Design, build, and maintain end-to-end data ingestion and ETL pipelines for social video intelligence. Collaborate with product and engineering teams to implement features, ensure code quality, lead technical projects, participate in on-call rotation, and mentor junior engineers while advocating best practices.
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 team:
We are the Ingestion team within the Tubular Labs brand. Tubular is a social video intelligence platform. As the world spends more time watching social video, more companies are realizing the massive influence it has on behaviors. Only Tubular provides a unified view across YouTube, Instagram, Facebook, Twitch and more. The Ingestion team develops a full-cycle data ETL pipeline and provides data to underlying stakeholders. Our stack includes Python, Apache Spark, Apache Kafka, Elasticsearch, Hive Metastore with AWS S3 and more. We are looking for a senior engineer to help us expand our capacity to deliver amazing user experiences while maintaining a high degree of code quality. The team works closely with the product team to ideate, develop, and deploy new features. As a member of an Ingestion team, you would be responsible for end-to-end implementation of features, advocating for best practices, and providing technical leadership.
What we are looking for:
- Have 5 or more years of industry experience as a software engineer with proficiency in Python.
- Good level of understanding of relational databases (SQL).
- Experience with distributed systems (Apache Kafka, Apache Spark) would be a plus.
- Have experience owning and leading technical projects that require collaborating with other technical teams.
- Experience with AI coding assistance (e.g. Cursor, Claude Code etc) would be plus.
What you bring:
- Excitement around making good software.
- An open and inclusive mindset.
- Excited to work in a fully remote environment and be a self-starter.
- Be able to participate in on-call duties.
- Skillful communication of ideas that enables collaboration with others with the ultimate goal of building consensus.
- Confidence in owning outcomes, communicating with stakeholders, and seeing a project to completion.
- Enthusiasm to mentor more junior engineers.
- Ability to adapt quickly.
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.
Chartbeat New York, New York, USA Office
826 Broadway, 6th Floor, New York, NY, United States, 10003
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
Digital Media • Information Technology • News + Entertainment
Manage and grow a portfolio of local clients by designing and presenting data-informed, multi-platform advertising strategies across linear, streaming, and digital channels. Prospect and maintain client relationships, drive revenue and pipeline, forecast and report, collaborate cross-functionally for campaign execution, use attribution insights to optimize performance, and deliver consultative sales solutions to meet business objectives.
Top Skills:
CRMFreewheel
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Provide remote technical support for VinSolutions and Cox Automotive products via phone, email, and chat. Troubleshoot and resolve application issues, log cases in the CRM, escalate to other teams as needed, and keep clients informed while meeting quality standards and shift requirements.
Top Skills:
Genesys PurecloudExcelMicrosoft OutlookMicrosoft WordSalesforceVinsolutions
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
