The Role
Design, build, and operate large-scale Hadoop-based data pipelines and analytics platforms. Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, machine learning, and reporting. Ensure reliability, performance, and cost-effective production operations; troubleshoot, debug, and document platform components.
Summary Generated by Built In
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Data Platform Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
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.
Required Qualifications
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Job Title: Data Platform Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
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.
Required Qualifications
- 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.
- 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.
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Skills Required
- 6+ years professional experience (overall)
- 5+ years designing and operating big-data pipelines on Hadoop
- Hands-on expertise with Apache Spark (Scala, Python, or Java) in production
- 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
- Solid understanding of distributed systems concepts (partitioning, replication, fault tolerance)
- Strong scripting skills in Python or Shell
- Excellent troubleshooting, debugging, and documentation skills
- 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
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The Company
What We Do
Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.
