Principal Data Engineer

About Job Get

As the #1 app focused on everyday workers, Job Get is redefining the future of hiring. Founded in 2019, Job Get began as the only mobile-first hiring platform for everyday workers. Since then, we’ve grown by joining forces with Snagajob, the largest hourly job board in the U.S., followed by Seasoned, the leading platform for restaurant hiring. Each acquisition has brought Job Get closer to the frontline, making the platform faster, smarter, and more effective.

Principal Data Engineer
Job Get
Data Science
Vancouver, BC, Canada
Posted on Aug 3, 2026

We’ve designed our values to be more than just buzzwords; they’re things we can do. We hope that our culture reflects our values by our commitment to living them every day.

• Teamwork
  - We make time to help colleagues across Job Get succeed.
• Excellence
  - We set ambitious targets, put in extraordinary effort, and persevere until we have accomplished — or exceeded — our goals.
• Innovation
  - We’re a team of creative, outside-the-box thinkers who thrive in a continuously evolving environment. To us, innovation is about questioning the status quo and always striving to do things better.

• Resilience
  - By remaining resilient and adaptable, we grow stronger as individuals and as an organization.
• Accountability
  - We operate with an ownership mentality where everyone feels a sense of responsibility to make us better and always act in the best interest of Job Get.
• Speed
  - We make decisions fast and execute them even faster. Bias for speed is one of our core strengths and a key advantage over our competitors.

• Respect
  - We treat each other with mutual respect, kindness, and celebrate our differences.
• Learning
  - We ask questions and seek to understand by being genuinely curious & communicative.
• Culture
  - We believe that each of us is responsible for our culture. It requires self-discipline and the drive to contribute to something greater than ourselves.

As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision ’ll own the data architecture behind our platform that connects hundreds of millions of job seekers with employers across dozens of industries; and you’ll do it at the intersection of high-throughput pipelines, real-time matching signals, and AI-driven product experiences.

• Drive Architectural Decisions:
  Lead design reviews for critical platform components, evaluating trade-offs across scalability, cost, reliability, and time-to-insight.
• Champion Modern Data Stack Adoption:
  Evaluate and introduce best-in-class tooling (Databricks, Snowflake, dbt, Kafka, etc.) aligned with engineering principles and business needs.
• Ensure Platform Reliability:
  Own the observability, alerting, and operational readiness standards for tier-1 pipelines, including runbooks, failover strategies, and reprocessing protocols.
• Autonomy & Decision Making:
  Demonstrate high resourcefulness; you are empowered to make significant technical decisions and drive projects end-to-end with limited oversight.

• Build Production-Grade Pipelines:
  Design and implement robust batch data pipelines using Snowflake and dbt as the core of Job Get’s transformation layer, ingesting and serving data across product telemetry, marketplace signals, employer activity, and candidate behavior.
• Lead Data Modeling Decisions:
  Establish data modeling standards (schema design, dimensional modeling, and data contracts) that serve analytics, ML feature engineering, and product instrumentation.
• Solve the Hardest Problems:
  Personally take on the most complex data integration, performance, and reliability challenges that require principal-level judgment and hands-on implementation.
• Support Real-Time & Near-Real-Time Needs:
  Architect and evolve streaming data infrastructure using technologies such as KSQL and Apache Flink to power real-time matching, recommendation, and product decisioning systems.

• Enable Machine Learning at Scale:
  Partner closely with Platform Engineers and Data…