Senior Data Engineer; Databricks

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.

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands‑on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

• 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

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Team events & local benefits
• Sports compensation