Data and AI Engineer

Bank Of Montreal

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profile Job Location:

Naperville, IL - USA

profile Monthly Salary: $ 49500 - 91300
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Application Deadline:

11/23/2025

Address:

1200 E. Warrenville Road

Job Family Group:

Technology

Oversees the development of methods practices policies tools and processes to collect store access and use data securely efficiently and cost-effectively. Supports the full lifecycle of data assets. Assures the quality of data collection including the adequacy accuracy and legitimacy of the data. Identifies ways to manage data across a diverse but unified data tier. Plans and supports the implementation of cloud data management platforms and tools policies and procedures giving the organization control of business data both in cloud applications and hybrid cloud/ on-premise set-ups. Manages data integration applying relevant data governance and management practices.

  • Creates and maintains an optimal data pipeline architecture.
  • Assembles large complex data sets that meet functional / non-functional business requirements.
  • Identifies designs and implements internal process improvements: automating manual processes optimizing data delivery re-designing infrastructure for greater scalability.
  • Builds the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources.
  • Builds analytics tools that utilize the data pipeline to provide actionable insights into customer operational efficiency and other key business performance metrics.
  • Works with different stakeholders and teams to assist with data-related technical issues and support their data infrastructure needs.
  • Works with experts in data strategy and data governance to suggest quality enhancements.
  • Focus may be on a business/group.
  • Thinks creatively and proposes new solutions.
  • Exercises judgment to identify diagnose and solve problems within given rules.
  • Works mostly independently.
  • Broader work or accountabilities may be assigned as needed.

Qualifications:

Foundational level of proficiency:

  • Creative thinking.
  • Data architecture design and modeling.
  • Cloud computing architecture.
  • Data security.
  • Machine learning.
  • Computational thinking and programming.
  • Deep learning.
  • Decision making.
  • Critical thinking.
  • Data integration.
  • Data warehousing.
  • Enterprise data management.
  • Data mining.
  • Big data.
  • Streaming / Real time.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Typically between 3 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Specialized knowledge from education and/or business experience.

Salary:

$49500.00 - $91300.00

Pay Type:

Salaried

The above represents BMO Financial Groups 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 Groups expected target for the first year in this position.

BMO Financial Groups 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: 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. Well 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 well help you gain valuable experience and broaden your skillset.

To find out more visit us at 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 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.

Application Deadline:11/23/2025Address:1200 E. Warrenville RoadJob Family Group:TechnologyOversees the development of methods practices policies tools and processes to collect store access and use data securely efficiently and cost-effectively. Supports the full lifecycle of data assets. Assures the...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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We cover the whole balance sheet, from foreign exchange, trade finance and treasury management to corporate lending, securitization, public and private debt and equity underwriting. Our team of experts can also provide a full range of advisory services, along with industry-leading res ... View more

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