Senior Data Engineer

Role overview

Build and operate data pipelines, transformation models, and infrastructure for cross-functional business initiatives. This hands-on role spans the full delivery cycle, from clarifying stakeholder needs and selecting suitable tools to deploying, monitoring, and maintaining production data assets across multiple business domains.

Responsibilities - Develop and own end-to-end ingestion and transformation pipelines, using orchestration, connector, modeling, and custom compute tools as appropriate. - Build and maintain tested, documented, reusable data models that support a semantic layer and downstream dashboards or internal applications. - Work with teams across marketing, finance, sales, legal, human resources, and product to scope data needs and translate them into technical specifications. - Contribute to infrastructure managed as code, including cloud resources and data connectors. - Apply team practices for version control, CI/CD, code review, observability, testing, and documentation. - Troubleshoot complex pipeline and data quality issues, monitor service commitments, support incident response, and protect personal data under relevant access and compliance requirements.

Requirements - At least four years of data engineering experience, including ownership of production pipelines. - Strong SQL and Python skills, including production coding, debugging, and query optimization. - Hands-on experience with a cloud data warehouse; Snowflake is preferred, with BigQuery or an equivalent accepted. - Production experience building and maintaining dbt models, plus experience with Airflow and Fivetran. - Experience with Databricks and Spark, AWS services such as S3 and Lambda, and GCP services such as BigQuery. - Ability to take ambiguous requests from initial scoping through delivery with limited oversight, and explain tradeoffs clearly to nontechnical partners. - Familiarity with CI/CD for data pipelines, team dbt projects, infrastructure-as-code tools, PII handling, and access controls.

Nice to have - Experience with Dagster or a comparable orchestration tool. - The ability to combine broad end-to-end engineering skills with deeper expertise in selected areas.

Benefits and work setup - The listing identifies the position as remote. The data platform includes Snowflake and BigQuery, Fivetran, Airflow, dbt, Databricks, Terraform, AWS, GCP, GitHub, and Tableau.