Data Engineer - Marketing Science and Offerings

**About the Role:**The Data Engineer role on the Marketing Science and Offerings (MSO) Team is an opportunity to take your next career step at a fast-growing company with the highest standards for talent, fun, and client success. The MSO team supports direct consultative work for clients and acts as the internal proving ground for pre-product ideas.This role blends hands-on data engineering and lightweight applied data science to enable high-quality data foundations and advanced analytics. In this role, you will focus on:You will work within a cross-functional team responsible for creating, optimizing, and maintaining generalizable, repeatable, and scalable data solutions. You will collaborate closely with business stakeholders and a seasoned team of reporting analysts, data scientists and engineers throughout the data lifecycle—from ingestion through data modeling and feature engineering—in order to build analytics-ready data sets. Serve as a technical contributor on a high-performance data engineering, science, and advanced analytics team, owning scoped workstreams and delivering executional excellence.Provide technical assistance to teammates and help raise the collective expertise in APIs, clean rooms, and analytical data engineering.**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.Experience creating data/table architectures for analytics and modeling (dimensional designs, feature stores, slowly changing dimensions, partitioning/clustering). Experience implementing QA processes and automation (e.g., dbt tests, Great Expectations, anomaly detection/monitoring).Familiarity integrating data models within software products and measurement platforms; understanding of marketing, analytics, and customer data domains. Familiarity with agile tooling and collaboration (JIRA, Confluence) and with code versioning (GitHub).Benefits of Working at Ovative Group:We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work. Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.**Compensation and Insurance:** We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.401k match program Top-notch health insurance options, inclusive of same sex partnersFamily formation benefits including reimbursement options for fertility, pregnancy, and parenting needs #J-18808-Ljbffr