Blend machine learning expertise, software engineering, data engineering, cloud technologies, and cross-functional collaboration
Build scalable AI systems that deliver measurable business value
Work with modern AI architectures in a hands-on and forward-thinking manner
Focus on generative AI, automation, and intelligent systems with an adaptable approach and proactive learning

Requirements

Bachelor's degree in computer science, data engineering, or a related field with 5+ year's experience (Master's preferred)
Proven experience in data engineering, MLOps, ETL, and database management
Experience with QL and data manipulation languages
Proficiency in Azure, Python, Java, or Scala
Familiarity with data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake)
Knowledge of big data technologies (e.g., Hadoop, Spark)
Experience with highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata engineeringMLOpsETLdatabase managementdata manipulation languagesAzurePythonJavaScala

Soft Skills

cross-functional collaborationadaptable approachproactive learning