CCC is the technology platform for the underwritten assets economy. CCC technology, insights, and support connect industries – insurers, automotive manufacturers, collision repairers, parts suppliers, lenders, fleet operators and more – to advance decision-making, productivity, and customer experiences for thousands of clients worldwide. Clients leverage CCC’s network management, data management, AI, operational workflows and customer experience solutions to efficiently scale, interact, transact and achieve their unique business objectives. CCC was ranked a best mid-sized company to work for by Forbes (2019). BuiltIn Chicago, Austin and LA named CCC a top place to work in 2020. Diverse perspectives and experiences are core to CCC’s success and award-winning culture of more than 2,000 employees worldwide. We hold inclusion as a core value and are committed to celebrating and cultivating the diversity of our team. With a 40+ year track record of innovation, CCC’s tenacious spirit and growth mindset turn next generation technology into real world solutions and empower team members to expand their knowledge and potential. Headquartered in Chicago, CCC has 11 locations worldwide. CCC’s principal PE investors are Advent International, Technology Crossover Ventures, and Oak Hill Capital Find out more about CCC by visiting cccis.com.
The Enterprise Analytics team at CCC has an open position for a Data Engineer. The team builds platforms to provide insights to internal and external clients of CCC businesses in auto property damage and repair, medical claims and telematics data. Our solutions include analytical applications against claim processing, workflow productivity, financial performance, client and consumer satisfaction, and industry benchmarks. Our data engineers use big data technology to create best-in-industry analytics capability. This position is an opportunity to use Hadoop and Spark ecosystem tools and technology for micro-batch and streaming analytics. Data behaviors include ingestion, standardization, metadata management, business rule curation, data enhancement, and statistical computation against data sources that include relational, XML, JSON, streaming, REST API, and unstructured data. The role has responsibility to understand, prepare, process and analyze data to drive operational, analytical and strategic business decisions. The Data Engineer will work closely with product owners, information engineers, data scientists, data modelers, infrastructure support and data governance positions. We look for engineers who start with 2-3 years of experience in big data and who also love to learn new tools and techniques in a big data landscape that is endlessly changing.