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# Data Platform Engineer

- **Company:** Bright Vision Technologies
- **Location:** Chapel Hill, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Apache HTTP Server, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Stores, Database Queries, Software Debugging, Distributed Systems, Fault Tolerance, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Apache Hive, Python (Programming Language), Machine Learning, NoSQL, Apache Oozie, Sqoop, Data Streaming, Unstructured Data, Scripting, Apache Spark, Hdinsight, Kubernetes, Collibra, Apache Flink, Apache Kafka, Spark Streaming, Data Management, Amazon Elastic Mapreduce (EMR), Databricks
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/usaa941ca676f159f0c66410628eb25228

## About the Role

* 5+ years of professional experience designing and operating big-data pipelines on Hadoop.
 * Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.
 * Solid 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 working with both relational and NoSQL data stores.
 * Experience with workflow orchestration tools such as Airflow or Oozie.
 * Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
 * Strong scripting skills in Python or Shell.
 * Excellent troubleshooting, debugging, and documentation skills.

Preferred Qualifications

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

## Description

We are seeking an experienced Data Platform Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments.


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