Member of Technical Staff, Data Engineer

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them. Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day. About the Role Profound is looking for an experienced Data Engineer to build and own the pipelines, integrations, and workflows that make data useful across Profound. Working closely with analytics engineers, data scientists, software engineers, and business teams, you’ll deliver reliable data that powers analytics, operational workflows, and AI-powered features. Your focus will be data movement and delivery, with work spanning ingestion, transformation, orchestration, and deployment. You’ll build on the architecture and tools developed within the Data Platform, contribute improvements to those systems, and own your workflows from development through production. This is a great opportunity for someone who enjoys solving practical engineering problems, understanding business needs, and building systems that other teams depend on. What you’ll do Build and maintain pipelines and integrations that move data reliably between source systems, warehouses, and the tools our teams use Work with analytics, data science, product, and go-to-market teams to turn their data needs into reliable datasets and workflows Develop and maintain data transformations using SQL, Python, and dbt Own data quality for your pipelines through validation, monitoring, and alerting Improve performance and cost across systems such as Snowflake, ClickHouse, AWS, and Dagster Develop and improve orchestration, automated testing, and CI/CD for data workflows using shared platform tools and patterns Support analytics and machine learning workflows by building the pipelines and datasets they depend on Own the operation of your pipelines, investigate failures and data issues, and participate in the on-call rotation for critical workflows Partner with Data Platform engineers to improve shared tooling and make data workflows easier to build, deploy, and operate Who you are Proven experience building and maintaining production data pipelines, integrations, and transformations Strong Python and SQL skills, with 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, automated testing, and CI/CD for data workflows Strong problem-solving skills and the ability to investigate issues across source systems, pipelines, and downstream datasets A sense of ownership and accountability for data quality, reliability, and the needs of the teams using your work Clear communication skills and the ability to translate business requirements into practical technical solutions Curious about unfamiliar parts of the stack and comfortable learning the tools needed to solve a problem Motivated by the opportunity to work responsibly with rare and interesting AI data based on real human interactions with large language models Excited to build systems that support Profound’s products and business in a culture with autonomy, trust, and room to grow Location This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. For this role, the expected base salary range is $140,000 to $260,000. Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring. #LI-DNI Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.