Senior Data Engineer, Growth, Insights & Analytics
$112k - $168kEdgewell
Senior Data Engineer, Growth, Insights & Analytics
Location: Shelton, CT, US
Edgewell is a global team of over 6,000 visionaries, doers and makers. Our secret is people, and we have an inspiring and collaborative global force of them. Our portfolio of over 25 brands touches lives in more than 50 countries by making useful things joyful. Together, we reimagine good mornings and endless summers, strive for more sustainable ways to beautify and bond, and do it all with not only confidence but determination. 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
- Data Integration & Media Analytics Enablement
- Data Governance, Quality & Advanced Capabilities
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.
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.
Edgewell is an equal opportunity employer. We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead. We prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any legally protected status in accordance with applicable federal, state and local laws. We listen deeply and speak directly to create an environment that's open to difference. We aim to bring joy to not only the products we create and the people we serve, but our colleagues across the globe too.
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