Join Exadel as a Senior Data Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.

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 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.

What You'll Do

Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets
Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs
Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation

What You Bring

Strong proficiency in Python and SQL
Experienced in Spark or similar distributed processing technologies
Deep experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS)
Experience working with data streaming technologies (Kafka, Spark Streaming, etc.)
Experienced in data modeling (preferably in finance or insurance)
Familiarity with MongoDB and document-oriented data sources
Experience with data lake patterns: medallion architecture (bronze/silver/gold), schema management, incremental processing
Comfort with IaC (CloudFormation or Terraform)
Ability to debug data quality issues across distributed systems
Experience implementing data quality frameworks (e.g., Great Expectations) to ensure pipeline reliability and data integrity

Nice to Have

Experience in subrogation, claims processing, insurance or financial technology

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.

Data Engineer, Quality

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