Staff Software Engineer (Data, Tubular)

Chartbeat is committed to a fair and transparent hiring process. Our official recruitment team will contact you through our official Chartbeat email address (@chartbeat.com) and communication channels (phone, text or email - not Discord). If you receive any communication regarding a job offer or interview scheduling from an individual claiming to represent Chartbeat but using unofficial or personal email addresses, please exercise caution.To report any suspicious activity or potential scams, please contact us at [email protected]. Your vigilance helps us maintain the integrity of our recruitment process and protect our applicants. We appreciate your cooperation in ensuring a safe and genuine experience for all candidates.
About Us:
Are you a highly experienced software engineer passionate about building products involving large-scale, interactive computation?  Are you interested in working with best in class technologies such as Spark, Kubernetes, ElasticSearch, Python and other languages?  Do you want to make an impact with a close-knit team working on the core customer-facing intelligence products powering a successful and rapidly growing company?

In this job you will:

• Build mission-critical data processing pipelines underpinning our core suite of customer-facing social-media analytics products using Spark/PySpark, ElasticSearch and other petabyte-scale compute technologies
• Work collaboratively with a small product-focused, cross-functional team
• Own and develop a technical roadmap for mission critical technical components
• Lead the adoption of collaborative engineering best practices within your technical team
• Mentor other engineers within your team through pair/mob programming
• Lead and participate in technical design sessions
• Work closely with a small team of talented systems engineers working on petabyte-scale analytics systems supporting analytical workloads involving metadata for billions of videos

Your Responsibilities will include:

• Design, implement, and support large-scale data processing pipelines using Kubernetes, Spark, Kafka, ElasticSearch, and more
• Programming in Python, Scala, and Java
• Mentorship of engineers through collaborative development
• Participation in interviewing processes, as needed
• Participation in the Data services on-call rotation

Ideal candidates will have:

• 8+ years of experience as a senior member of the technical staff at a data-intensive engineering company
• Proven track record leading large-scale engineering projects
• Experience working on end-user products, ideally in enterprise SaaS is highly desirable

Salary & Benefits (including Pay Transparency information)

Flexible paid time off

100% employer-paid Medical, Dental and Vision plans

401k plan

Life/AD&D & Disability Benefits

Hackathons

And more!

The pay range for this position is: $170,000 - $230,000 per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to applicable law.