Senior Data Engineer – Hadoop

Bright Vision Technologies • Frisco, TX

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 workloads. The successful candidate will bring 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 United States. The stated salary range is $145,000–$165,000 annually. The posting welcomes applications from U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates; the company cannot sponsor new H-1B visa petitions for this position.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more 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.

Nice To Haves

• 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.

Responsibilities

• Design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems.
• Ingest, transform, and analyze massive 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