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Lead Data Integration Specialist / Senior Full Stack Engineer Jobs (Hybrid work)

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Lead Data Integration Specialist / Senior Full Stack Engineer
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United States , New York
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Not provided
weareorbis.com Logo
Orbis Consultants
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Until further notice
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Explore lead data integration specialist and senior full stack engineer jobs, a pivotal hybrid role at the intersection of data architecture and comprehensive software development. Professionals in this career path are the cornerstone of modern data-driven organizations, responsible for designing, building, and maintaining the robust systems that unify disparate data sources with business applications. This unique position demands a rare blend of deep data engineering prowess and versatile full-stack development skills to create seamless, scalable data ecosystems. Typically, individuals in these roles are tasked with architecting and implementing scalable data integration platforms and pipelines. Their core responsibility is to ensure reliable, efficient, and secure data flow from numerous external partners, APIs, and internal systems into a cohesive data fabric that powers analytics, reporting, and product features. They translate complex business and technical requirements into a concrete development roadmap, often partnering with external vendors and internal stakeholders to co-create solutions. A significant part of the role involves crafting high-quality, production-ready code across the entire technology stack, from backend services to frontend interfaces that may monitor or configure data flows. Furthermore, they frequently provide technical leadership, mentoring engineers, establishing best practices, and guiding the technical vision for data integration initiatives. The typical skill set for these jobs is extensive. On the data integration side, expertise in working with external APIs, ETL/ELT processes, data modeling, and ensuring data quality and governance is paramount. As a senior full stack engineer, proficiency in both frontend technologies like TypeScript, React, and modern CSS, and backend frameworks such as Python/Django, Node.js, or Java Spring is essential. A strong command of relational databases like PostgreSQL and often cloud services (AWS, GCP, Azure) is required. Beyond technical acumen, successful candidates demonstrate exceptional problem-solving abilities, a collaborative mindset to lead and work within cross-functional teams, and the agility to adapt to evolving product landscapes. They are strategic thinkers who can prioritize tasks, define clear requirements, and facilitate productive technical discussions. For seasoned professionals with over a decade of experience, lead data integration specialist and senior full stack engineer jobs offer a challenging and rewarding career path. These positions are central to unlocking the value of data, requiring individuals who can bridge the gap between raw data and impactful user-facing applications, driving innovation and operational efficiency for their organizations.

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