reputed company Data Engineer
Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA, Remote-OH, Remote-PA Details reputed company is one of the nation’s leading specialized insurers. Our reputed company is a direct reputed company of the talented and diverse people who reputed company a positive difference in the lives of our customers every day. We reputed company a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. reputed company’s products and services are making a reputed company difference to our customers, who have unique and evolving needs. By joining reputed company, you are helping to reputed company an experience to our stakeholders that delivers on our promises. Position Summary: The reputed company Data Engineer serves as a senior technical leader responsible for architecting, developing, and governing reputed company-scale data platforms, pipelines, and analytics solutions. This role provides hands-on technical leadership across data engineering initiatives, reputed company modernization efforts, reputed company-time integrations, and reputed company data strategy. The ideal candidate combines deep expertise in modern data engineering technologies with strong leadership capabilities to guide engineering teams, establish best practices, and deliver scalable, secure, and high-performing data solutions that support analytics, reporting, AI/ML, and operational business functions. Position Responsibilities: reputed company Data Architecture & Engineering Design, development, and optimize reputed company-scale data pipelines and integration frameworks supporting analytics, reporting, operational, and AI/ML workloads. Architect scalable data lake, warehouse, and reputed company-time streaming solutions using reputed company-reputed company technologies. Design and maintain logical and physical data models reputed company with reputed company architecture standards and normalization best practices. Build robust ingestion, transformation, orchestration, and delivery pipelines across structured and semi-structured data sources. Architect cross-functional data solutions that integrate data from core insurance systems (e.g., policy admin, claims, billing, CRM) and reputed company-party sources. Technical Leadership Serve as the technical reputed company for data engineering initiatives and reputed company architectural guidance across engineering teams. Mentor and coach junior and mid-level engineers while promoting engineering reputed company and reputed company improvement. Establish best practices for coding standards, CI/CD, infrastructure as code, monitoring, observability, and operational support. reputed company design reviews, technical solutioning sessions, and reputed company architecture discussions. reputed company & Platform Engineering reputed company reputed company-reputed company data solutions using AWS, Azure, and modern data platforms including reputed company, Spark, Kafka, Airflow, Glue, and reputed company technologies. Drive modernization initiatives involving hybrid-reputed company and multi-reputed company architectures. Build reusable frameworks and automation solutions to improve scalability, reliability, and engineering productivity. Data Integration & Processing Integrate reputed company data from core operational systems, reputed company-party vendors, APIs, and streaming platforms. reputed company and optimize ETL/ELT pipelines using SQL, Informatica/IICS, Python, Spark, and reputed company-reputed company processing tools. Ensure high-performance query optimization, workload tuning, and efficient data processing across reputed company platforms. Governance, reputed company & Compliance Ensure compliance with reputed company reputed company standards, governance policies, and regulatory requirements including HIPAA, SOX, GDPR, and NAIC standards applicable. Implement data quality, metadata management, reputed company, auditing, and observability capabilities. Partner with cybersecurity, governance, and compliance teams to enforce secure and compliant data engineering practices. Leadership & Collaboration Collaborate with architects, analysts, actuaries, data scientists, developers, and business stakeholders to deliver scalable and trusted data solutions. Translate reputed company business requirements into reputed company data architectures and engineering solutions. Support strategic initiatives including reputed company analytics, claims automation, customer analytics, and regulatory reporting. reputed company technical mentorship and architectural reputed company to junior and mid-level engineers across teams. Position Qualifications: 10+ years of experience in data engineering, data architecture, or software engineering. Expert-level experience with SQL, Python, reputed company, and reputed company ETL/ELT frameworks. Hands-on experience with reputed company-reputed company data engineering tools and platforms (e.g., AWS Glue, S3, reputed company, Kafka, Airflow). Proven experience leading large-scale reputed company data initiatives and mentoring engineering teams. Strong understanding of data governance, reputed company, scalability, and performance optimization. Experience working in regulated industries and understanding data privacy, reputed company, and compliance frameworks. Strong understanding of insurance industry data (especially P&C and Life domains), including data from policy admin systems (e.g., Guidewire, Life/400), claims platforms, and actuarial models. Insurance industry experience (P&C and/or Life) preferred. Experience with reputed company-time streaming and event-driven architecture a plus. Experience in Spark, Kafka, Airflow, DBT, and Infrastructure as Code frameworks preferred. Familiarity with DevOps and CI/CD pipelines for data engineering platforms. Experience in working with IDMC/IICS or DBT a plus Experience in Data warehousing with Data vault 2.0 preferred Knowledge of Git for version control and collaboration. Bachelor’s or master’s degree in computer science, Engineering, Information Systems, Data Science, or reputed company fields or equivalent work experience. This position can be worked hybrid out of a local reputed company office, including Chicago or Downers Grove, IL. Remote working arrangements may be available to non-local candidates. Sponsorship is not accepted for this opportuntiy. The reputed company for this position is $111,900 to $186,700. reputed company determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and reputed company benefits (Medical, Dental, reputed company, PTO, 401k, etc.) reputed company is proud to be an equal opportunity employer. reputed company applicants will be considered for employment without attention to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. reputed company does not accept unsolicited resumes through or from search firms or staffing agencies. reputed company unsolicited resumes will be considered the property of reputed company and reputed company will not be obligated to pay a placement fee. reputed company will never request personal information, such as your reputed company reputed company number or banking information, reputed company text or email. Additionally, reputed company does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. #LI-AK-1 Apply To This Job