: $75,000.00 - $160,000.00 Pay Type:Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and maintain automated risk-reporting solutions
Build AI-enabled workflows for data preparation, validation and reports
Migrate SAS-based processes to Anaconda and Python solutions
Design data marts and star schemas for Power BI
Develop and tune SQL queries for risk-reporting outputs
Design, develop, and maintain automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes.
Build and integrate AI-enabled workflows that streamline data preparation, validation, and report generation.
including migration from SAS-based processes to Anaconda and Python-based solutions.
Design optimized data marts and star schemas for Power BI consumption.
Develop and tune SQL queries to deliver accurate, high-performing risk-reporting outputs.
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Lower than most similar jobs
$75K–$160K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 11
Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Build and integrate AI-enabled workflows that streamline data preparation, validation, and report generation. - Develop and maintain Python and Shell applications and scripts that support reporting automation, monitor system health, and improve operational reliability. - Modernize manual and legacy reporting processes into scalable automated pipelines, including migration from SAS-based processes to Anaconda and Python-based solutions.
- Develop and maintain Python and Shell applications and scripts that support reporting automation, monitor system health, and improve operational reliability. - Modernize manual and legacy reporting processes into scalable automated pipelines, including migration from SAS-based processes to Anaconda and Python-based solutions. - Design optimized data marts and star schemas for Power BI consumption.
- 5+ years of hands-on professional work experience in reporting automation or data development, including advanced SQL with complex views, stored procedures, and performance tuning. - 3+ years of experience using both Python and Shell scripting to automate reporting workflows and build supporting applications. - 3+ years of experience integrating AI functionality into existing processes through APIs or comparable AI-enabled workflow tooling.
- 4+years of experience with dimensional modeling and modern data-warehouse concepts. - Experience modernizing legacy reporting or data processes; SAS-to-Python migration experience is strongly preferred. - Ability to work independently, take initiative, and manage technical work with limited day-to-day direction.
- Design optimized data marts and star schemas for Power BI consumption. - Develop and tune SQL queries to deliver accurate, high-performing risk-reporting outputs. - Partner with data-reporting teams to ensure data structures and outputs support effective reporting and visualization.
SKILLS AND QUALIFICATIONS: - 5+ years of hands-on professional work experience in reporting automation or data development, including advanced SQL with complex views, stored procedures, and performance tuning. - 3+ years of experience using both Python and Shell scripting to automate reporting workflows and build supporting applications.
- Modernize manual and legacy reporting processes into scalable automated pipelines, including migration from SAS-based processes to Anaconda and Python-based solutions. - Design optimized data marts and star schemas for Power BI consumption. - Develop and tune SQL queries to deliver accurate, high-performing risk-reporting outputs.
- 3+ years of experience integrating AI functionality into existing processes through APIs or comparable AI-enabled workflow tooling. - 2 year of experience with Power BI and Power Query. - 2 year of experience using Git for version control.
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Yes. We’ve followed one other Senior Data Engineer - Reporting Automation & AI job there since September 2026. It came down after 38 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Application Deadline:
Address:
320 S Canal StreetJob Family Group:
TechnologyThe Senior Data Engineer - Reporting Automation & AI designs, develops, and maintains automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes. This role combines reporting automation, AI-enabled workflows, application development, and technical problem solving to modernize legacy processes and support future-state reporting platforms.
The successful candidate will work closely with risk-reporting teams to translate manual, fragmented processes into reliable automated pipelines. This person will serve as the technical bridge between raw risk data and the accurate, timely reports stakeholders rely on.
This is a net-new hybrid role based in Downtown Chicago. The successful candidate will work from the Chicago office 3 days per week, with Tuesday as a required in-office day.
KEY RESPONSIBILITIES:
SKILLS AND QUALIFICATIONS:
WHAT THE SUCCESSFUL CANDIDATE WILL TACKLE
During the first several months, the successful candidate will build familiarity with the existing code, risk data, and reporting processes.
This person will help advance data and code migration away from SAS and toward Anaconda- and Python-based solutions while improving the reliability and automation of reporting workflows.
Additional Information:
Salary:
$75,000.00 - $160,000.00Pay Type:
SalariedThe above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary: $75,000.00 - $160,000.00 Pay Type:
Chicago, IL, USA
The successful candidate will work closely with risk-reporting teams to translate manual, fragmented processes into reliable automated pipelines. This person will serve as the technical bridge between raw risk data and the accurate, timely reports stakeholders rely on. This is a net-new hybrid role based in Downtown Chicago. The successful candidate will work from the Chicago office 3 days per week, with Tuesday as a required in-office day. KEY RESPONSIBILITIES:
No clear work-authorization passage found. Eligibility is unconfirmed.