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Senior Data & AI Engineer

Mindlance1 day ago
Toronto, Ontario, Canada
Senior Level
CONTRACTOR

About the role

Job Title: IAM Data & AI Engineer Duration-6 Months+(Possible extension) Location-Toronto ON

Must Have: Proficiency in Python (baseline for all AI/data tooling) and advanced SQL across at least two platforms (Snowflake, Trino, SQL Server). Hands-on experience with Snowflake SQL, Cortex AI features, and semantic view design. Practical experience building MCP servers or agentic AI frameworks, including LLM API integration (Claude/Anthropic, GPT, or equivalent). Experience building RAG pipelines with LangChain or similar orchestration frameworks and vector database integration (Pinecone, Chroma, or similar). Demonstrated ability to design effective prompts with context management, chain-of-thought patterns, and governance controls (cost monitoring, logging, guardrails). Familiarity with IAM/PAM domain concepts (privileged access, entitlements, access certifications). Experience writing structured test plans and executing test cases for data or software systems. Experience authoring Apache Airflow DAGs, Apache Spark jobs, and managing pipeline dependencies. Knowledge of modern data lakehouse tooling: Apache Iceberg, DBT, and/or Hadoop ecosystem (HDFS, Hive). Experience with hybrid cloud deployments (AWS and/or Azure) alongside on-prem infrastructure. Proficient with Git workflows, GitHub Actions CI/CD pipeline configuration, and code review practices. Ability to produce clear technical documentation and data dictionaries. Strong problem-solving skills and ability to deliver in critical timelines with minimal oversight. Excellent communication skills — comfortable engaging with both technical teams and IAM business stakeholders.

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.

About Mindlance

Staffing and Recruiting
1001-5000

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA’s list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1.

What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR.

Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service.

With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem. Visit www.mindlance.com to learn more about us and our latest job openings.

STAFFING INDUSTRY ANALYSTS RECOGNITIONS: Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011) Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015) Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015) Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017) Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

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