Backend Engineer

Title: Backend Engineer – Data Platform / Analytics Applications
Location : Rockville, MD or McLean, VA
Target Start Date : ASAP
Type: contract
Pay Rate: DOE

This opportunity sits within a mission-driven environment focused on protecting the integrity of U.S. financial markets. The team is building analyst-facing tools that transform large-scale market data into intuitive, usable applications. It is a strong fit for engineers who enjoy working across both front-end and back-end systems, especially in data-intensive environments.

What You'll Do

• Build applications that help business users and analysts work more effectively
• Design and develop scalable multi-tier web applications
• Create and enhance back-end services and APIs that integrate with existing platforms
• Partner with product and engineering teams to deliver high-quality solutions
• Support releases through the full engineering lifecycle into production
• Contribute to architecture, engineering standards, and development best practices

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
• 5+ years of experience building production-grade web-based applications
• Strong back-end development experience in Java with Spring, Python with Django/Flask/FastAPI, or Scala
• Experience building and integrating RESTful web services
• Front-end integration experience with modern JavaScript frameworks, especially Angular
• Experience building data platform, analytics, or data-heavy web applications
• Strong SQL skills, including writing and analyzing complex queries in large-scale data environments
• Experience with AWS services and working within cloud-based architectures
• Familiarity with Agile/Scrum and CI/CD development practices
• Experience writing automated unit, component, and integration tests
• Ability to adapt in fast-changing environments with evolving priorities

Nice to Have

• Experience with machine learning–enabled data pipelines
• Hands-on exposure to big data technologies such as Spark, Kafka, Flink, or similar
• Familiarity with Airflow or related orchestration tools
• Experience using AI-assisted development tools to improve speed and quality across the SDLC

What Stands Out in This Role

• Full stack role with emphasis on backend services, data-heavy systems, and analyst-facing tools
• Strong fit for someone with Angular on the front end and Java or Python on the back end
• Big data and cloud exposure are important, especially SQL at scale and AWS
• Nice blend of platform engineering and user-facing application development
• AI is a plus, but not the core of the role

Ideal Candidate Profile
A strong candidate will likely come from a background building internal analytics platforms, data applications, or large-scale enterprise tools. They should be comfortable moving between APIs, cloud services, SQL-heavy systems, and modern front-end frameworks, while also understanding how to build intuitive tools for non-technical users.

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