Big Data Application Developer @Bright Vision Technologies
Data and Analytics
Salary $100,000โ€“$150,0..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Employment Type full-time
Posted 1wk ago

[Hiring] Big Data Application Developer @Bright Vision Technologies

1wk ago - Bright Vision Technologies is hiring a remote Big Data Application Developer. ๐Ÿ’ธ Salary: $100,000โ€“$150,000 annually ๐Ÿ“Location: USA

Role Description

We are seeking an experienced Big Data Application Developer 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.

Qualifications

  • Bachelorโ€™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.

Requirements

  • 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.

Benefits

  • 100% Remote work opportunity.
  • Full-time, Direct W2 position.
  • Salary range: $100,000โ€“$150,000 Annually.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [emailย protected] or contact us at (908) 650-6699.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Before You Apply
๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Big Data Application Developer @Bright Vision Technologies
Data and Analytics
Salary $100,000โ€“$150,0..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Employment Type full-time
Posted 1wk ago
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๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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