Senior Data Engineer: Enterprise Pipelines & AI

Delta Faucet Company; Indianapolis (IN); On-site; USD 88,700 - 139,260; Full time

Benefits offered by this job

LinkedIn Learning access

Tuition reimbursement

Retirement plans and employee benefits

Paid volunteer day annually

Internal cross-project opportunities

Job summary

Delta Faucet Company is seeking a Senior Data Engineer to design, develop, and scale enterprise data pipelines powering omni-retail analytics, advanced modeling, and AI/ML initiatives. You will manage a POS-driven data ecosystem across retailers, APIs, third-party data providers, and internal systems.

You will collaborate with analytics and data science teams to standardize data definitions, improve data quality, and automate data preparation, enabling reliable, feature-ready datasets for

Qualifications

• 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.

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.

Skills

5+ years experience

SQL

Python

PySpark

APIs integration

Data modeling

Data quality monitoring

Cloud platforms

Data governance

Stakeholder collaboration

Tools

Databricks

Airflow

Azure Data Factory

Snowflake

Job description

Delta Faucet Company is seeking a Senior Data Engineer to design, develop, and scale enterprise data pipelines powering omni-retail analytics, advanced modeling, and AI/ML initiatives. You will manage a POS-driven data ecosystem across retailers, APIs, third-party data providers, and internal systems.

You will collaborate with analytics and data science teams to standardize data definitions, improve data quality, and automate data preparation, enabling reliable, feature-ready datasets for