Senior Data Engineer – Hadoop

Bright Vision Technologies • Overland Park, KS

3d • $145,000 - $165,000 • Remote

About The Position

Bright Vision Technologies is seeking a Senior Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms using Hadoop and related big-data technologies. The role involves ingesting, transforming, and analyzing large volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting. The successful candidate will apply deep Hadoop ecosystem expertise and strong software engineering fundamentals to deliver reliable, performant, and cost-effective production data platforms. This is a full-time, direct W2 position that is 100% remote within the U.S., with an annual salary range of $145,000–$165,000.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• At least five years of professional experience designing and operating big-data pipelines on Hadoop.
• Strong production experience with Apache Spark using Scala, Python, or Java.
• Experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
• Hands-on experience with streaming 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 technologies.
• Ingest, transform, and analyze large volumes of structured and unstructured data.
• 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