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ChartbeatCH

Staff Engineer - Data Engineering

Chartbeat offers innovative real-time analytics and content optimization tools to help media publishers enhance audience engagement and make data-driven editorial decisions.

Chartbeat

Employee count: 51-200

Salary: 220k-240k USD

United States only

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Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization.

Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance.

About the Role

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.

About You

  • 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.

Diversity, Equity, and Inclusion Statement

At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves. We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain a diverse, equitable and inclusive ecosystem.

Equal Opportunity Employment Statement

Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
Chartbeat's CCPA disclosure notice can be found here.

About the job

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Job type

Full Time

Experience level

Salary

Salary: 220k-240k USD

Experience

8 years minimum

Location requirements

Hiring timezones

United States +/- 0 hours

About Chartbeat

Learn more about Chartbeat and their company culture.

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Through groundbreaking technology, we are revolutionizing media analytics at Chartbeat. Our innovative platform delivers real-time insights and powerful optimization tools, specifically designed to enhance content engagement for publishers worldwide. With a commitment to maximizing audience loyalty, Chartbeat empowers newsrooms and content teams with intuitive analytics that go beyond traditional metrics like clicks and pageviews. We believe that today’s content creators need actionable insights to understand what resonates with their readers, and our solutions provide just that.

By partnering with thousands of media brands across over 70 countries, we help right-sized the unique growth potential of each content team. Our tools enable publishers not only to increase readership but also to make informed editorial decisions in real time. Features such as customizable dashboards, historical trend analysis, and competitive benchmarking allow for a comprehensive understanding of audience dynamics. Additionally, our focus on real-time data has transformed how news organizations operate, enabling them to adapt swiftly to changes in reader behavior. As we explore the future of media together, Chartbeat remains dedicated to equipping content creators with the resources needed to thrive in an ever-evolving landscape.

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