Data Engineer (Remote - Canada) at Jobgether

Join a forward-thinking, data-driven organization where your engineering skills will directly contribute to unlocking insights that power better decision-making. Design and optimize scalable ETL pipelines and data architectures, working with vast datasets using technologies like SQL, Python, and Spark.

Requirements

• 5+ years of experience as a Data Engineer, with hands-on focus on ETL development using SQL and Python.
• Proficient in writing scalable and maintainable SQL for complex data transformations and logic.
• Strong Python programming skills with understanding of modular, object-oriented design and integration with cloud and relational databases (e.g., Snowflake, BigQuery, PostgreSQL).
• Experience working with Spark for large-scale, distributed data processing.
• Skilled in performance tuning, debugging, and working with JSON and APIs.
• Solid knowledge of data warehousing concepts and dimensional modeling.
• Familiarity with CI/CD pipelines and platforms like Palantir is a plus.
• Strong communication and problem-solving skills; ability to work collaboratively in remote-first environments.
• Bachelor’s degree or higher in Computer Science, Engineering, or related field.

Benefits

• Fully remote work structure with flexible scheduling.
• Performance-based rewards and clear leadership support.
• Generous paid time off policy.
• Health and wellness support including healthcare coverage.
• Professional growth and development opportunities in a mission-driven, values-led company.