Data Engineer Jobs

About The Position

Requirements

• At least 5 years of hands-on experience designing and developing ETL/ELT pipelines using Databricks, Apache Spark, and PySpark.
• Strong proficiency in Python, SQL, and PySpark.
• At least 5 years of project or delivery management experience.
• Experience with Delta Lake, data lakehouse architecture, streaming data, and data warehousing.
• Hands-on experience with AWS, Azure, or GCP.
• Knowledge of CI/CD, Git, DevOps practices, and performance tuning.

Responsibilities

• Design, build, and optimize scalable data pipelines and lakehouse solutions.
• Lead project delivery, resource planning, risk management, and stakeholder communication.
• Manage support operations, ensuring SLA compliance and high customer satisfaction.
• Collaborate with business, analytics, and engineering teams to deliver data-driven solutions.
• Develop dashboards, reports, and automation initiatives to improve operational efficiency.
• Monitor cloud and platform costs, including GCP and Snowflake, and drive cost optimization efforts.
• Manage client relationships, monthly reviews, escalations, and commercial discussions.
• Identify process improvements, support new application onboarding, and drive continuous innovation.

Benefits

• Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.