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Job Analysis:
The Engineering Manager – Data at Snapsheet is fundamentally hired to lead and evolve the data infrastructure, enabling scalable, efficient, and reliable claims management technology. The role encompasses both leadership and technical responsibilities, requiring an individual not only to manage a small team of engineers but also to engage in hands-on implementation and architectural decisions. This dual focus emphasizes a critical need for expertise in data engineering principles, particularly related to ETL processes, data validation, and scalability. Candidates will likely encounter challenges centered around enhancing the existing data pipeline while ensuring consistency and reliability, which are paramount for the overall claims processing efficiency that Snapsheet prides itself on. Success in this role would be reflected in the maturation of the data platform, successful project delivery, and the ability to mentor and grow the engineering team while aligning engineering outputs with business objectives.
Company Analysis:
Snapsheet occupies a pioneering position within the insurtech industry, leading the charge in claims management technology with a strong focus on automation and efficiency. As a company that is redefining traditional processes through technology, it presents an environment ripe for innovation but may also demand a fast-paced work ethic from its employees. The company culture seems to prioritize collaboration, continuous improvement, and strategic alignment with business goals, which is crucial for the Engineering Manager role. This position is situated within a relatively small but pivotal team that directly contributes to the company’s strategic growth—an aspect that promises visibility and influence within the organization. The role is not just about managing people but involves contributing to the bigger picture of evolving Snapsheet's data strategy in line with their mission to simplify insurance processes. Thus, candidates should be prepared for an environment where agility, data-driven decision-making, and proactive communication with various stakeholders are key to long-term success.