Staff Engineer - Data Engineering

Accountabilities:

• 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.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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