Lead Data Engineer

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.

g., Git, GitHub) Knowledge, Skills and Abilities Proficiency in Snowflake, including advanced features such as data sharing, streams, tasks, and performance optimization Expert-level SQL skills forplex queries, stored prores, and database optimization with ability to write highly efficient, production-ready code Extensive hands-on experience with Databricks, including Delta Lake, Apache Spark, and cluster management Proven experience designing and personally implementing ETL/ELT processes from multiple heterogeneous source systems Experience with QlikSense and QlikView for data integration and analytics (strongly preferred) Advanced working knowledge of Python and/or other programming languages for data engineering workflows Strong understanding of modern data architecture principles, including data warehousing, data lakes, and lakehouse architectures Excellentmunication skills with ability to effectively conveyplex technical concepts to both technical and non-technical stakeholders Business acumen with ability to identify risks, opportunities, and generate innovative solutions toplex data challenges Strong project management skills with ability to prioritizepeting demands and deliver results on time Collaborative mindset with experience working across data science, analytics, engineering, and business teams Minimum Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or related technical discipline required; Master's Degree preferred 5+ years of hands-on, individual contributor experience in data engineering with progressively increasing responsibility 2+ years of experience in a technical leadership or team lead capacity while maintaining significant hands-on coding responsibilities AmeriGas Propane, Inc. is an Equal Opportunity Employer. The Company does not discriminate on the basis of race, color, sex, national origin, disability, age, gender identity, sexual orientation, veteran status, or any other legally protected class in its practices. AmeriGas is a Drug Free Workplace. Candidates must be willing to submit to a pre-employment drug screen and a criminal background check. Successful applicants shall be required to pass a pre-employment drug screen as a condition of employment, and if hired, shall be subject to substance abuse testing in accordance with AmeriGas policies. As a federal contractor that engages in safety-sensitive work, AmeriGas cannot permit employees in certain positions to use medical marijuana, even if prescribed by an authorized physician. Similarly, applicants for such positions who are actively using medical marijuana may be denied hire on that basis. #LI-hybrid Apply Now State ⌄ Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Gia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Alberta British Columbia Manitoba New Brunswick Newfoundland and Labrador Nova Scotia Ontario Prince Edward Island Quebec Saskatchewan Northwest Territories Nunavut Yukon Please mention you saw this job on JobsInLogistics this job: