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K-Tek Resourcing LLC
Full Stack Data Engineer
Career Insights for Full Stack Developer
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Based on Pennsylvania data
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What they do
A Full Stack Developer writes code to support all aspects of a web-application, including the front-end which implements the visual elements and the back end which provides the business logic in the application. Needs to be skilled in front-end language such as javascript, back end languages such as Python, Ruby or PHP and database languages such as SQL. Analyzes customer or user needs, designs programs, writes code, tests design, and documents programs. May assist with upgrades or maintenance.
$116,203 / year median in Pennsylvania
+15% projected growth
Job Description
Senior Full-Stack Data Engineer Job Overview We are seeking an experienced Senior Full-Stack Data Engineer with 10-15 years of hands-on experience in data engineering, data architecture, and cloud-native data platforms. The ideal candidate will have strong expertise in AWS, SQL, Python, PySpark, ETL/ELT, and modern data technologies . This role will be responsible for designing, developing, optimizing, and supporting next-generation data platforms at scale. The candidate will also provide technical leadership, contribute to architectural decisions, mentor team members, and deliver high-impact data solutions in a fast-paced environment. Key Responsibilities Design and develop scalable data pipelines, ETL/ELT frameworks, and cloud-based data platforms . Architect and optimize data solutions using AWS services and modern data engineering technologies . Build and maintain high-volume, petabyte-scale data infrastructure in cloud-native environments. Develop robust data processing solutions using Python, PySpark, and SQL . Work with data lake and lakehouse technologies, including Apache Iceberg and AWS Glue Catalog . Develop and optimize data models and transformations using dbt Core . Work with data warehouses and query engines such as Snowflake, Redshift, and Athena . Implement and support data integration solutions using Talend and AWS services. Leverage AWS streaming technologies for near-real-time data processing. Implement appropriate security, access controls, networking, and governance using