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AmeriGas
Lead Data Engineer
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$113,315 / year median in Pennsylvania
+12% projected growth
Job Description
Lead Data Engineer
- Full Time AmeriGas
- King Of Prussia, PA Apply Now Posted on 05/26/26 (
Ref:
PAoGY3IWi9-28409-en_US)Requisition Number:
28409 When you work for AmeriGas, you be a part of something BIG! Founded in 1959, AmeriGas is the nation's premier propanepany, serving over 1.5 million residential,mercial, industrial and motor fuel propane customers. Together, over 6,500 dedicated professionals will deliver over 1 billion gallons of propane from 1,800+ distribution points across the United States. Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data models and ETL pipelines to meetanizational goals. This role requires proficiency in Snowflake, SQL, and Databricks, with extensive experience integrating data from multiple source systems. The Lead Data Engineer will be deeply involved in coding and implementation work while also serving as a thought leader in best data engineering practices, mentoring team members, and establishing technical standards across theanization. Duties and Responsibilities Hands-on development:- Personally design, build, and maintainplex ETL/ELT pipelines from diverse source systems using Snowflake and Databricks Direct technical contribution:
- Write production-quality code and SQL on a daily basis, serving as a primary technical contributor to critical data engineering projects
- Lead and manage a team of 1-3 data engineers, providing technical guidance, code reviews, mentorship, and performance management
- Architect and implement scalable data models and infrastructure that align with business objectives Thought leadership:
- Drive innovation and establish best practices in data engineering, serving as the subject matter expert for modern data platform capabilities
- Manage the full life-cycle development process for data engineering projects, from requirements gathering through deployment and maintenance
- Collaborate with data science and BI teams to enable deployment of scalable data solutions across thepany's ecosystem
- Establish and enforce data engineering best practices, coding standards, and quality assurance protocols through both leadership and example
- Provide expert-level support and hands-on troubleshooting for SQL optimization, data warehousing, and cloud data platform architecture
- Ad to stringent quality assurance and documentation standards using version control and code repositories (e.