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Profound

Data Engineer

Reposted 4 Days Ago
In-Office
New York City, NY
160K-250K Annually
Mid level
In-Office
New York City, NY
160K-250K Annually
Mid level
The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.
The summary above was generated by AI

Profound is looking for an experienced Data Engineer to own and scale our data platform. You will maintain and optimize our pipelines, design new ingestion processes, and support the data needs of our product, data science, and go-to-market teams. This is a great opportunity for someone who enjoys working with modern data tooling, improving performance and reliability, and building the foundation for ML-powered features.

What You’ll Do
  • Maintain and improve our data pipelines to keep data flowing reliably from ingestion to delivery

  • Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster

  • Own data quality by implementing monitoring, alerting, and validation

  • Manage and extend our infrastructure, including orchestration and CI/CD for data workflows

  • Support MLOps as we develop and productionize machine learning models

  • Be on call for critical pipelines and respond quickly to issues

  • Collaborate with data scientists, product managers, and engineers to launch new data products

What We Expect from You
  • Proven experience designing, building, and maintaining production data pipelines

  • Proficiency in Python and SQL

  • Hands-on experience with dbt, orchestration frameworks (such as Dagster, Airflow, or Prefect), and AWS

  • Familiarity with Snowflake, Clickhouse, or other modern data warehouses

  • Strong problem-solving skills and a proactive mindset

  • Experience with or interest in MLOps and supporting ML workflows in production

  • A sense of ownership and accountability for data quality and reliability

What You’ll Get Out of It
  • Access to some of the most interesting and rare data assets in AI, based on real human interactions with large language models

  • The chance to own and shape Profound’s data platform at an early stage

  • The opportunity to work on meaningful problems at the intersection of AI and marketing

  • A fast-moving culture with autonomy, trust, and room to grow

  • Competitive compensation and meaningful equity

This is an on-site role in our Union Square office—designed for builders who thrive on speed, iteration, and impact.

We’re happy to support visa sponsorship for qualified international candidates.

Top Skills

Airflow
AWS
Clickhouse
Dagster
Dbt
Prefect
Python
Snowflake
SQL
HQ

Profound New York, New York, USA Office

New York, NY, United States

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