Data Engineer | Wayne, Pennsylvania, United States Data Engineer - Contract to Hire (Hybrid, No Sponsorship) Location: Wayne, PA | Plano, TX | Charlotte, NC | Scottsdale, AZ Job Type: Contract to Hire (Hybrid, 3 days on-site/week) Eligibility: US Citizens/Green Card Holders only (no sponsorship provided) About the Role Join a forward-thinking team as a Data Engineer, Specialist and power the company's analytics and business intelligence initiatives. You'll architect and manage robust, scalable data pipelines and ETL processes that drive business insight and decision-making. This hybrid role offers exposure to advanced AWS cloud technologies, opportunities to lead solution development, and a path to permanent employment. Responsibilities - Design, build, and optimize scalable ETL processes for real-time and offline analytics - Develop and maintain data pipelines and database systems to ensure efficient integration and data flow - Troubleshoot, test, and validate code for accuracy, consistency, and integrity - Translate business requirements into technical specifications and high-quality code - Integrate large-scale data from diverse sources to support analytics - Collaborate with internal partners to understand business needs and deliver impactful solutions - Provide technical expertise in tools, technologies, and company-wide data systems - Lead solution development phases, mentor peers, and present technical considerations to stakeholders - Deliver training sessions and create job aids for team members and business users - Test and implement new software releases, coordinating with vendors as needed - Participate in special projects and other assignments as required Required Skills and Experience - 5+ years in data analytics, programming, database administration, or data management - Strong proficiency in SQL, Python, ETL processes - Hands-on experience with AWS services: Glue ETL, Lambda, Redshift, S3 - Experience with AWS infrastructure and CI/CD pipelines - Proficiency in Snowflake - Background in Data Integration, Machine Learning, and Data Governance - Bachelor's degree or equivalent experience - Must be able to work in the US without sponsorship Preferred Skills - Advanced experience with additional AWS analytics services - Prior experience teaching or mentoring technical teams - Experience with regression testing and vendor management Benefits - Opportunity for contract-to-hire conversion and long-term career growth - Exposure to cutting-edge cloud and data technologies - Collaborative, hybrid work environment with engaged teams - Direct impact on high-visibility business intelligence projects How to Apply Click "Apply Now" to submit your resume. Qualified candidates will be contacted for next steps. Face-to-face interview not required. Local and non-local candidates considered, but hybrid on-site attendance is required.