Workstate is looking for a Contract Data Engineer - Cloud & Data Warehouse to enhance our client's attribution and measurement platforms. You will be responsible for designing scalable data models, building robust data pipelines, and ensuring data governance and quality.

What You'll Do

Design and develop high-performance, scalable, and reliable data models for attribution and measurement platforms.
Build and maintain robust ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.
Collaborate with data engineers and analysts to define semantic layers and ensure consistency across data sources.
Manage the end-to-end pixel tracking solution, ensuring high availability and low-latency data capture.
Implement and promote best practices for data governance, data quality, and data security.
Enable self-service data access and analysis for stakeholders through well-designed data platforms and tools.
Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.
Contribute to the overall architecture and strategy of the data platform.

What We're Looking For

3–5 years of hands-on data engineering experience.
Strong track record of designing, building, and optimizing data platforms in high-volume or ad tech environments.
Strong collaborator who thrives in a cross-functional setting.
Effectively communicates technical concepts to diverse audiences.
Strong SQL skills, including complex joins, aggregations, and performance tuning.
Experience working with semantic layers and data modeling for analytics.
Solid understanding of data analysis and visualization best practices.
Passionate about data quality and governance, with an eye for detail.
Experience using version control systems, preferably Git.
Excellent communication skills and the ability to work cross-functionally.
Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift).
Experience migrating from legacy BI tools (e.g., Tableau, Power BI) to Looker.
Experience working in agile data teams and managing BI projects.
Familiarity with dbt or other data transformation frameworks.