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Journey

Senior Data Developer

Journey

Senior Data Developer working on ETL/ELT pipelines for BigQuery with an emphasis on Google Cloud Platform. Collaborating with teams to mentor others and utilize modern tech for data engineering tasks.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureBigQueryCloudETLGoogle Cloud PlatformKafkaPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Design and build scalable ETL/ELT pipelines for BigQuery, using Python and SQL.
  • Lead our implementation of DataForm for version-controlled, testable SQL transformations.
  • Define and maintain engineering standards: code review, CI/CD, monitoring, and testing.
  • Work with analysts, product engineers, and the AI team to turn business needs into robust data models.
  • Mentor teammates and help level up how Journey works with data.
  • Work with modern tech, use LLMs and agentic coding tools responsibly to speed up analysis and development.
  • Projects include migrating legacy Databricks ETL to GCP-native tooling, building cross-cloud ingestion pipelines, and setting up a DataForm-based transformation layer from scratch.

Requirements

What you’ll need
  • Strong production experience with Google Cloud Platform, especially BigQuery (partitioning, clustering, cost/performance tuning).
  • Hands-on experience with DataForm.
  • Advanced SQL proficiency—window functions, complex joins, and query optimization.
  • Solid Python skills for pipeline engineering and tooling.
  • Thorough understanding of ETL/ELT: orchestration, idempotency, data quality, observability.
  • Comfort with CI/CD practices and Git-based workflows (GitHub Actions, GitLab CI, etc.).
  • 5+ years in data engineering, with at least 2 years focused on GCP.
  • Experience with Databricks or PySpark in production environments is a nice to have.
  • Familiarity with AWS or Azure data services is a nice to have.
  • Exposure to Infrastructure-as-Code (Terraform) is a nice to have.
  • Knowledge of data streaming technologies (Pub/Sub, Dataflow, Kafka) is a nice to have.
  • Partnering with analytics or ML teams is a nice to have.
  • Ability to communicate clearly with non-technical colleagues is a nice to have.

Benefits

Comp & perks
  • Direct ownership and influence over a critical business platform.
  • You will join a team of disruptive thinkers, digital specialists and tech pioneers.
  • High quality hardware and development tools.
  • Flexible working — in the beginning we expect mostly office collaboration but over time you will get more remote flexibility.
  • Regular company off-sites.

ATS Keywords

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Hard Skills & Tools
PythonSQLETLELTDataFormGoogle Cloud PlatformBigQueryDatabricksPySparkTerraform
Soft Skills
mentoringcommunicationcollaborationleadership