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Staff Data Engineer (remote)

Jobgether Hartford, Connecticut, US

About the Role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer. This role is vital in architecting and leading the data foundation that powers innovative data products. You will oversee the design, development, and maintenance of data systems, enhancing customer experiences through actionable insights and advanced machine learning. Your contributions will directly impact the efficiency, scalability, and performance of our data-driven initiatives, enabling the company to thrive. This is an opportunity to make a significant impact within a collaborative and dynamic environment. Accountabilities Design and maintain foundational data models for analytics. Collaborate with cross‑functional teams to deliver new initiatives. Develop frameworks and tools for scalable data products. Translate business requirements into scalable data models and dashboards. Lead complex data initiatives and create impactful analytical models. Requirements Bachelor’s degree or higher in relevant fields (Computer Science, Data Science, etc.). 7+ years of experience in Data Engineering. Proven experience in delivering data products and platform capabilities. Expertise with data stack technologies such as DBT, Snowflake, SQL, and Python. Strong understanding of data modeling best practices and data governance. Excellent problem‑solving, communication, and collaboration skills. Benefits Offers a competitive salary and 401(k) match. Flexible vacation day policy for work‑life balance. Fully remote work options with a monthly home office stipend. Access to family planning resources and specialized support programs. Opportunity for equity participation and long‑term growth. Learning and Development program to explore industry businesses. #J-18808-Ljbffr

Responsibilities

  • Architect and maintain data foundations for analytics
  • Lead data engineering initiatives and collaborate with cross-functional teams
  • Translate requirements into scalable data models and dashboards

Qualifications

  • Bachelor's degree or higher in CS/Data Science
  • 7+ years in Data Engineering
  • Experience delivering data products

Required Skills

DBT Snowflake SQL Python data modeling

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