Hadoop Big Data Developer

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related ecosystems.
• Ingest, transform, and analyze massive volumes of structured and unstructured data.
• Develop production workloads supporting enterprise analytics, machine learning, and reporting.
• Use Apache Spark and streaming platforms to deliver reliable and performant data processing.
• Troubleshoot, debug, document, and improve cost-effective distributed data platforms.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 10+ years of professional experience designing and operating Hadoop big-data pipelines.
• Strong production experience with Apache Spark using Scala, Python, or Java.
• Hands-on expertise with Hive, HDFS, Sqoop, HBase, Kafka, Spark Streaming, or Flink.
• Strong SQL, Python or Shell scripting, and experience with relational and NoSQL data stores.
• Experience with Airflow or Oozie and distributed-systems concepts including partitioning, replication, and fault tolerance.

Nice to have

• Experience running Hadoop on AWS EMR, Azure HDInsight, or Databricks.
• Familiarity with Delta, Iceberg, or Hudi lakehouse formats.
• Exposure to Apache Atlas, Collibra, Kubernetes-based data platforms, CI/CD, or infrastructure as code.

Culture & Benefits

• Full-time direct W-2 employment.
• Remote work within the United States.
• Career growth opportunities within an established consulting and software development organization.

Hiring process

• Submit a resume for consideration.
• New H-1B visa petitions cannot be sponsored; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.