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.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead a team building evaluation infrastructure and benchmarks for agentic and generative AI. Design automated tests, validate RAG and knowledge grounding, benchmark LLMs, optimize model selection, and translate evaluation results into product and risk recommendations while collaborating cross-functionally and growing an AI-native engineering team.
Top Skills:
AnthropicBleuCmdbsG-EvalGoogle (Llms)Hybrid SearchKnowledge GraphsLlm-As-A-JudgeNumpyOpenaiPandasPythonRetrieval-Augmented Generation (Rag)RougeSemantic Re-RankingSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Support the GVP of Product Delivery & Innovation as a strategic partner: provide data-driven decision support, lead ambiguous cross-functional initiatives, run operating cadence and governance (QBRs, planning, exec readouts), shape executive communications, act as proxy in stakeholder forums, and drive alignment and continuous improvement across PD&I and allied teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and scale ServiceNow's global brand identity and design systems. Manage and mentor a high-performing brand design team, drive integrated brand solutions across channels, influence cross-functional leaders, and ensure consistent, high-quality execution from strategy through delivery.
Top Skills:
Adobe Creative CloudFigmaMiro
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
