Java Developer

Delmock Technologies • Washington, DC

13h • Remote

About The Position

Delmock Technologies, Inc. (DTI), is a leading HUBZone business in Baltimore, known for delivering sophisticated IT (Information Technology) and Health solutions with a commitment to ethics, expertise , and superior service. Actively engaged in the local community, DTI creates opportunities for talented residents while maintaining a stellar reputation as an award-winning contractor, earning accolades like the Government Choice Award for IRS (Internal Revenue Service) Systems Modernizations. Clearance: Active IRS MBI Clearance is require d to be considered for this position. Location : This position is remote. Role: Delmock Technologies, Inc. is seeking a n intermediate-level Java Developer to convert existing P y Spark c odebases into optimized Java-based Spark applications. This role includes developing, refactoring, and m a intaining s calable data processing solutions developed on the Databricks platform (or similar Spark execution environments). The developer will collaborate with IRS stakeholders and technical teams to ensure accurate translation of logic, high performance of Spark jobs, and compliance with federal security, privacy, and governance standards.

Requirements

• Bachelor’s degree in Computer Science , Information Systems, or related field
• Technical Experience (5+ Years Total Professional Experience)
• Knowledge of IRS Data Systems
• Strong expertise in Java 8+
• Proficiency with Spark Core, Spark SQL, and DataFrame /Dataset APIs
• Familiarity with HDFS, Hive, or HBase
• Experience with S3, Kafka
• Knowledge of Parquet, Avro, ORC formats
• Experience building and supporting ETL pipelines
• Experience with Databricks, or EMR
• CI/CD experience (Jenkins, GitHub Actions)
• Proficient with Git
• Experience with Maven or Gradle
• Experience with u nit testing using JUnit or TestNG
• Experience working in Agile/Scrum environments
• Active IRS MBI Clearance is require d to be considered for this position.

Nice To Haves

• GFE, e.g. IRS-issued laptop
• Experience with PySpark -to-Java Spark translation
• Monitoring tools such as Grafana, Prometheus, Datadog, or Spark logs
• Experience with Databricks, Google Dataproc , or similar Spark ecosystems
• Knowledge of Delta Lake or Apache Iceberg

Responsibilities

• Convert existing PySpark applications into equivalent, efficient Java Spark implementations.
• Design, develop, and maintain scalable Spark-based data pipelines.
• Implement data processing logic using Java 8+ with best practices in OOP and functional programming.
• Integrate solutions with IRS datasets including IRMF, BMF, and IMF.
• Optimize Spark jobs for performance, maintainability, and cost-efficiency.
• Collaborate across development, data engineering, and architecture teams.
• Troubleshoot and debug Spark workloads in distributed environments.
• Ensure compliance with IRS data handling, security, and governance policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level