Sr. Data Engineer

Watkins Wellness; Indianapolis (IN); On-site; USD 88,700 - 139,260; Full time

Job summary

Delta Faucet Company seeks a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines powering omni-retail analytics and AI initiatives. The role manages a POS-driven data ecosystem across retailers, APIs, and internal systems.

You will standardize data definitions, improve data quality, and reduce manual preparation while collaborating with analytics, data science, and business teams.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Experience designing and maintaining scalable data pipelines in cloud environments.
• Strong SQL and Python skills for data transformation and pipeline development.
• Hands-on experience with distributed processing frameworks (PySpark/Spark).
• Experience integrating APIs and structured/unstructured data sources.

Responsibilities

• Design, build, and maintain scalable data pipelines across POS, eCommerce, third-party, and enterprise sources.
• Lead cross-platform data integration across APIs, file ingestion, cloud storage, and analytics environments.
• Develop end-to-end data workflows from ingestion to consumption.
• Create feature-ready datasets to support statistical modeling and AI initiatives.
• Standardize data models, schemas, and transformation logic across retailers and product hierarchies.
• Implement automated data quality checks, validation, and monitoring processes.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Collaborate with analytics and data science teams to translate business requirements into scalable data solutions.

Skills

SQL

Python

APIs

Data Modeling

Data Quality

Monitoring

PySpark

Spark

Tools

Databricks

Spark

Airflow

Azure Data Factory

Snowflake

Job description

Sr. Data EngineerSkip to main contentBy using this site, you accept our use of cookies per our Applicant Privacy Policy.#Sr. Data Engineer page is loaded## Sr. Data EngineerApplylocations: US - Indiana - Indianapolistime type: Full timeposted on: Posted Todayjob requisition id: REQ53875At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.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.**Key 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**Required 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· 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**Why Join Us?**At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You’ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.Here are some of the benefits we offer for your personal and professional growth:* **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.## Company: Delta Faucet Company### ### Full time### ### 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.*Delta Faucet Company* *(the “Company”) is an equal opportunity employer and* *we* *strive to employ the most qualified individuals for every position***.** *The Company makes employment decisions only based on merit. It is the Company’s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.*