Senior Data Engineer
Role Overview
This senior role involves designing and maintaining scalable data pipelines using tools like Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some Azure Data Factory. The engineer will implement Medallion architecture, build dimensional data models, and ensure reliable ETL processes to support analytics and reporting for a U.S.-based education services provider, collaborating with teams using Jira and GitHub.
Perks & Benefits
The job offers a fully remote setup with locations in Brazil, Bulgaria, Colombia, Georgia, Lithuania, Poland, and Romania, requiring a minimum 4-hour overlap with US Eastern Time. It provides exposure to AI-first projects with Fortune 500 clients, fostering a collaborative and evolving culture, and includes opportunities for career growth in data engineering and tech domains.
Full Job Description
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
Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers Collaborate with teams using Jira for task tracking and GitHub for code repository management Ensure reliable ETL processes, data transformations, and data integration workflows Help improve data modeling practices and address weaknesses in dimensional modeling
What You Bring
Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory Strong understanding of Medallion architecture and dimensional data modeling Practical experience in building ETL pipelines and transforming data for analytics Familiarity with Jira and GitHub for collaborative work Strong analytical and problem-solving skills, with ability to collaborate across teams Minimum 4-hour overlap with US Eastern Time
Nice to Have Exposure to Power BI (optional)Experience with Salesforce data integrationBackground in higher education / ed-tech domains English level Intermediate/Upper-Intermediate Legal & Hiring Information
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