Data Platform Engineer

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.
• Ingest, transform, and analyze massive volumes of structured and unstructured data.
• Support enterprise analytics, machine learning, and reporting workloads.
• Develop streaming data solutions using Kafka, Spark Streaming, or Flink.
• Operate reliable, performant, and cost-effective production data platforms.
• Troubleshoot, debug, document, and improve distributed data systems.

Requirements

• Must be authorized to work in the United States as a U.S. citizen, Green Card holder, EAD holder, or H-1B transfer candidate.
• New H-1B visa sponsorship is not available for this position.
• At least 5 years of professional experience designing and operating Hadoop-based big-data pipelines; 6+ years of overall experience preferred.
• Production expertise with Apache Spark using Scala, Python, or Java, plus Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
• Experience with Kafka, Spark Streaming, or Flink; strong SQL skills; and experience with relational and NoSQL data stores.
• Experience with Airflow or Oozie, distributed systems concepts, and Python or Shell scripting.

Nice to have

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

Culture & Benefits

• Full-time direct W-2 employment.
• 100% remote work within the United States.
• Opportunity to work on cloud, AI, data, and enterprise solutions.
• Career growth opportunities within an established consulting and software development organization.