Big Data Application Developer

Bright Vision Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Remote work

Job summary

Bright Vision Technologies, a technology consulting and software company, seeks a Big Data Application Developer for remote work in the United States. You will design and operate large-scale data pipelines on Hadoop ecosystems, enabling analytics, ML, and reporting workloads.

Ideal candidates have 6+ years in big-data design and strong Spark, SQL, and Python skills, with experience in streaming, workflows, and distributed systems for scalable, production-grade platforms.

Qualifications

• Bachelor’s degree in CS, engineering, or related field.
• 5+ years designing and operating big-data pipelines on Hadoop.
• Hands-on Spark (Scala/Python/Java) in production.
• Experience with Hive, HDFS, Sqoop, HBase.
• Experience with streaming platforms (Kafka, Spark Streaming, Flink).
• Strong SQL for relational and NoSQL stores.
• Experience with Airflow or Oozie for workflows.
• Solid understanding of distributed systems concepts.
• Scripting in Python or Shell; good troubleshooting and documentation.

Responsibilities

• Design, build, and operate large-scale data pipelines on Hadoop.
• Develop analytics platforms to support enterprise analytics and ML workloads.
• Ensure reliable, performant, cost-effective data platforms in production.

Skills

Big-data pipeline design

Apache Spark

SQL

Python scripting

Shell scripting

Troubleshooting

Documentation

Distributed systems concepts

Education

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

Tools

Hive

HDFS

Sqoop

HBase

Kafka

Spark Streaming

Flink

Airflow

Oozie

Job description

Big Data Application Developer-Remote

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: Big Data Application Developer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years

Sponsorship: U.S. Citizens, Green CardHolders, EADHolders, 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 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

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.