Full-Stack Software Engineer (Data Pipeline Focus)
About The Position
Visionist is hiring a Full-Stack Software Engineer focused on data pipelines for a fully funded opportunity on its largest prime contract. The role supports a mature, web-based analytical platform used by hundreds of mission users. The team combines analysts and engineers to build specialized tools that improve operational efficiency and respond quickly to user needs. The broader program includes systems design and engineering, database administration, data science and knowledge management, enterprise risk management, integration and test, and operations and systems support. The work involves collaboration with users, policy makers, and mission leadership in a service-oriented environment. The engineer will lead data-processing workflow design and development; build and maintain ingestion pipelines, scalable REST APIs, and user-facing visualizations; and support the data lifecycle from collection and transformation through storage, retrieval, and presentation. The role uses API-driven microservices, NoSQL databases, Apache NiFi, and modern web frameworks, with data storage and performance work involving Elasticsearch and Dgraph and additional support for MongoDB and Redis. The engineer will also improve code quality, testing, documentation, and task management; use established design patterns and AI platforms; collaborate with analysts, product owners, and engineers; mentor teammates; and improve processes for integrating data sources. Active Top Secret (TS/SCI) clearance with polygraph is required. U.S. citizenship is required; green card holders and permanent residents are not eligible. Applicants selected must obtain or maintain a government security clearance. The position is based around an interview process that includes an interview with a Visionist team at its headquarters in Columbia, Maryland; the posting does not specify a workplace type.
Requirements
- Bachelor's degree in a technical discipline; an additional four years of experience may substitute for the degree.
- 12 years of experience in software engineering.
- Extensive experience developing software in Java, including Java-based REST APIs.
- Experience with NoSQL databases such as Elasticsearch, MongoDB, Redis, or Dgraph.
- Proficiency in at least two of the following: Spring Boot REST APIs and Spring libraries, including Spring Security and Spring Data; data wrangling and dataflow; or dataflow tools such as Apache NiFi.
- Familiarity with Git for version control and Maven and/or npm for build automation.
- Proficiency in software development within a Linux environment.
- Experience with Atlassian task-tracking and documentation tools, including Jira and Confluence, or similar platforms.
- Excellent communication, collaboration, and teamwork skills.
- Ability and willingness to learn tools, technologies, and workflows as mission needs evolve.
- Active Top Secret (TS/SCI) clearance with polygraph is required.
- U.S. citizenship is required; green card holders and permanent residents are not eligible.
- Applicants selected must obtain or maintain a government security clearance.
Responsibilities
- Lead the design and development of data-processing workflows for a mature web-based analytical platform supporting hundreds of mission users.
- Develop and maintain ingest pipelines, scalable REST APIs, and user-facing visualizations integrating diverse publicly available information sources.
- Improve code quality, testing, documentation, and Jira task management to support long-term system performance and maintainability.
- Use established design patterns and AI platforms to streamline software development, data transformation, and schema management.
- Develop and optimize solutions using API-driven microservices, NoSQL databases, Apache NiFi, and modern web frameworks.
- Support the full data-processing lifecycle, from collection and transformation to storage, retrieval, and presentation through the user interface.
- Manage and optimize data storage, retrieval, and performance using Elasticsearch and Dgraph, with additional support for MongoDB and Redis.
- Collaborate with analysts, product owners, and fellow engineers to ensure solutions meet operational requirements.
- Mentor team members on data-processing and software-engineering best practices and contribute to a collaborative development environment.
- Identify and implement process improvements that accelerate integration of new data sources and improve team efficiency.
Benefits
- Annual merit increases and performance-based bonuses.
- Four weeks of paid time off that is never use-or-lose.
- 12 paid holidays.
- Comp time and overtime.
- Flexible work hours.
- 80 hours of paid parental leave, with an additional $8,000 supplemental payment upon returning from maternity leave.
- Medical, dental, and vision benefits for individuals and families; employees who waive medical benefits receive an additional $4,160 per year.
- 401(k) retirement plan with company matching contributions.
- Annual $600 lifestyle bonus for gyms or fitness, new technology, or an HSA.
- Term life insurance.
- Short-term disability insurance.
- Long-term disability insurance.
- Regular social activities, including happy hours, baseball games, and activity clubs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
