Staff Data Engineer in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.

This role sits at the center of a modern, data-driven organization, responsible for building and scaling the foundational data infrastructure that powers analytics, product intelligence, and machine learning use cases. You will design and evolve robust data architectures that serve as the single source of truth across the business. The work spans high-impact initiatives including data modeling, pipeline optimization, and customer-facing data products. You will collaborate closely with Product, Engineering, and Analytics teams to translate complex business needs into scalable data solutions. This is a senior technical role where your decisions directly influence product performance, operational efficiency, and customer experience. You will also help shape best practices in data governance, quality, and architecture across the organization.

In this role, you will be responsible for designing and scaling the core data ecosystem, enabling both internal teams and external customers to leverage high-quality, reliable data for decision-making and product experiences.

• Design and maintain scalable data architecture and semantic data models that serve as the single source of truth for analytics and reporting.
• Build and optimize end-to-end data pipelines and transformations using modern data stack tools such as dbt and Snowflake.
• Partner with Product, Engineering, and Analytics teams to define requirements and deliver data-driven product capabilities and insights.
• Develop and support customer-facing analytics features, dashboards, and reporting systems that enhance product value.
• Drive initiatives in data quality, governance, performance optimization, and observability across the data platform.
• Explore and implement advanced analytics and machine learning use cases such as forecasting, recommendations, and anomaly detection.
• Support Snowflake data sharing implementations and ensure secure, scalable access to enterprise and customer data.

This role requires a seasoned data engineering professional with strong architectural thinking, hands-on technical depth, and the ability to collaborate across multiple stakeholders.

• 7+ years of experience in Data Engineering, with a proven track record of building scalable data platforms and products.
• Strong expertise in modern data stack tools including Snowflake, dbt, SQL, and Python.
• Experience with BI and visualization tools such as Looker or similar analytics platforms.
• Solid understanding of data modeling principles including star and snowflake schema design.
• Experience delivering data products in partnership with Product and Engineering teams in fast-paced environments.
• Strong knowledge of data governance, data security, and data quality best practices.
• Experience working on machine learning or advanced analytics use cases is a strong plus.
• Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.

• Competitive base salary with additional equity and variable compensation opportunities.
• Fully remote work environment across the United States.
• Comprehensive health, dental, vision, and life insurance coverage.
• 401(k) retirement plan with company match.
• Flexible PTO policy supporting work-life balance.
• Monthly home office stipend to support remote work setup.
• Family planning support and employee wellbeing programs.
• Learning and development support, including professional growth resources.