Data Engineer - Remote Eligible

Data Engineer @ Clay

We're looking for a Data Engineer to bridge the gap between raw data infrastructure and high-impact business insights and data products. You'll take ownership of our data models, pipelines, and platform architecture to ensure our analytics and data science foundation is scalable, durable, and consumable. Your work will enable better decision-making across teams - from Product and Engineering to Marketing, Finance, and Ops.

Clay's modern data stack includes Fivetran, Segment, Snowflake, dbt, Dagster, Hex, Sigma, Eppo, Census, Cube.dev and you'll play a key role in shaping how we use and evolve it to power strategic insight and operational excellence.

Impact You'll Have

• Own data pipelines : Design, build, and maintain reliable ETL/ELT pipelines, ensuring timely and accurate delivery of high-quality data across the organization

• Build a scalable foundation : Find ways to leverage and improve our current data models by architecting resilient, maintainable dbt models that serve as the trusted source of truth for analytics, experimentation, and data products

• Collaborate cross-functionally : Work closely with data scientists, engineers, and business teams to understand use cases and proactively develop data assets that support their goals effectively and scalably

• Drive architectural improvements : Identify opportunities to consolidate and improve our data platform, proposing improvements that ensure long-term scalability and flexibility

• Improve data quality, discoverability, and metric clarity : Design and implement robust systems for schema design, data validation, documentation, and governance, while defining and standardizing core business metrics and semantic definitions to ensure consistency across teams and tools

• Support self-serve insights : Enable teams with intuitive, trustworthy data products and tooling that allow less-technical users to explore data and develop solutions independently

• Plan for the future : Help define the evolution of Clay's data stack and architecture, including how we consolidate, transform, and surface data and intelligence for emerging use cases

What You'll Bring

• 6+ years of hands-on experience in analytics engineering, data engineering, or data management

• Strong ownership mentality and proven ability to design for scalability, durability, and reusability

• Expert in SQL, Python, AWS infrastructure, and modern data tools (emphasis on dbt, Dagster/Airflow)

• A passion for pragmatic solutioning while staying current on modern data and AI tooling, pushing the boundaries of GenerativeAI's role in Data Products and workflows

• Excitement for iterative, agile development processes and collaboration with diverse teams