Databricks Developer (Java & Apache Spark) with IRS MBI Clearance required

This is a remote position.

Job Title: Databricks Developer (Java & Apache Spark)

Location: Remote

Duration: Full-Time

NEED IRS MBI Clearance.

We are looking for a Databricks Developer who can design, build, and support large-scale data processing solutions. This role focuses on working with complex, high-volume data in a secure environment. You should be comfortable writing clean Java code, building Spark jobs, and improving performance in distributed systems.

You’ll work closely with engineers, analysts, and business teams to deliver reliable data pipelines that scale well and meet security and compliance requirements.

What You’ll Do

Build and maintain data pipelines using Apache Spark on Databricks

Write clean and efficient Java (Java 8 or higher) following best coding practices

Work with large structured and semi-structured data sets

Tune Spark jobs to improve performance, stability, and cost

Partner with other teams to understand requirements and deliver solutions

Make sure data handling follows security and governance standards

Investigate and fix issues in production environments

What We’re Looking For

Active federal background clearance (client-issued laptop is a plus)

Bachelor’s degree in Computer Science or a related field

8+ years of hands-on experience in data engineering or big data development

Technical Skills

Data & Systems

Experience working with large enterprise or government data systems

Good understanding of data structures, security, and compliance

Java

Strong experience with Java 8 or newer

Comfortable with Streams, Lambdas, and object-oriented design

Apache Spark

Hands-on experience with Spark Core, Spark SQL, and DataFrames

Understanding of RDDs and when to use them

Experience with batch processing and streaming

Strong skills in Spark performance tuning

Able to debug jobs using Spark UI and logs

Big Data Tools

Experience with tools like HDFS, Hive, or HBase

Familiar with Kafka, S3, or cloud-based data lakes

Experience with Parquet, Avro, or ORC formats

ETL & Data Processing

Experience building batch and real-time ETL pipelines

Skilled in data cleansing, transformation, and enrichment

DevOps & Deployment

Experience running Spark on YARN, Kubernetes, or cloud platforms

Familiar with CI/CD tools like Jenkins or GitHub Actions

Experience with monitoring tools and production logs

Testing & Code Quality

Unit testing using JUnit or TestNG

Experience with Mockito or similar tools

Comfortable validating data and testing Spark jobs

Ways You’ll Succeed

You’re used to working in Agile teams

You document your work clearly

You stay calm and focused when troubleshooting production issues

Nice to Have:

Experience with Scala or Python in Spark

Hands-on experience with Databricks or Google Dataproc

Knowledge of Delta Lake or Apache Iceberg

Background in data modeling and performance design

Originally posted on Himalayas