Description & RequirementsAs part of the Data Management & Analytics Platform (DMAP) team, you will help build and evolve the internal platforms that enable analytics, reporting, and business intelligence capabilities across the organization.
Our systems process and manage large volumes of operational, product, and customer data that power reporting, self-service analytics, and critical business workflows. We are focused on building scalable, reliable platform services that connect enterprise data ecosystems with analytics and visualization technologies used throughout Bloomberg.
We are looking for a Senior Software Engineer with strong backend development experience and a passion for building enterprise-scale platform solutions. In this role, you will design and develop services, APIs, integrations, and automation that support Bloomberg's analytics and visualization ecosystem.
While familiarity with tools such as Qlik Sense, Power BI, Tableau, or similar platforms is valuable, this is primarily a software engineering role focused on platform development rather than dashboard creation or analytics development.
We'll trust you to:
- Design, develop, and maintain backend services and platform integrations using Python and other modern technologies
- Build scalable APIs and automation workflows that integrate analytics and visualization platforms into Bloomberg's broader technology ecosystem
- Collaborate with platform, infrastructure, and product teams to deliver reliable and secure enterprise solutions
- Improve developer experience by creating reusable frameworks, tooling, and self-service capabilities
- Drive software engineering best practices including testing, CI/CD, observability, monitoring, and operational excellence
- Participate in architectural discussions and contribute to the long-term evolution of Bloomberg's analytics platform ecosystem
- Troubleshoot and resolve complex production issues across distributed systems and platform integrations
- Work closely with stakeholders to understand requirements and translate them into scalable technical solutions
- Mentor engineers and contribute to a culture of technical excellence and continuous improvement
You'll need to have:
- 5+ years of professional software engineering experience building and operating production systems
- Strong proficiency in Python and experience developing backend services, APIs, and automation frameworks
- Experience designing and supporting distributed systems and service-oriented architectures
- Strong understanding of software engineering fundamentals, including testing, CI/CD, source control, and deployment practices
- Experience integrating enterprise platforms and third-party technologies through APIs and service interfaces
- Strong problem-solving skills and the ability to drive technical solutions from design through implementation
- Excellent communication and stakeholder management skills
- A degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent experience)
We'd love to see:
- Experience integrating business intelligence or analytics platforms such as Qlik Sense, Power BI, Tableau, Looker, Superset, or similar technologies
- Experience building internal developer platforms, shared services, or enterprise tooling
- Familiarity with cloud-native architectures and containerized deployments
- Experience with observability, monitoring, and operational tooling
- Knowledge of authentication, authorization, and enterprise security patterns
- Experience working in large-scale enterprise environments with complex system integrations
- Exposure to AI-powered developer tools, analytics platforms, or workflow automation solutions
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
