Member of Technical Staff, Data Engineer

The role

You will build and own pipelines, integrations, and workflows to deliver reliable data. You will work with analytics engineers, data scientists, software engineers, and business teams to power analytics, operational workflows, and AI-powered features.

What you will do

• Build and maintain pipelines and integrations that move data between source systems, warehouses, and tools
• Turn data needs from analytics, data science, product, and go-to-market teams into datasets and workflows
• Develop and maintain data transformations using SQL, Python, and dbt
• Own data quality through validation, monitoring, and alerting
• Improve performance and cost across Snowflake, ClickHouse, AWS, and Dagster
• Develop and improve orchestration, automated testing, and CI/CD for data workflows
• Support analytics and machine learning workflows by building pipelines and datasets
• Own pipeline operation, investigate failures, and participate in on-call rotation
• Partner with Data Platform engineers to improve shared tooling

Required qualifications

• Proven experience building and maintaining production data pipelines, integrations, and transformations
• Strong Python and SQL skills
• Experience writing maintainable, tested production code
• Hands-on experience with dbt and orchestration frameworks such as Dagster, Airflow, or Prefect
• Experience with Snowflake, ClickHouse, or other modern data warehouses
• Experience with cloud services such as AWS
• Experience with automated testing and CI/CD for data workflows
• Strong problem-solving skills
• Ability to investigate issues across source systems, pipelines, and downstream datasets
• Clear communication skills

Benefits

• Base salary
• Equity
• Full range of benefits and perks

About the company

Profound is an AI marketing platform used by the Fortune 500 and innovators. It uses data from user prompts to help marketing teams with research, content, campaigns, and reporting.