Senior Data Engineer

As a Senior Data Engineer, you’ll play a pivotal role in shaping the future of our data platform. Our goal is to deliver trusted, near-real-time data products that support analytics, AI applications, and customer-facing data features. You’ll collaborate across engineering, product, and analytics teams to build the architecture and tooling that powers insight and action.

Outcomes you will drive: 

• Build and maintain scalable, modular data pipelines using tools like dbt, Azure Data Factory, etc.

• Design batch and streaming data workflows that support near-real-time reporting and operational intelligence.

• Deliver high-quality, trusted datasets to enable analytics, dashboards, embedded apps, and AI use cases.

• Influence and guide the evolution of our data platform tooling and architectural decisions.

• Contribute to structured architectural patterns such as Medallion for layered, reusable data models.

• Drive data quality through testing, observability, and proactive alerting (e.g. dbt test, data contacts).

• Partner across teams to improve velocity, reusability, and access to data with documentation, lineage, and governance.

Does this sound like you?

Specific experience is less important than a demonstrable desire to learn and the ability to complete complex projects. However, a good candidate should have the following:

• 5+ years of experience in data engineering or analytics engineering roles

• Deep mastery of SQL and extensive, hands-on experience with Snowflake

• Strong experience with dbt or similar data transformation frameworks

• Proficient in Python, Scala, or similar languages used in data pipeline logic/automation

• Experience with orchestration tools like Azure Data Factory, Airflow, or similar

• Comfortable working in a modern, git-based development environment with CI/CD

• Experience with cloud-native data streaming technologies such as Azure Event Grid, 

• Exposure and understanding of Data Architectural patterns such as Medallion

• Experience using Infrastructure as Code tooling, Terraform a bonus

• Bonus: Experience working in Snowflake features such as Cortex, Data Shares, Snowpark

A few ways to stand out...

• Experience working in data visualization tools such as Redash and Gooddata

• Experience with semantic modeling or enabling data for AI applications

• You’ve productionized batch and streaming pipelines that scale

• You’ve contributed to tooling decisions or platform evolution in a growing data team

• You’ve supported external data products, analytics features, or ML/AI-powered applications

• You understand how to balance speed and governance across data lifecycle and tooling