Senior Data Engineer, Growth, Insights & Analytics

Here’s what we are looking for: 

Reporting to the Sr Director, Media Analytics, the Sr Data Engineer is responsible for building and scaling the data infrastructure that enables insights, analytics, and decision-making across Edgewell’s portfolio of brands. This role will lead the development of modern, cloud-based data platforms and pipelines that unify complex data sources (e.g., retail POS, syndicated data, retail media, e-commerce, and supply chain) into a trusted, accessible foundation for the organization.

This individual should have a passion for building scalable data solutions that drive business impact. The ideal candidate is a self-starter and able to communicate with and work across multiple teams. This role requires both strong technical expertise and the ability to translate business needs into actionable data solutions that support brand growth, digital commerce, and retail media effectiveness.  In this role as lead developer, the majority of data streams and ETL work will be accomplished leveraging SQL and Python within current stack (Azure, Snowflake, dbt, PowerBI).

This position will have a hybrid (3x/week) at either our Shelton, CT or NYC office

Key Responsibilities

Cloud Data Infrastructure & Platform Engineering

1. • Lead and own the design, development, and optimization of 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 (lakehouse architecture) leveraging technologies such as Snowflake, Databricks, Redshift, or BigQuery, enabling high-performance analytics and data accessibility
   • Collaborate with IT and Architecture teams to align on cloud strategy, data infrastructure, and enterprise technology roadmaps

Data Integration & Media Analytics Enablement

1. • Integrate and manage diverse data sources, including retailer POS, syndicated data (e.g., Nielsen/Circana), e-commerce, ERP systems, and retail media platforms (e.g., Amazon Marketing Cloud, Walmart Luminate, Kroger Precision Marketing)
   • Develop and optimize pipelines for ingesting and transforming retail media, digital advertising, and campaign performance data (e.g., Amazon Ads, DSP, paid search, social platforms)
   • Develop scalable and reusable data models, APIs, and curated datasets to support self-service analytics and business intelligence tools (e.g., Power BI)

Data Governance, Quality & Advanced Capabilities

1. • Ensure high standards of data quality, governance, security, and privacy compliance, implementing monitoring, metadata management, and lineage trackingContinuously evolve data engineering capabilities, including adoption of real-time/streaming pipelines (Kafka, Spark Streaming), automation frameworks, and AI-ready data infrastructure

Required Education, Skills and Experience

• 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:  Amazon Marketing Cloud (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)

Edgewell Values and Behaviors

We are seeking teammates who put People First by building relationships and fostering inclusivity, are ready to Move Forward through innovation and decisive action, embrace Listen Up, Speak Up by encouraging open dialogue and feedback, and are committed to Own It, Together by driving results through collaboration and accountability.

The EPC Insights and Analytics Team and Culture

We are a high-performing, collaborative team who bring the voice of the consumer, shopper and customer into our business and make a tangible business impact. We are developing cutting edge data, analytics and AI tools that give a significant competitive advantage. We foster a supportive team atmosphere to amplify individual strengths and curiosity.  We value a diversity of talent, experiences, and backgrounds to expand our team culture.

Work Environment (Hybrid)

This role follows a hybrid work model with regular presence in the Shelton, CT corporate office and/or in the NY, NY office 3 days / week. Occasional travel may be required for key business meetings or enterprise collaboration.

This description is based on management’s assessment of the requirements and functions of the job as of the date this description was prepared. It is a general guideline for managers and employees, but it does not purport to be an exhaustive list of all the elements of the job. Management reserves the right to modify the description at any time, or to vary the duties and responsibilities of the job on a temporary or indefinite basis to meet production, scheduling, or staffing needs.

The salary range for this position is $112,000–$168,000   Compensation for this position varies based on a range of equal opportunity factors, including but not limited to role scope, level of experience, relevant skills, education and credentials, external and internal benchmarks for equivalent roles and experience, business sector, and geographic location. Compensation decisions are based on the specific facts and circumstances of each case. In addition to base salary, the total rewards package may also include, for eligible roles, bonus, and long-term Incentive. Edgewell offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Your Talent Acquisition Partner can provide additional details regarding total rewards offerings and the applicable salary range for the relevant location(s) during the hiring process.

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