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Data Engineer - Marketing Science and Offerings

Ovative Group

Salary not specified
Jan 2, 2026
New York, NY, US
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Ovative Group is looking to solve the problem of transforming marketing into a driver of sustainable growth for its clients, including brands like Best Buy, Domino's, and American Eagle, by leveraging its proprietary MarTech platform, EMRge, and redefining success through data-driven approaches.

Requirements

  • 3+ years of relevant data engineering development experience, ideally in analytics- or modeling-heavy environments.
  • Proficiency with ETL/ELT for large data sets and building resilient API integrations.
  • Strong SQL and Python skills; comfort with command line and working in modern data stack workflows.
  • Experience with cloud-based platforms (e.g., GCP, AWS, or Azure); data warehouses and big data tools (e.g., BigQuery, Databricks); and pipeline/orchestration tools (e.g., dbt, Dagster, or Airflow).
  • Hands-on experience with advertising data platforms (e.g., Amazon Ads/AMC data exports, Google Ads API, Google Analytics Data API) and/or tools for connector management.
  • Practical experience using partner clean rooms—especially Amazon Marketing Cloud and Meta clean rooms—including SQL development, privacy-safe joins, experiment design, audience/overlap analysis, and templating/automation.
  • Experience contributing to Joint Technical Plans (JTPs) or similar partner/client technical roadmaps, with an ability to scope PoCs and scale pilots into production solutions.

Responsibilities

  • Enabling external data source access at scale (e.g., building and hardening API integrations with external partners like Google and Amazon) to power analytics, modeling, and reporting.
  • Expanding learning and usage of partner clean rooms (e.g., Amazon Marketing Cloud and Meta clean rooms) in order to enable experimentation and measurement.
  • Contributing to Joint Technical Plans (JTPs) with partners and clients, aligning on technical approaches, deliverables, and milestones that advance Ovative’s measurement and optimization capabilities.
  • Design, build, test, and deploy reliable data pipelines integrating external sources, with emphasis on APIs (e.g., authentication, pagination, rate-limit handling, backfills, schema evolution, and monitoring/alerting).
  • Expand Ovative’s use of partner clean rooms (e.g. Amazon Marketing Cloud, Meta clean rooms): activate, author and optimize SQL queries, design experiments and measurement analyses, and operationalize repeatable templates.
  • Lead or assist in the discovery of advertising data, mapping sources/structures to enable measurement-related reporting, analytics, and modeling.
  • Identify automation opportunities across ingestion, transformations (e.g., dbt), QA, and delivery to improve reliability, speed, and cost efficiency.

Other

  • 3+ years of relevant data engineering development experience.
  • Bachelor's degree in a relevant field (e.g., computer science, engineering, mathematics).
  • Ability to work in a fast-paced environment and collaborate with cross-functional teams.
  • Strong communication and problem-solving skills.
  • Ability to work in an agile environment and adapt to changing priorities.