Sr. Data Engineer

About the role

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML initiatives. This role is responsible for managing a complex POS-driven data ecosystem spanning multiple retailers, APIs, third-party data providers, and internal enterprise systems. The ideal candidate will bring strong technical expertise and a strategic mindset to transform fragmented data workflows into a scalable, governed, and high-performing data platform. This role plays a critical part in modernizing the organization’s data architecture by enabling consistent, reliable, and feature-ready datasets that support statistical modeling, AI use cases, and executive decision-making.

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data preparation processes.

Responsibilities

• Design, build, and maintain scalable data pipelines integrating POS, eCommerce, third-party, and enterprise data sources
• Lead cross-platform data integration across APIs, file ingestion, cloud storage, and analytics environments
• Develop and manage end-to-end data workflows from ingestion through transformation to consumption
• Create and maintain feature-ready datasets to support statistical modeling, machine learning, and AI initiatives
• Standardize data models, schemas, and transformation logic across retailers and product hierarchies
• Implement automated data quality checks, validation frameworks, and monitoring processes
• Optimize data pipelines for performance, scalability, and cost efficiency
• Reduce manual data processing by automating ingestion and transformation workflows
• Collaborate with analytics and data science teams to translate business requirements into scalable data solutions
• Establish and enforce best practices for data governance, consistency, and documentation
• Support integration of enterprise systems such as SAP, Salesforce, and Snowflake into the analytics ecosystem
• Mentor and guide team members on data engineering best practices and scalable design patterns

Requirements

• 5+ years of experience in data engineering, data platform development, or related roles
• Proven experience designing and maintaining scalable data pipelines in a cloud-based environment
• Strong proficiency in SQL and Python for data transformation and pipeline development
• Hands-on experience with distributed data processing frameworks (e.g., PySpark, Spark)
• Experience working with APIs and integrating structured and unstructured data sources
• Strong understanding of data modeling concepts (e.g., dimensional modeling, fact/dimension design)
• Experience implementing data quality, validation, and monitoring solutions
• Ability to work across technical and business teams to deliver data-driven solutions
• Strong problem-solving skills with the ability to manage complex data environments

Preferred Qualifications

• Experience working with Databricks, lakehouse architectures, or similar platforms
• Exposure to AI/ML workflows, including feature engineering and model data preparation
• Familiarity with POS and retail data ecosystems (e.g., Home Depot, Lowe’s, Walmart, Amazon)
• Experience with third-party syndicated data sources (e.g., Stackline, Datavations, SimilarWeb)
• Knowledge of orchestration tools (e.g., Airflow, Azure Data Factory)
• Experience with cloud platforms (Azure, AWS, or GCP)
• Background in analytics engineering or building semantic/curated data layers

Benefits

• Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
• Learning & Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.
• Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.

Pay

Hiring Range: $88,700.00 - $139,260.00 USD. Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.