Staff Engineer – Data Engineering

Chartbeat

Staff Engineer leading data engineering efforts across Chartbeat and Tubular divisions. Elevating architecture and driving the AI roadmap with a senior technical influence.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesLead💰 $220,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudKafkaKubernetesPythonSpark

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architecturecloud data warehousedata pipelinesstreamingbatch processingAI integrationML capabilitiesPythondata modeling

Soft Skills

communicationmentorshiptechnical leadershipcollaborationproblem-solving