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.

• Design, implement, and support scalable multi-tenant data infrastructure solutions to integrate with multi heterogeneous data sources; aggregate and retrieve data in a fast and secure mode; curate data that can be used in reporting, analysis, machine learning models, and ad-hoc data requests
• Designing and implementing complex ingestion and analysis pipelines and other BI solutions
• Interface with other engineering and ML teams to extract, transform, and load data from a wide variety of data sources using SQL/Non-relational and big data technologies
• Work with customers to understand, gather, and analyze their data sources and define/implement the ingestion strategy

• 5+ years of industry experience in software development, data engineering, business intelligence, or a related field with a solid track record of manipulating, processing, and extracting values from large datasets
• Knowledge of AWS Data Ops (i.e. IAM, Lambda, Step Functions, EMR/Glue and Dynamo
  
  DB)
• Expertise in SQL/Non-relational, Data Modeling, ETL Development leveraging Python and Data Warehousing
• Proficiency with using big data technologies (Postgre
  
  SQL, Hadoop, Hive, HBase, Spark)
• Background in working with data streaming technologies (Kafka, Spark Streaming, etc.)
• Expertise in data management and data storage best practices
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
• Skills owning a feature from concept to production, including proposal, discussion, and execution

• Background in financial services, including banking, insurance, or an equivalent
• Degree in computer science, engineering, mathematics, or a related field

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

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

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.