Senior Data Engineer

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 leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

Python, PySpark, AWS, Airflow, SQL, Unix, Hadoop, Spark

• Own and be responsible for data engineering projects from start to finish
• Build end-to-end data flows from sources to fully curated and enhanced data sets. This can include the effort to locate and analyze source data, create data flows to extract, profile, and store ingested data, define and build data cleansing and imputation, map to a common data model, transform to satisfy business rules and statistical computations, and validate data content
• Modify, maintain, and support existing data pipelines to provide business continuity and fulfill product enhancement requests
• Provide technical expertise to diagnose errors from production support teams
• Participate as both a leader and a learner in team tasks for architecture, design, and analysis
• Be a mentor and be supportive to the growth of other Engineers
• Coordinate within the European team as well as work seamlessly with the US team

• Master’s or bachelor’s degree with Engineering/Programming/Analytics Specialization
• 4 + years’ experience with building, maintaining, and supporting complex data flows with structural and unstructural data
• Proficiency in Python and PySpark
• Hands-on experience in AWS components such as EMR and S3
• Experience in Apache Airflow to orchestrate and schedule complex data flows
• Ability to use SQL for data profiling and data validation
• Experience in Unix commands and scripting

• Experience and understanding of Continuous Integration and Continuous Delivery (CI/CD)
• Knowledge in performance tuning in a distributed computing environment (such as Hadoop cluster or EMR)
• Prior experience in managing other engineers and leading projects
• Familiarity with BI tools (such as Tableau) and commonly use data modeling techniques.
• Interest in and familiarity with AI models, including experience using commonly available Generative AI (GenAI) tools

Upper-Intermediate

• 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.