Senior Data Engineer: AI-Driven Analytics & Pipelines

Delta Faucet; Indianapolis (IN); On-site; USD 89,000 - 139,000; Full time

Benefits offered by this job

Culture of inclusion

Wellbeing benefits

Learning & Development

Volunteer opportunities

Job summary

Delta Faucet Company in the United States seeks a Senior Data Engineer to lead scalable data pipelines for omni-retail analytics, AI/ML initiatives, and enterprise data platforms.

You will integrate POS, eCommerce, and third-party data sources, standardize data definitions, and collaborate with analytics and business teams to enable reliable, feature-ready datasets for modeling and executive decision making.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Experience designing and maintaining scalable data pipelines in a cloud-based environment.
• Strong SQL and Python for data transformation and pipeline development.
• Hands-on with distributed data processing (PySpark/Spark).
• Experience with APIs and integrating data sources.
• Data modeling concepts (dimensional modeling, fact/dimension).
• Experience implementing data quality, validation, and monitoring.
• Ability to work across technical and business teams.
• Strong problem-solving skills with complex data environments.

Responsibilities

• Design, build, and maintain scalable data pipelines across POS, eCommerce, third-party, and enterprise data sources.
• Lead cross-platform data integration across APIs, file ingestion, cloud storage, and analytics environments.
• Develop end-to-end data workflows from ingestion through transformation to consumption.
• Create feature-ready datasets for 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 SAP, Salesforce, and Snowflake into the analytics ecosystem.
• Mentor and guide team members on data engineering best practices and scalable design patterns.

Skills

SQL

Python

Data modeling

Data quality

Problem solving

Cross-team collaboration

Tools

Databricks

Airflow

Azure Data Factory

Spark / PySpark

Cloud platforms (Azure, AWS, GCP)

Job description

Delta Faucet Company in the United States seeks a Senior Data Engineer to lead scalable data pipelines for omni-retail analytics, AI/ML initiatives, and enterprise data platforms.

You will integrate POS, eCommerce, and third-party data sources, standardize data definitions, and collaborate with analytics and business teams to enable reliable, feature-ready datasets for modeling and executive decision making.