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. Earlier this year, Chartbeat joined forces with Tubular, the 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, Twitch, and more. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. By joining two comprehensive network-level datasets, we’ll help our partners understand and measure a larger proportion of audience interactions and, in turn, make smarter decisions that grow reach and revenue. We now serve more than 1,000 brands globally, including influential content publishers like The New York Times, the BBC, ESPN, Gannett, Vox, BuzzFeed, Paramount, WB, Mediahuis, Hearst, McClatchy, and GQ.
The Team
We are a team focused on large-scale data systems who work with best in class technologies such as Snowflake, Kubernetes, Kafka and Python. We make an impact by working within a close-knit team on core customer-facing analytics products.
Responsibilities
As a Data Engineer at Chartbeat, you will be designing, building, scaling, and maintaining our data pipelines, data stores, analysis engines, and APIs. You will primarily be contributing code within a cross-functional team, typically a few engineers, a designer, a data scientist, and a product manager. You will also participate in the engineering on call rotation to monitor and maintain the health of our production systems.
About You
- At least 3 years experience as a Data Engineer
- Experience with Python
- Knowledge of API styles like REST
- Can build data pipeline that support multi tenant usages with different databases for large, high-scale applications (particular experience with Snowflake, PostgreSQL or HBase is a plus)
- Interest in working with and building distributed systems (e.g. technologies like Zookeeper, Kafka)
- Excellent verbal and written communication skills and a commitment to building an inclusive and collaborative working environment
- An interest in designing technical solutions to open-ended product problems
- A passion and enthusiasm about learning and teaching new technologies
Compensation and Benefits:
We are proud to offer our team members a competitive compensation plan that includes:
- 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
- Company-wide outings
- The compensation range for this position is $128,000 - $147,000
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What We Do
Improve audience engagement, inform editorial decisions, and increase readership. Chartbeat delivers real-time analytics, content intelligence, and transformative newsroom tools for digital media and publishing companies around the world.
We believe that today’s content creators need mission-critical insights – in real time and across desktop, social, and mobile platforms – to build a loyal audience. That’s why our software goes beyond clicks and pageviews so content creators can understand what, within their content, is keeping people engaged. Partnering with over 60,000 media brands across 60+ countries, Chartbeat’s tools help the world’s leading media companies understand, measure, and build business value from the attention earned by their content.
We're constantly on the lookout for talented and energetic folks to join our Chartteam in our growing-every-second Manhattan office.
