The primary purpose of this role is to serve as a pivotal technical link between the Data Engineering team and the Product organization. Reporting directly to the Data Engineering department, this position will be responsible for executing and aligning data engineering strategies and processes in accordance with Technology Services standards. This person will work closely with the Data Solutions Product Manager to identify and undertake key projects and responsibilities that drive product development and innovation. As a bridge between technical and product realms, this role will ensure seamless integration of data engineering solutions into product initiatives, fostering a data-driven product development culture, and contributing to the overall growth and success of the organization.
Essential Functions:
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
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Join Mentor as a Staff Data Engineer, where you’ll play an integral role in connecting the dots between our Data Engineering team and the Product organization. In this key position, you will collaborate closely with the Data Solutions Product Manager, diving into exciting projects that stimulate product innovation and development. You will be the bridge that ensures our data engineering solutions seamlessly integrate into product initiatives, cultivating a thriving data-driven culture that propels Mentor forward. Your responsibilities will include engaging with stakeholders to clarify requirements, identifying necessary systems and architectures, and designing intentional databases that unveil new data use cases. Proficiency in building maintainable code, conducting unit tests, and ensuring your work adheres to security standards will be essential. You're also going to have a hand in crafting automation processes that manage our data effectively, as well as writing queries to manipulate raw data throughout its lifecycle. With the flexibility of a hybrid work model, you’ll spend around half your time in our office, where you can collaborate face-to-face with our dynamic teams. This is a fantastic opportunity for a tech-savvy individual who’s eager to contribute to Mentor’s success while advancing their own career in the fast-paced world of data engineering.
Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...
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