Senior Data Engineer (Snowflake)

Join Exadel as a Senior Data Engineer (Snowflakes) and build scalable apps that make an impact. You’ll explore new tech, work with the latest tools, and thrive in a fast-moving Agile team.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

A U.S.-based education services provider offering online and campus-based post-secondary education, primarily serving military personnel, veterans, and public service communities. The organization delivers degree and certificate programs across disciplines such as nursing, health sciences, business, IT, and liberal arts. In addition to its headquarters in West Virginia, the customer operates facilities and partner institutions across the United States. The primary product areas to work with are learning management systems, student enrollment, and academic operations on web and mobile platforms.

What You’ll Do

• Support ongoing delivery of data engineering efforts across multiple parallel initiatives, including quarterly planning cycles and ad hoc data enhancement requests
• Design and implement extraction and transformation pipelines for the Enterprise Data Warehouse (EDW), using batch processing and Change Data Capture (CDC) techniques to ingest data from various engines
• Automate data ingestion processes, including API calls where direct database access is not feasible
• Build and maintain high-quality transformation logic to conform data from multiple source systems into consistent dimension and fact tables
• Apply modern dimensional modeling practices tailored for columnar storage systems like Snowflake
• Develop and maintain Data Quality processes to ensure accuracy, consistency, and reliability of data within the EDW
• Collaborate closely with business stakeholders, data analysts, and engineering teams to clarify requirements and support delivery

What You Bring

• 5+ years of experience in data engineering, with a focus on data extraction, transformation, and loading (ETL/ELT) for enterprise data platforms
• Deep knowledge of Change Data Capture (CDC), batch processing strategies, and understanding of delta vs. full data pulls
• Proficiency in building automated pipelines, including integration with external APIs for data retrieval
• Expertise in transforming data from disparate systems into structured models, including conformed dimensions and facts
• Solid understanding of dimensional modeling and best practices for columnar databases like Snowflake
• Experience in developing and executing Data Quality frameworks
• Comfort working across multiple concurrent projects and adjusting to evolving priorities
• Familiarity with collaboration tools like Jira and Confluence, and working in distributed, client-facing environments
• Strong command of English, with the ability to communicate effectively with technical teams, business stakeholders, and subject matter experts

English level

Intermediate/Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs