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.

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

QA Engineering Intern

Preferred Skills: Basic knowledge of Python, React, Angular, JavaScript

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Working at Chartbeat

During your time at Chartbeat, you can expect to work with a modern software development stack and engineering systems built for scale. You will also have a chance to meet heads of other departments such as Sales, Finance, Product and more, who will give you a view into what and how they work, it will be an opportunity not only to dive into all things engineering, but also to learn about how an enterprise SaaS company works end to end. Some logistics info, the internship will be fully remote with an expectation to work during the US east coast business hours. We will be providing a Macbook that will be used and returned back to us after the internship. Interns in the NYC area will have the chance to meet some of our local team members at a co-working space occasionally and work together. Finally, our interns will also be able to expense two lunches every month when meeting with anyone at the company - we encourage them to mix and mingle! 

Data Engineering Internship: 

Preferred Skills: Python, SQL

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Frontend Engineering Internship 

Preferred Skills: React or Angular, JavaScript