Senior Director - Client Data Solutions Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions! A career at Cielo will give you the opportunity to work with the
Essential Duties and Responsibilities: - Perform analysis and review of system requirements, estimations, peer reviews, test data determination and preparation, designing test strategy and test cases, executing test cases, and monitoring and control of overall test
Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company’s data warehouse and related data marts. As a Data Engineer, you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data pipelines and data models on cloud technologies. This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship. If youre ready to be part of a team that values your expertise and encourages your professional growth, apply today! Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration. Responsibilities: • Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision making. • Optimize data pipelines and models for performance, scalability, and cost-efficiency.