Senior Data Engineer

Why Join ExadelWe’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 ClientThe 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 DoDesign, 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 requestsDesigning and implementing complex ingestion and analysis pipelines and other BI solutionsInterface 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 technologiesWork with customers to understand, gather, and analyze their data sources and define/implement the ingestion strategyWhat You Bring5+ 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 datasetsKnowledge of AWS DataOps (i.e. IAM, Lambda, Step Functions, EMR/Glue and DynamoDB)Expertise in SQL/Non-relational, Data Modeling, ETL Development leveraging Python and Data WarehousingProficiency with using big data technologies (PostgreSQL, Hadoop, Hive, HBase, Spark)Background in working with data streaming technologies (Kafka, Spark Streaming, etc.)Expertise in data management and data storage best practicesDemonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutionsSkills owning a feature from concept to production, including proposal, discussion, and executionNice to haveBackground in financial services, including banking, insurance, or an equivalentDegree in computer science, engineering, mathematics, or a related field English levelUpper-IntermediateLegal & Hiring InformationExadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and moreReasonable accommodations are available to enable individuals with disabilities to perform essential functionsPlease note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needsYour Benefits at ExadelExadel benefits vary by location and contract type. Your recruiter will fill you in on the details.International projectsIn-office, hybrid, or remote flexibilityMedical healthcareRecognition programOngoing learning & reimbursement Well-being programTeam events & local benefits Sports compensation Referral bonuses Top-tier equipment provisionExadel CultureWe 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.