Data Engineer, Data Product

About the Role

Join a data product team building trusted, production-ready datasets from complex consumer information. This role combines data engineering and applied data science, with a direct connection between the products you build and customer value.

What You'll Do

• Investigate large, unfamiliar datasets to understand their structure, coverage, relationships, and suitability for product use.

• Design durable data models and derived attributes that turn raw information into useful data products.

• Build and operate ingestion and transformation pipelines, including validation, observability, and backfills.

• Evaluate new data sources and determine how they can improve consumer data products.

• Develop deep expertise in one or more data domains, such as identity, property, or consumer intent.

• Partner with data scientists, platform engineers, and customer-facing teams to shape ambiguous questions into scalable products.

What We're Looking For

• Typically 2 to 5 years of experience in data engineering, applied data science, or analytics engineering; exceptional early-career candidates are also encouraged to apply.

• Strong Python and SQL skills, with hands-on experience working with large, messy, multi-source datasets and modeling their domains.

• Experience delivering production data pipelines and customer-facing data products, beyond internal dashboards or reporting.

• Familiarity with orchestration and transformation tools such as Dagster, Airflow, or dbt, and technologies such as Snowflake, Spark, Apache Iceberg, or Trino.

• Strong computer science or engineering fundamentals, independent problem-solving skills, and an interest in product and revenue-driven work.

• Experience mentoring or helping develop junior teammates is valuable.

Compensation & Benefits

Base salary: $180,000 to $225,000 annually. Visa sponsorship is available.

Location

On-site in New York, New York.