Databricks Developer - JavaSpark
Delmock Technologies Inc.
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Benefits offered by this job
Job summary
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 8+ years of professional experience with Java and Apache Spark.
- Strong expertise in working with IRS data systems.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Apache Spark.
- Optimize Spark jobs for performance and reliability.
- Ensure compliance with data security and governance standards.
Skills
Education
Tools
Job description
Join to apply for the Databricks Developer - JavaSpark role at Delmock Technologies Inc.
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 Required; IRS issued laptop strongly preferred.
Location: Remote.
Role:
Delmock Technologies, Inc. is seeking a Databricks Developer with deep expertise in Java and Apache Spark, along with hands‑on experience working with IRS data systems such as IRMF, BMF, or IMF. The ideal candidate will be responsible for designing, developing, and optimizing big data pipelines and analytics solutions on the Databricks platform. This role requires a deep understanding of distributed data processing, performance tuning, and scalable architecture.
Responsibilities:
- Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks
- Implement data processing logic in Java 8+, leveraging functional programming and OOP best practices
- Integrate with IRS data systems including IRMF, BMF, or IMF
- Optimize Spark jobs for performance, reliability, and cost‑efficiency
- Collaborate with cross‑functional teams to gather requirements and deliver data solutions
- Ensure compliance with data security, privacy, and governance standards
- Troubleshoot and debug production issues in distributed data environments
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 8+ years of professional experience demonstrating the required technical skills and responsibilities listed:
- IRS Data Systems Experience
- Hands‑on experience working with IRS IRMF, BMF, or IMF datasets
- Understanding of IRS data structures, compliance, and security protocols
- Strong expertise in Java 8 or higher
- Experience with functional programming (Streams API, Lambdas)
- Familiarity with object‑oriented design patterns and best practices
- Proficient in Spark Core, Spark SQL, and DataFrame/Dataset APIs
- Understanding of RDDs and when to use them
- Experience with Spark Streaming or Structured Streaming
- Skilled in performance tuning and Spark job optimization
- Ability to use Spark UI for troubleshooting stages and tasks
- Familiarity with HDFS, Hive, or HBase
- Experience integrating with Kafka, S3, or Azure Data Lake
- Comfort with Parquet, Avro, or ORC file formats
- Data Processing and ETL
- Strong understanding of batch and real‑time data processing paradigms
- Experience building ETL pipelines with Spark
- Proficient in data cleansing, transformation, and enrichment
- DevOps / Deployment
- Experience with YARN, Kubernetes, or EMR for Spark deployment
- Familiarity with CI/CD tools like Jenkins or GitHub Actions
- Monitoring experience with Grafana, Prometheus, Datadog, or Spark UI logs
- Version Control & Build Tools
- Proficient in Git
- Experience with Maven or Gradle
- Testing
- Unit testing with JUnit or TestNG
- Experience with Mockito or similar mocking frameworks
- Data validation and regression testing for Spark jobs
- Experience working in Agile/Scrum environments
- Ability to debug and troubleshoot production issues effectively
Preferred/Nice to Have Skills:
- Experience with Scala or Python in Spark environments
- Familiarity with Databricks or Google DataProc
- Knowledge of Delta Lake or Apache Iceberg
- Experience with data modeling and performance design for big data system
Recently ranked as high as #3 among HUBZone Companies in a GOVWIN survey, DTI offers a dynamic environment for those passionate about impactful projects, community involvement, and contributing to top‑ranking Federal and State Commissionaires project support teams.
At DTI, we balance continuous growth and innovation with a strong dedication to corporate social responsibility. Join our talented team and be part of a company that values both professional excellence and community impact. Explore the exciting career opportunities awaiting you at DTI!
DTI is committed to hiring and maintaining a diverse workforce. We are an equal opportunity employer making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class.
Mid‑Senior level
Contract
Information Technology
IT Services and IT Consulting
- Medical insurance
- Vision insurance
- 401(k)
- Disability insurance
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