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.
What You’ll Do- Design, implement, and optimize end-to-end ETL/ELT pipelines to ingest data from various sources into data lakes and data warehouses
- Use Azure Data Factory (ADF) and Azure Synapse for orchestrating complex data workflows
- Write complex, optimized SQL queries and transformations to clean, aggregate, and structure data for business needs
- Monitor, troubleshoot, and optimize existing data pipelines and SQL queries for maximum efficiency and cost-control in the cloud
- Work closely with Data Analysts, Power BI developers, and stakeholders to understand data requirements and deliver production-ready data assets
- 4+ years of hands-on experience in Data Engineering with a focus on cloud-based ETL/ELT development
- Strong production experience with Azure Data Factory (ADF) and Azure Synapse Analytics
- Advanced knowledge of SQL (writing complex queries, stored procedures, indexing, and performance tuning)
- Solid understanding of Data Warehousing concepts (Star/Snowflake schemas, dimensional modeling)
- Experience working with different data formats (Parquet, JSON, CSV)
- Availability to work during U.S. business hours
- Experience with Databricks or PySpark
- Familiarity with Version Control tools (Git, Azure DevOps)
- Understanding of how data feeds into visualization tools like Power BI
- Azure certifications (e.g., DP-203: Azure Data Engineer Associate)
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
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
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.
Skills Required
- 4+ years of hands-on Data Engineering experience with cloud-based ETL/ELT development
- Production experience with Azure Data Factory (ADF)
- Production experience with Azure Synapse Analytics
- Advanced SQL (complex queries, stored procedures, indexing, performance tuning)
- Understanding of Data Warehousing concepts (Star/Snowflake schemas, dimensional modeling)
- Experience with data formats such as Parquet, JSON, CSV
- Upper-Intermediate English
- Experience with Databricks or PySpark
- Familiarity with version control tools (Git, Azure DevOps)
- Understanding of how data feeds into visualization tools like Power BI
- Azure certifications (e.g., DP-203: Azure Data Engineer Associate)
Exadel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Exadel and has not been reviewed or approved by Exadel.
-
Fair & Transparent Compensation — Pay is considered competitive for certain roles and locations, with timely and predictable payroll practices. Compensation ranges align to market in higher‑cost geographies and senior tracks, indicating offers can be strong when role and market justify it.
-
Healthcare Strength — U.S. medical insurance options are described positively, with health coverage and PTO called out as standouts. Company materials and third‑party listings consistently include comprehensive healthcare as a core benefit.
-
Wellbeing & Lifestyle Benefits — Flexible, remote‑first norms and outcome‑based work are positioned as core benefits. Learning support such as paid certifications, courses, and conferences is emphasized, alongside a well‑being program.
Exadel Insights
What We Do
For more than 20 years, Exadel has been delivering Digital Transformation services, enterprise and custom software solutions for Fortune 500 clients, including HPE, Deloitte, Home Depot and McKesson. With 20+ locations and delivery centers across the US and Europe, Exadel solves the most complex engineering problems using Agile methodologies, offering a scalable and skilled mix of multi-shore resources at the industry's most competitive price. Exadel’s digital transformation solutions and services help chart new strategies that are built upon creative thinking, cutting-edge design, and technical innovation, designed for the growing digital landscape of business. Enterprise Services - Digital Transformation Experts - Developing mission-critical software and mobile applications - Advising companies on how best to leverage open source technology - Helping companies plan and implement migrations to better technology stacks - Providing QA, automation, and testing services for application development - Supporting and maintaining applications and systems for companies - Providing on-line training and mentoring to companies - Assisting companies in evaluating their current enterprise software architecture and planning for improvements or new systems.
