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Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Build ETL data pipelines with integration to several source types including messaging systems, ingesting different file types and formats, connections to various DB systems
Automate/build regression framework for Data applications
Orchestrating jobs for ETL pipelines
Observability and reliability: structured logging, tracing metrics (Prometheus/Grafana), and SRE-friendly production readiness.
Experience using AI‑assisted development tools (e.g., Copilot-style tooling) responsibly to improve productivity and code quality
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of Strong hands‑on experience building backend systems in Python (e.g., FastAPI / Django / Flask) with well‑structured APIs and domain logic.
Strong hands‑on experience building front‑end applications using React (modern Angular versions), TypeScript, RxJS, and component-based UI design.
Strong Python experience with APIs, distributed systems and cloud platforms.
Develop batch and real-time data processing workflows
Implement data validation, monitoring and lineage tracking
Good experience in building data movement pipelines, data transformations, integration with various file types, DBs, messaging systems.
Experience implementing RESTful APIs, API versioning, input validation, pagination, and error standards
familiarity with OpenAPI/Swagger.
Proficiency with SQL (e.g., PostgreSQL, MS SQL Server, Oracle) and familiar with data modeling
Solid understanding of testing and quality practices: unit tests, integration tests, mocking, test automation (e.g., pytest)
Knowledge of secure software engineering: authentication/authorization (OAuth2/OIDC), secrets management, OWASP principles, and secure coding practices.
Hands on experience in Java and Java Microservices is added benefit