About the Role

Tech Lead Data Engineer role at Mitre Media, responsible for architecting and maintaining Databricks-based data pipelines that power AI-driven FinTech products. You'll design ETL workflows, ensure data quality, and mentor engineers while collaborating with leadership on data strategy.

Key Responsibilities

• Design, implement, and optimize large-scale ETL workflows in Databricks (Apache Spark, Delta Lake, DBT)
• Develop algorithms that transform raw market data into actionable insights
• Own data quality and lineage with tests, monitoring, and alerting for mission-critical pipelines
• Evolve cloud data platform (AWS & GCP) for scale, performance, and cost efficiency
• Mentor engineers and champion best practices in code reviews, documentation, and DevOps

Required Skills & Qualifications

Must Have:

• Expert in Python plus working knowledge of Scala or Java
• Hands-on experience with Databricks & Spark including cluster tuning and Delta Tables
• Strong analytical SQL, modular data-model design, and CI/CD for transformations
• Production experience on AWS or GCP data services (S3/GCS, EMR/Dataproc, Glue/Dataflow)

Nice to Have:

• Apache Airflow, Luigi, or Dagster for DAG orchestration
• Experience with Looker, Tableau, or similar visualization stacks
• Financial-markets domain knowledge (equities, ETFs, mutual funds)
• Machine-learning engineering or statistical-analysis background

Benefits & Perks

• Competitive compensation ($150k - $185k CAD/USD plus benefits and performance bonuses)
• Remote flexibility within ±3 hours ET with optional hubs in Toronto and NYC
• Budget for conferences (Data+AI Summit, NeurIPS) and continuous learning
• Autonomy to work directly with CEO & CTO to shape data and AI strategy