Edgewell Personal Care Brands is seeking a Senior Data Engineer to design and scale cloud-based data infrastructure that powers insights and decision-making across its brands. You will lead the development of data platforms and pipelines that unify diverse data sources—from retail POS and syndicated data to e-commerce and supply chain—into a trusted, accessible foundation. This role is based in Shelton, CT with a hybrid work arrangement.
Responsibilities
- Design, develop, and optimize scalable cloud-based data pipelines and architectures (AWS, Azure, or GCP) to support enterprise analytics, reporting, and data science initiatives
- Build and manage a modern data platform using a lakehouse approach with Snowflake, Databricks, Redshift, or BigQuery to enable high-performance analytics and data accessibility
- Collaborate with IT and Architecture teams to align on cloud strategy, data infrastructure, and enterprise technology roadmaps
- Integrate and manage diverse data sources, including retailer POS, syndicated data (Nielsen/Circana), e-commerce, ERP systems, and retail media platforms
- Develop and optimize pipelines for ingesting and transforming retail media, digital advertising, and campaign performance data (Amazon Ads, DSP, paid search, social platforms)
- Create scalable and reusable data models, APIs, and curated datasets to support self-service analytics and BI tools (Power BI)
- Ensure high standards of data quality, governance, security, and privacy compliance with monitoring, metadata management, and lineage tracking
- Continuously evolve data engineering capabilities, including real-time/streaming pipelines (Kafka, Spark Streaming), automation frameworks, and AI-ready data infrastructure
Requirements
- Bachelor’s degree required; advanced degree preferred
- 6–8+ years of experience in Data Engineering, Data Platforms, or a related technical field
- Experience designing and building cloud-native data pipelines and architectures (ETL/ELT)
- Strong proficiency in SQL and Python (or similar languages such as Scala or Java)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern data stack tools including Snowflake, Databricks, Airflow, dbt, Fivetran, or similar
- Experience working with API-based data ingestion and integration frameworks, particularly for digital media and retail platforms
- Demonstrated ability to transform complex, high-volume data into clean, scalable, and usable datasets
- Experience implementing data governance, quality frameworks, and observability tools
- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly language
- Familiarity with CPG and omnichannel data ecosystems, including retailer POS, syndicated data (IRI/Nielsen/Circana), and digital commerce data sources
- Hands-on experience with retail media and advertising data platforms, including AMC, Amazon Ads/DSP, Walmart Luminate, Kroger Precision Marketing, or CitrusAd (Criteo Retail Media); Paid media platforms (Google, Meta, TikTok)
- Experience enabling MMM, retail media measurement, or marketing analytics use cases
- Knowledge of data modeling techniques for marketing, media, and commercial analytics
- Experience with real-time or streaming data pipelines (Kafka, Spark, or similar)
Technologies
- SQL, Python, Scala, Java
- Cloud platforms: AWS, Azure, GCP
- Snowflake, Databricks, Redshift, BigQuery
- Airflow, dbt, Fivetran
- Power BI
- Kafka, Spark Streaming
- Amazon Marketing Cloud, Amazon Ads, DSP, Walmart Luminate, Kroger Precision Marketing, CitrusAd
- Google Ads, Meta, TikTok
Benefits
- Medical, dental & vision coverage
- 401(k)
- Life, accident, and disability insurance
- Wellness programs
- Bonus
- Long-term incentive
Edgewell values and behaviors
Edgewell emphasizes putting People First by building relationships and fostering inclusivity, moving forward through innovation and decisive action, listening up and speaking up with open dialogue and feedback, and owning outcomes together through collaboration and accountability.
The EPC Insights and Analytics team and culture
The team is high-performing and collaborative, elevating the voice of the consumer, shopper, and customer to deliver tangible business impact. We develop cutting-edge data, analytics, and AI tools to create a competitive advantage while maintaining a supportive environment that values diverse talents, experiences, and backgrounds.
Work environment (Hybrid)
The role follows a hybrid model with regular presence in the Shelton, CT corporate office and/or the New York, NY office three days per week. Occasional travel may be required for key business meetings or enterprise collaboration.
