[Hiring] Staff Engineer - Data Engineering @Chartbeat

Role Description

This Staff Engineer role sits within Data Engineering and spans both the Chartbeat and Tubular divisions. The team includes several data engineers embedded across the two divisions. You will be a senior technical voice and contributor across all of them elevating architecture, enabling cross-division collaboration, and driving the AI roadmap. You will contribute and influence architectural decisions that determine whether our platforms compound or diverge as we integrate, and you will stay close enough to the code and contribute to it.

Responsibilities

• Design, own and contribute to the cross-division data architecture, establishing patterns and standards that scale across both Chartbeat and Tubular platforms.
• Lead the technical strategy for integrating data products across divisions, enabling new cross-brand features and insights.
• Drive the AI and backend infrastructure roadmap - from data pipelines that feed models to deployment patterns for LLM-powered features.
• Identify and close skill gaps across the data engineering team, actively mentoring engineers and elevating the collective technical ceiling.
• Collaborate with product, engineering, and ML teams to translate business needs into scalable architectural decisions.
• Establish and evolve best practices for data modeling, pipeline design, and system observability across the organization.
• Evaluate and prototype emerging AI and generative AI technologies for application to real-world product challenges.
• Participate in engineering planning and contribute to roadmap prioritization with a cross-division perspective.
• Be part of engineering on call rotation to monitor and maintain the health of our production systems.

Qualifications

• 8+ years of experience in data engineering, data architecture, or a closely related discipline.
• Proven experience designing large-scale data systems across complex, multi-product or multi-division environments.
• Strong proficiency with cloud data warehouse technologies (Snowflake, BigQuery, or equivalent).
• Experience building and maintaining data pipelines at scale, streaming and batch, using tools such as Kafka, Spark, Airflow, or similar.
• Demonstrated experience integrating AI and ML capabilities into data systems, including LLMs or foundation models in production environments.
• Strong Python and Data Architecture experience.
• Excellent communication skills - able to translate complex architectural decisions for both technical and non-technical audiences.
• A track record of elevating engineering teams through mentorship, documentation, and technical leadership.
• Experience with Kubernetes or containerized infrastructure is a plus.

Benefits

• Comprehensive Health, Dental, and Vision Insurance.
• 401K with company match (100% of the first 3% and 50% of the next 2%).
• Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents.
• Phone and internet stipend.
• Wellness, learning, and coworking reimbursements.
• Flexible work hours.
• Unlimited PTO.
• 11 paid holidays and December holiday closure.
• Annual In-Person Event.
• The compensation range for this position is $220,000-$240,000.