Staff Engineer - Data Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Engineer - Data Engineering in the United States.

This is a high-impact senior engineering role at the intersection of data architecture, platform integration, and AI innovation. You will act as a technical leader across multiple data engineering teams, shaping scalable systems that unify data platforms and enable advanced analytics and machine learning capabilities. The role combines hands-on development with strategic influence, ensuring that architecture decisions support long-term growth and cross-product alignment. You will collaborate with product, engineering, and ML teams to translate complex business needs into robust data solutions. With a strong focus on modern data infrastructure and AI-driven features, you will help define the roadmap for next-generation data products. This is an opportunity to drive technical excellence, mentor engineers, and influence the evolution of a large-scale data ecosystem in a collaborative, remote-first environment.

• Design and lead the evolution of scalable, cross-platform data architecture, establishing standards and best practices across multiple engineering teams.
• Drive integration strategies that unify data systems and enable new cross-product capabilities, insights, and features.
• Lead the development of AI and backend infrastructure, including data pipelines, model-ready datasets, and deployment frameworks for machine learning and LLM-powered features.
• Build, maintain, and optimize large-scale data pipelines (batch and streaming) to support analytics and operational use cases.
• Collaborate with cross-functional teams to translate business requirements into efficient, scalable technical solutions.
• Mentor and support data engineers, identifying skill gaps and elevating overall team capabilities through leadership and knowledge sharing.
• Evaluate and prototype emerging technologies, particularly in AI and data infrastructure, to drive innovation and improve system performance.
• Contribute to engineering planning, roadmap prioritization, and participate in on-call rotations to ensure system reliability and performance.

Requirements:

• 8+ years of experience in data engineering, data architecture, or related fields within complex, large-scale environments.
• Proven experience designing and implementing distributed data systems across multiple products or business units.
• Strong expertise in cloud data warehouse technologies such as Snowflake, BigQuery, or equivalent platforms.
• Hands-on experience building scalable data pipelines using tools like Kafka, Spark, Airflow, or similar technologies.
• Experience integrating AI/ML capabilities into data systems, including working with large language models or advanced analytics pipelines.
• Strong programming skills in Python and deep understanding of modern data architecture principles.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated leadership experience, including mentoring engineers and driving technical best practices across teams.
• Familiarity with containerization and orchestration technologies such as Kubernetes is a plus.

Benefits:

• Competitive compensation ranging from $220,000 to $240,000 USD.
• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) plan with company matching contributions.
• Generous paid parental leave (up to 18 weeks for birthing parents, 12 weeks for non-birthing parents).
• Flexible work hours and fully remote work environment.
• Unlimited paid time off, plus holidays and end-of-year company closure.
• Stipends for phone, internet, wellness, learning, and coworking expenses.
• Annual company-wide in-person event and team gatherings.
• Inclusive, collaborative culture focused on growth, innovation, and work-life balance.