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Developer - Data, AI, Platform & Support - BMO Financial Group

Job in Newport Beach, Orange County, California, 92659, USA
Listing for: OpenTalent
Part Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions.

We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.

  • Contribute to the planning, design, development, testing, implementation, documentation, and support of data and AI products.
  • Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products.
  • Contribute input on technical designs and ensure alignment with standards and roadmaps.
  • Accelerate development by building frameworks, automation scripts, and reusable code.
  • Identify, track, and perform regression testing on defects found.
  • Support production issues, including completion of root-cause analysis.
  • Participate in process improvement opportunities to improve delivery and deployment capabilities.
Qualifications:
  • 2 - 5 years of relevant experience and IT education and/or certification(s).
  • Experience with ETL/ELT development/testing and data warehousing concepts.
  • Experience with SQL, No

    SQL, Python , Spark/PySpark, Scala.
  • Experience with SSIS, Glue, Cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza.
  • Experience with structured, semi structured and unstructured datasets in batch and streaming.
  • Experience with data analysis, data modeling, data mapping and data profiling.
  • Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC, etc.
  • Knowledge of technical/business environment and processes.
  • Experience with Agile delivery, including usage of JIRA .
  • Critical thinking.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
Salary

The 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.

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