This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Data Engineer based in United States.
This role sits at the highest technical level of data engineering, responsible for defining and scaling the foundational data systems that power large-scale AI-driven products in a fast-growing enterprise environment. You will take ownership of complex, high-impact data challenges spanning ingestion, transformation, and delivery across multiple customer integrations and internal product teams. Acting as a technical leader and hands-on engineer, you will shape the architecture, tooling, and best practices that enable reliable, scalable, and efficient data workflows. The position requires deep expertise in modern data platforms and a strong ability to operate in ambiguous, fast-moving environments where solutions are not predefined. You will collaborate closely with product, machine learning, and customer-facing teams to ensure data systems meet real-world requirements at scale. This is a high-impact individual contributor role where your decisions directly influence platform reliability, product performance, and engineering velocity.
Accountabilities:
- Architect, build, and maintain scalable data systems and pipelines that power core product and AI-driven workflows from ingestion to production delivery.
- Own end-to-end resolution of complex and ambiguous data engineering problems, delivering robust solutions without predefined specifications.
- Define data architecture standards, engineering patterns, and reusable abstractions to improve integration speed and system consistency.
- Improve data reliability through monitoring, alerting, self-healing pipelines, and resilience strategies for real-world, messy enterprise data.
- Drive adoption of modern AI-augmented engineering workflows and tools to accelerate development and improve efficiency.
- Provide technical leadership through architecture reviews, code reviews, and mentoring of other engineers across teams.
- Partner closely with Product, ML, and customer-facing teams to align data systems with business and customer needs.
- Continuously evaluate and enhance data platform performance, scalability, and maintainability across evolving requirements.
Requirements:
- 8+ years of experience in data engineering with strong exposure to staff or principal-level responsibilities.
- Deep technical expertise in Python, SQL, PySpark, dbt, and workflow orchestration tools such as Airflow.
- Strong experience with modern data platforms such as Databricks, Snowflake, or equivalent cloud data ecosystems.
- Proven track record of building and scaling reliable ETL pipelines and data integration systems in production environments.
- Experience owning ambiguous, end-to-end technical problems and driving solutions independently in fast-paced environments.
- Strong understanding of data reliability, pipeline observability, and production-grade data engineering practices.
- Demonstrated interest in AI-assisted engineering and experience using AI tools or agentic workflows to improve productivity.
- Ability to work effectively with messy, real-world enterprise data and deliver pragmatic, scalable solutions.
- Strong collaboration and influence skills, with experience working across engineering, product, and business teams.
- Prior experience in retail, grocery, or supply chain domains is a plus but not required.
Benefits:
- Competitive U.S.-based salary range of $191,000 – $287,000.
- Meaningful equity participation for eligible employees.
- Comprehensive health, dental, and vision coverage with strong employer contribution.
- Mental health and wellness support programs, including counseling services.
- Flexible remote-first work environment with home office stipend and coworking support.
- Annual professional development budget to support continuous learning and career growth.
- Flexible paid time off to support work-life balance and recovery.
- Monthly stipends for wellness, lifestyle, and telecommunications needs.
- 401(k) retirement plan with company matching contributions.