Data Engineer

Profound; New York (NY); On-site; USD 140,000 - 260,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

A leading AI-focused company in New York is seeking an experienced Data Engineer to own and scale their data platform. This role involves maintaining and optimizing data pipelines, managing infrastructure, and supporting machine learning workflows. Ideal candidates will have proficiency in Python and SQL, familiarity with modern data tools such as dbt and AWS, and a strong sense of data quality accountability. Competitive salary range of $140,000 to $260,000, along with equity and benefits, is offered.

Qualifications

• Proven experience designing, building, and maintaining production data pipelines.
• Hands-on experience with dbt and orchestration frameworks.
• Strong sense of ownership and accountability for data quality.

Responsibilities

• Maintain and improve data pipelines for reliable data flow.
• Optimize performance and costs across various data tools.
• Collaborate with data scientists to launch new data products.

Skills

Python

SQL

Data pipeline design

Problem-solving skills

MLOps

Data quality accountability

Tools

Snowflake

Clickhouse

AWS

dbt

Dagster

Airflow

Prefect

Job description

Profound is on a mission to help companies understand and control their AI presence. We are 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 machine learning-powered features.

What you’ll do

• Maintain and improve 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 infrastructure, including orchestration and CI or CD for data workflows

• Support MLOps as machine learning models are developed and productionized

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

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

Who you are

• 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 machine learning workflows in production

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

• Motivated by access to rare and interesting AI data based on real human interactions with large language models

• Excited by the opportunity to own and shape Profound’s data platform at an early stage

• Interested in working on meaningful problems at the intersection of AI and marketing

• Comfortable in a fast‑moving culture with autonomy, trust, and room to grow

• Drawn to competitive compensation and meaningful equity

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.