À propos
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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Compétences linguistiques
- English
Avis aux utilisateurs
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