Want to build a leading analytics platform from scratch that powers critical decision-making and solves complex, real-world problems? Ready to join a team that works with open source, big data technologies, and machine learning algorithms to drive innovation? Join our Impact Analysis & ML team.

We are part of the Bloomberg Enterprise Connectivity & Analytics (ECA) organization, which connects thousands of enterprise clients to hundreds of Bloomberg applications, moving terabytes of financial data in a snap.

Our ECA Event Analytics group ingests billions of events daily from Connectivity. Serving dozens of engineering teams, and thousands of active client users, we are advancing our platform with cutting-edge analytics in real-time and providing consistent, high-quality user experience. We already support various data analysis pipelines running in production for critical business workflows.

Impact Analysis is a strategic initiative built with stakeholders to assess business impact in real time and provide critical insights during complex system events. We are investing in machine learning, knowledge graphs, and lakehouse architectures, to further enhance the platform’s analytical and decision-support capabilities. There is tremendous potential to innovate and expand the solution across the stack by correlating metrics and reference data for service teams, engineering, senior management, and clients.

We are seeking a Senior Software Engineer to join our collaborative engineering team and lead the design and development of intuitive, high-performance user experiences for our platform. As a full stack team, you will work across both backend and frontend, building scalable services, APIs, and data-driven applications. You will play a key role in transforming real-time system data into actionable insights through performant and reusable components, including supporting the integration of machine learning–driven capabilities.

You will also contribute to distributed systems and data pipelines using open source technologies such as Apache Spark, Apache Kafka, Apache Iceberg, Trino, Argo, and Neo4j.

We trust you to:

• Design and implement scalable, high-impact technical solutions that drive measurable business value.
• Own end-to-end development of features and services, from design through production.
• Partner with business stakeholders to translate requirements into intuitive solutions.
• Explore and evaluate approaches to complex problems, including prototyping and proof-of-concept development.
• Lead technical discussions, mentor junior engineers, and contribute to the team’s technical direction.
• Advocate for best practices in architecture, development workflows, and system reliability.

You will need to have:

• 4+ years of professional experience designing, developing, and delivering production-grade software using Python, Java, Go or C++
• Experience designing and building RESTful APIs and microservices
• Familiarity with distributed data systems (e.g., S3, Hadoop, Spark, Kafka)
• Strong problem solving and communication skills and ability to work independently and as part of a team.
• A degree in Computer Science, Engineering, Mathematics, a related field, or equivalent experience.

We’d love to see:

• Experience with an open table format (e.g., Apache Iceberg).
• Experience with workflow orchestration tools (e.g., Argo, Airflow)
• Familiarity with graph databases (e.g., Neo4j) and ontology-driven data modeling
• Familiarity with ML-enabled production systems
• Interest in tackling ambiguous problems and building systems from the ground up