Hadoop Big Data Developer

Bright Vision Technologies • North Brunswick, NJ

1d • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an experienced Hadoop Big Data Developer to design, build, and operate large-scale data processing pipelines and analytics platforms using Hadoop and related big-data ecosystems. The role involves ingesting, transforming, and analyzing large volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate brings deep Hadoop ecosystem expertise and strong software engineering fundamentals to deliver reliable, performant, and cost-effective production data platforms.

The position is full-time, direct W2, and 100% remote within the United States. The annual salary range is $100,000–$150,000. Candidates must be eligible to work in the United States; the employer welcomes U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates, but cannot sponsor new H-1B visa petitions.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Ten or more years of professional experience designing and operating big-data pipelines on Hadoop.
• Strong hands-on expertise with Apache Spark using Scala, Python, or Java in production environments.
• Experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
• Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
• Strong SQL skills and experience with relational and NoSQL data stores.
• Experience with workflow orchestration tools such as Airflow or Oozie.
• Understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
• Strong scripting skills in Python or Shell.
• Excellent troubleshooting, debugging, and documentation skills.

Nice To Haves

• Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.
• Familiarity with modern lakehouse formats such as Delta, Iceberg, or Hudi.
• Exposure to data governance tools such as Apache Atlas or Collibra.
• Experience with Kubernetes-based data platforms, such as Spark-on-K8s or Trino.
• Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.

Responsibilities

• Design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems.
• Ingest, transform, and analyze large volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads.
• Deliver reliable, performant, and cost-effective data platforms in production environments.

What This Job Offers

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