Chartbeat, a leading provider of real-time and historical analytics for media brands, is seeking a Data Engineer to join their innovative team. Recently merged with Tubular, they serve over 1,000 global brands including prestigious names like The New York Times, BBC, and ESPN.
As a Data Engineer at Chartbeat, you'll be integral to designing and maintaining data pipelines that power their analytics products. Working with cutting-edge technologies like Snowflake, Kubernetes, and Kafka, you'll be part of a close-knit team that includes engineers, designers, data scientists, and product managers. The role offers a perfect blend of technical challenges and collaborative opportunities.
The position requires 3+ years of data engineering experience, with strong Python skills and knowledge of REST APIs. You'll be building scalable, multi-tenant data pipelines and working with distributed systems. The company values excellent communication skills and enthusiasm for learning new technologies.
Chartbeat offers an impressive benefits package including comprehensive healthcare, generous parental leave (18 weeks for birthing parents), 401k matching, unlimited PTO, and flexible work hours. The fully remote position comes with a competitive salary range of $128,000-$147,000.
The company maintains a strong commitment to diversity, equity, and inclusion, fostering an environment where employees can be their authentic selves. This is an excellent opportunity for a data engineer looking to make an impact in the digital media analytics space while working with a supportive, diverse team and modern technology stack.