Job Description

Job Description

Senior Data Engineer

Hybrid (Bethlehem, PA)

Contract

Applicants must be authorized to work in the U.S. without sponsorship

We’re looking for a Senior Data Engineer to join our growing technology team and help shape the future of our enterprise data landscape. This is a hands-on, high-impact opportunity to make recommendations, build and evolve a modern data platform using Snowflake and cloud-based EDW Solutions.

How You’ll Impact Results:

• Drive the evolution and architecture of scalable, secure, cloud-native data platforms
• Design, build, and maintain data models, pipelines, and integration patterns across the data lake, data warehouse, and consumption layers
• Lead deployment of long-term data products and infuse data and analytics capabilities across business and IT
• Optimize data pipelines and warehouse performance for accuracy, accessibility, and speed
• Collaborate cross-functionally to deliver data, experimentation, and analytics solutions
• Implement systems to monitor data quality and ensure reliability and availability of Production data for downstream users, leadership teams, and business processes
• Recommend and implement best practices for query performance, storage, and resource efficiency
• Test and clearly document data assets, pipelines, and architecture to support usability and scale
• Engage across project phases and serve as a key contributor in strategic data architecture initiatives

Your Qualifications That Will Ensure Success :

Required:

• 10+ years of experience in Information Technology Data Engineering:
• professional database and data warehouse development
• Advanced proficiency in SQL, data modeling, and performance tuning
• Experience in system configuration, security administration, and performance optimization
• Deep experience required with Snowflake and modern cloud data platforms (AWS, Azure, or GCP)
• Familiarity with developing cloud data applications (AWS, Azure, Google Cloud) and/or standard CI/CD tools like Azure DevOps or GitHub
• Strong analytical, problem-solving, and documentation skills
• Experience in system configuration, security administration, and performance optimization
• Proficiency with Microsoft Excel and common data analysis tools
• Ability to troubleshoot technical issues and provide system support to non-technical users.

Preferred:

• Experience integrating SAP ECC data into cloud-native platforms
• Exposure to AI/ML, API development, or Boomi Atmosphere
• Prior experience in consumer packaged goods (CPG), Food / Beverage industry, or manufacturing

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