Data Engineer role at an AI-powered marketing technology company building a proprietary consumer data platform covering 270M+ U.S. consumers. Responsibilities include investigating and transforming large datasets, building scalable data pipelines, and developing domain expertise across consumer data. Requires 2+ years of experience with Python, SQL, and data engineering tools.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Data Engineer
📍 New York, NY | On-site, 5 days/week
💼 Full-time | Visa transfers supported
About the Role
Our client is an AI-powered marketing technology company building a proprietary consumer data platform covering 270M+ U.S. consumers and 2,000+ attributes.
We’re looking for a Data Engineer with 2+ years of experience to turn complex, messy datasets into trusted, production-ready data products.
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What You’ll Do
- Investigate and transform large, complex datasets.
- Build and operate scalable data pipelines.
- Identify and evaluate new data sources.
- Develop domain expertise across consumer data.
- Partner with data scientists, engineers, and customer-facing teams.
- Own projects end-to-end in a fast-paced environment.
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Requirements
- 2–5+ years in data engineering, applied data science, or analytics engineering.
- Strong Python and SQL skills.
- Experience working with large or complex datasets.
- Strong problem-solving and first-principles thinking.
- Ability to work independently and take ownership.
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Tech Stack: Python, SQL, Dagster, dbt, Snowflake, Spark, Apache Iceberg, Trino
Why Join?
- Work at the intersection of AI, data, and applied data science.
- High ownership and fast-paced environment.
- Work with a highly technical team from top companies and universities.
- Build products used by leading consumer brands.
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