Principal Data Engineer (R-19440)

8-12+ years of hands-on experience in data engineering or large-scale data processing.

Proven experience building and maintaining production-grade data pipelines and distributed systems.

Demonstrated experience architecting and delivering large-scale data platforms or mission-critical data systems.

Strong expertise in: SQL and relational databases (Postgres, BigQuery, Redshift, etc.), Python for data processing and analysis.

Experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions) and/or AWS (S3, Redshift, EMR, RDS).

Experience working with large-scale datasets (hundreds of millions to billions of records).

Strong understanding of data modeling, partitioning, indexing, and query optimization.

Experience with distributed data processing and parallelization techniques.

Experience moving large volumes of data across systems and architectures.

Familiarity with CI/CD, containerization, and orchestration tools (Docker, Kubernetes, GitHub Actions, etc.).

Strong debugging and troubleshooting skills in complex data environments.

Experience with version control (Git) and Agile tools (Jira, Confluence, etc.).

Highly analytical with strong attention to detail and a data-driven mindset.

Ability to hit the ground running, quickly understand systems, and deliver independently.

Comfortable working in a remote, fast-paced, and collaborative environment.

Proven ability to drive system design and implementation.

Preferred:

Experience with identity graphs, entity resolution, or record linkage systems.

Background in AdTech, digital identity, cookies, or audience data platforms.

Experience with real-time or streaming data systems.

Familiarity with data quality, observability, and monitoring frameworks.

Experience with data visualization tools (Looker, Tableau, Power BI).

Knowledge of data privacy, compliance, and governance considerations.

Experience with modern data platforms such as Snowflake and Databricks.

Exposure to AI/ML technologies, including experience working with or integrating agentic frameworks.