Senior Software Engineer (Backend) - Remote

ICF is a global advisory and technology services provider, and they are seeking a Senior Software Engineer to join their team. The role involves developing and maintaining backend APIs for a significant program with the Centers for Medicare & Medicaid Services (CMS), requiring expertise in software engineering within a consulting environment.

Responsibilities:

• Backend API Development and Maintenance
• Data Storage and ETL Engineering
• Working in an AWS Cloud base environment
• Unit Test Writing
• Working with a Scrum Team using Agile
• Writing documentation in Confluence and using JIRA for User Stories
• Performance Testing
• Participate in all team meetings

Requirements:

• Bachelor's Degree
• 5+ years of professional software development experience
• Candidate must be able to obtain and maintain a Federal Public Trust
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S
• Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years
• TypeScript / JavaScript — backend services, async patterns, Node.js runtime
• Python 3 — data engineering, ETL pipelines, type hints, abstract base classes
• SQL — analytical queries, schema design, query optimization across PostgreSQL and MySQL
• NestJS Framework — modules, controllers, services, dependency injection, guards, middleware, decorators
• RESTful API design — resource modeling, HTTP semantics, versioning
• ETL pipeline design — extract → transform → validate → publish lifecycle; idempotency patterns; runtime business rule validation
• S3 — file storage, S3A filesystem integration with Spark, lifecycle conventions
• Docker — multi-stage Dockerfiles, docker-compose for local dev clusters, environment parity with production runtimes
• ORM proficiency — TypeORM (entity modeling, migrations, query builder, transactions)
• Authentication & authorization — JWT/Bearer tokens and policy-based authz with role/claim evaluation
• Apache Spark (PySpark) — distributed compute, DataFrame I/O, Spark SQL, EMR Serverless job configuration and submission
• Pandas / NumPy — in-process data transformation, vectorized operations, statistical aggregations
• Vitest and Jest — unit and integration testing, high coverage discipline (95%+ thresholds)
• pytest — Python unit and integration testing; mocking AWS services
• Structured logging — contextual request/job logging
• APM tooling — Datadog familiarity a plus
• Dependency security — Snyk, CVE remediation, automated dependency updates (Dependabot)
• PostgreSQL — schema design, JDBC integration, query optimization
• MySQL / Aurora MySQL — schema design, indexing, migrations
• Amazon Redshift — analytical SQL, serverless cluster connectivity, credential management
• AWS CodeBuild — CI/CD pipeline authoring, multi-step buildspecs, secret injection
• EMR Serverless — PySpark job submission, monitoring, custom Python
• SSM Parameter Store — runtime secret and config injection
• TypeScript linting — ESLint 9, TypeScript ESLint, Prettier, Husky + lint-staged pre-commit hooks
• Python linting — Ruff (lint + format), isort, pip-compile for deterministic dependency pinning
• Good leadership and team-working skills
• Highly effective analytical, problem-solving, and decision-making capabilities
• Excellent communication and interpersonal skills to interface effectively at all levels of the business
• Organized, detailed oriented and able to prioritize and multi-task
• Ability to self-organize, prioritize and conduct work on multiple projects under tight deadlines in a fast-paced environment
• Federal Government contracting work experience
• Prior experience in consulting or healthcare highly preferred