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# Full-Stack Software Engineer (Data Pipeline Focus)

- **Company:** Bitwise
- **Location:** Anne Arundel County, MD, United States
- **Salary:** $282,000 - $332,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Spring Security, Amazon Elastic Compute Cloud, Amazon S3, Build Automation, Automation of Tests, Bash Shell, Continuous Integration, Data Discovery, Data Transformation, Elasticsearch, Data Flow Control, Groovy, JSON, Junit, Python (Programming Language), Apache Maven, Enterprise Messaging Systems, MongoDB, NoSQL, RabbitMQ, Redis, Amazon Simple Notification Service (SNS), Software Engineering, Enterprise Data Management, Data Processing, Scripting, Spring-boot, AWS Lambda, Gitlab, Git, Documentation System, Spring Data, AI Platforms, Linux Development, Kubernetes, Atlassian Tools, Apache Kafka, Apache Nifi, Npm(Software), Software Coding, Restful APIs, Amazon Simple Queue Service (SQS), Data Pipelines, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25196_1c63cf3ab35ea4da3db98ba9f1b2711f

## About the Role

* 12+ years of relevant experience with a B.S. in a technical discipline, or 16+ years of relevant experience without a degree
 * Extensive software engineering experience in Java, including developing Java-based REST APIs
 * Experience with NoSQL databases (e.g., Elasticsearch, MongoDB, Redis, Dgraph, or similar)
 * Proficiency in at least two of the following:
 + Spring Boot REST APIs and Spring Libraries (Spring Security, Spring Data, etc.)
 + Data wrangling and dataflow (data discovery, mining, analysis, cleaning, exploration, modeling, structuring, transforming, enriching, and validating)
 + Dataflow tools such as Apache NiFi
 * Familiarity with Git for version control, and Maven and/or npm for build automation
 * Proficiency working in a Linux development environment
 * Demonstrated willingness and ability to learn new tools, technologies, and workflows
 * Experience using Atlassian task-tracking and documentation tools like Jira and Confluence, or similar platforms
 * Excellent communication and teamwork skills
 * Experience with various corporate data formats
 * Leveraged AI platforms to assist in hybrid automated/manual data transformation, code development, and schema management
 * Familiarity with CI/CD tools (e.g., GitLab) and automated testing (e.g., JUnit)
 * Advanced knowledge of containerization and orchestration platforms, including Docker/Podman and Kubernetes
 * Proficiency in JSON and JSON Schemas or similar schema frameworks, with a strong background in data modeling concepts and techniques
 * Experience with AWS services (EC2, S3, SQS, SNS, Lambdas, etc.)
 * Scripting with Bash, Python, and/or Groovy
 * Knowledge of event-driven or messaging technologies such as Kafka or RabbitMQ
 * Experience with production operations and capabilities