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Data Engineer

Paces
United Statesfull_timeVerifiedPosted 23 Jan 2026

About the role

Job Description Summary:
  • Design and implement scalable ETL data pipelines from hundreds of data sources.
  • Monitor and troubleshoot data workflows, ensuring uptime and issue resolution across production pipelines.
  • Build and manage data models to enable consistent and scalable access across applications and teams.
  • Maintain detailed documentation of data processes, architecture decisions, and pipeline configurations.
  • Develop and maintain internal data tools and frameworks to support data modeling, transformation, and validation.
  • Optimize storage and retrieval systems for performance and reliability.
  • Analyze large datasets to extract actionable insights and support machine learning and analytics initiatives. Ensure data quality, consistency, and security across the platform.
  • Participate in code reviews and provide technical mentorship on best practices for data engineering.
  • Develop and enforce version control and CI/CD strategies for data workflows and infrastructure code.
  • Collaborate closely with our CTO, Data Infra Lead, Product Lead, and team to directly impact product roadmap.

Qualifications:
  • Master’s degree in Engineering (any), IT/IS, Analytics (any) or related field of study and one (1) year of experience in the job offered or related occupation in which the required experience was gained.
  • Must also have demonstrated experience in the following: Data engineering concepts, algorithms, and system design; Programming languages, such as Python, Rust or Scala; SQL; Complex queries, query optimization, and working with various database systems; Big data tools such as Spark; Data pipeline tools such as Dagster, Airflow or Prefect; and Building robust, scalable and performant data pipelines on the cloud (AWS, GCP and Azure).

Primary Work Location:285 N 6th St, Flr 2, Brooklyn, NY 1211Additional Locations: N/AWork Shift: Not Specified
To apply submit a resume to https://jobs.gem.com/paces, or submit a resume to https://newyork.usnlx.com/index.asp. Must Reference Job Title: Data Engineer & Job Code: 000003. EOE.

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Paces

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