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  1. Home
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  5. Hadoop Developer
Bright Vision Technologies logo

Hadoop Developer

Not Disclosed•Full-TimeRemote

location_on13599, Hansel Street, Lexington, Frisco, Collin County, Texas, 75035, United States

Apply Now

About the Team

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we are looking for skilled professionals to join our dynamic team and contribute to our mission of transforming business processes through technology.

About the Role

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. As a Hadoop Developer, you will be part of an in-house Statement of Work (SOW) engagement, working directly for Bright Vision Technologies rather than a third-party client or vendor. You will design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role, you will ingest, transform, and analyze 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 to deliver reliable, performant, and cost-effective data platforms in production environments.

Hiring Process

For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. For immediate consideration, please send your resume to harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.

Equal Opportunity

Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are committed to equal employment opportunity 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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Work location

Work model: Remote

location_on

13599, Hansel Street, Lexington, Frisco, Collin County, Texas, 75035, United States

Frisco, Texas

Key Responsibilities

  • check_circleDesign, develop, and operate end-to-end big-data pipelines on Hadoop
  • check_circleBuild robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop
  • check_circleDevelop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink
  • check_circleOptimize Spark and MapReduce jobs through tuning of partitioning, memory, and serialization
  • check_circleDesign and maintain data models and storage layouts on HDFS, Hive, HBase, and lakehouse formats
  • check_circleImplement data governance, lineage, and quality controls in collaboration with security teams
  • check_circleBuild robust monitoring, alerting, and logging strategies for big-data pipelines
  • check_circleAutomate pipeline orchestration using Airflow, Oozie, or similar workflow engines
  • check_circleLead performance reviews and architecture audits of existing pipelines

Requirements

  • verifiedBachelor's degree in Computer Science, Engineering, or related technical discipline
  • verified5+ years professional experience designing and operating big-data pipelines on Hadoop
  • verifiedStrong hands-on expertise with Apache Spark (Scala, Python, or Java)
  • verifiedSolid experience with Hive, HDFS, Sqoop, HBase, and Hadoop ecosystem
  • verifiedHands-on experience with streaming data platforms (Kafka, Spark Streaming, or Flink)
  • verifiedStrong SQL skills and experience with relational and NoSQL data stores
  • verifiedExperience with workflow orchestration tools (Airflow or Oozie)
  • verifiedSolid understanding of distributed systems concepts
  • verifiedStrong scripting skills in Python or Shell
  • verifiedValid H1B visa (transfer only; no new sponsorship)

Nice to Have

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.

Bright Vision Technologies logo
Company

Bright Vision Technologies

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

5+ yrs (Senior)

Education

Bachelor's degree in Computer Science, Engineering, or related technical discipline required

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Hadoop, Apache Spark, Hive, Pig, Sqoop, Kafka, Spark Streaming, Flink, Mapreduce, HDFS.

Education: Bachelor's degree in Computer Science, Engineering, or related technical discipline required.

Frequently asked questions about Hadoop Developer at Bright Vision Technologies

What does a Hadoop Developer at Bright Vision Technologies do?expand_more
A Hadoop Developer at Bright Vision Technologies is responsible for the following: Design, develop, and operate end-to-end big-data pipelines on Hadoop; Build robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop; Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink; and Optimize Spark and MapReduce jobs through tuning of partitioning, memory, and serialization.
What are the requirements for this Hadoop Developer role?expand_more
To qualify for the Hadoop Developer at Bright Vision Technologies position, applicants should have: Bachelor's degree in Computer Science, Engineering, or related technical discipline; 5+ years professional experience designing and operating big-data pipelines on Hadoop; Strong hands-on expertise with Apache Spark (Scala, Python, or Java); Solid experience with Hive, HDFS, Sqoop, HBase, and Hadoop ecosystem; Hands-on experience with streaming data platforms (Kafka, Spark Streaming, or Flink); and Strong SQL skills and experience with relational and NoSQL data stores.
Where is the Hadoop Developer role at Bright Vision Technologies located?expand_more
Hadoop Developer at Bright Vision Technologies is based in 13599, Hansel Street, Lexington, Frisco, Collin County, Texas, 75035, United States. This is a remote role.
Is this Hadoop Developer job remote, hybrid, or on-site?expand_more
Bright Vision Technologies has listed this Hadoop Developer role as remote.
How much experience is required for this Hadoop Developer role?expand_more
Hadoop Developer at Bright Vision Technologies typically requires 5+ years of relevant experience at the senior level.
What skills do you need for the Hadoop Developer role at Bright Vision Technologies?expand_more
Key skills for Hadoop Developer at Bright Vision Technologies include Hadoop; Apache Spark; Hive; Pig; Sqoop; Kafka; Spark Streaming; and Flink.
What education is required for Hadoop Developer at Bright Vision Technologies?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, Engineering, or related technical discipline required.
What category does the Hadoop Developer role belong to?expand_more
Hadoop Developer at Bright Vision Technologies is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
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  • check_circleDocument data architectures, schemas, pipeline behaviors, and operational runbooks
  • check_circleMentor junior engineers and contribute to the team's engineering standards
  • HadoopApache SparkHivePigSqoopKafkaSpark StreamingFlinkMapreduceHDFS
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