3M Consultancy

Mark. Make. Match.

Databricks Developer, Java, Apache Spark, IRS MBI Clearance

Backend EngineerSoftware EngineerFull TimeRemoteTeam 1-10Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

60 days ago

Salary

$100K - $150K / year

Bachelor Degree8 yrs expEnglishApacheCloudETLHbaseHDFSJavaJenkinsJunitKafkaKubernetesMockitoSparkSQLYarn

Job Description

• 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

Job Requirements

  • 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
  • Data & Systems Experience working with large enterprise or government data systems
  • Good understanding of data structures, security, and compliance
  • Strong experience with Java 8 or newer
  • Comfortable with Streams, Lambdas, and object-oriented design
  • 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
  • Experience with tools like HDFS, Hive, or HBase
  • Familiar with Kafka, S3, or cloud-based data lakes
  • Experience with Parquet, Avro, or ORC formats
  • Experience building batch and real-time ETL pipelines
  • Skilled in data cleansing, transformation, and enrichment
  • 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
  • Unit testing using JUnit or TestNG
  • Experience with Mockito or similar tools
  • Comfortable validating data and testing Spark jobs

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