Data Engineer (Databricks, SQL)
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 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. Project Team Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers. Project Duration 6-month engagement with the possibility of extension. Project Tech Stack Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL. What You’ll Do 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 What You Bring 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 English level 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 Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.