---
title: Senior Data Engineer Hadoop
description: Bright Vision Technologies is hiring for the Senior Data Engineer Hadoop role.
  Pays $145K–$165K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/senior-data-engineer-hadoop-at-bright-vision-technologies-01a0b3da-f9a4-70ec-b348-f0d3192d0690
date: 2026-09-28T03:37:21Z
og_description: Join Bright Vision Technologies as Senior Data Engineer Hadoop. Pays $145K–$165K
  per year. Full-time, remote role.
og_image: https://www.foundrole.com/og/wqkm8o.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | Bright Vision Technologies |
| **Location** | Remote |
| **Salary** | $145K/yr - $165K/yr |
| **Type** | Full Time |
| **Posted** | Sep 23, 2026 |

## Remote check

**Fully remote: passed our check.** The role itself is remote, with no recurring office days, travel under 10%, no on-site duties and no end date on the remote setup.

- "Location: 100% Remote (U.S.)"

**Where you can work from:** United States
## Description

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:** Senior Data Engineer - Hadoop  
**Location:** 100% Remote (U.S.)  
**Position Type:** Full-time, Direct W2  
**Salary Range:** $145,000–$165,000 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 Senior Data Engineer - Hadoop 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.

**How to Apply**  

Would you like to know more about this opportunity? 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](http://www.bvteck.com).  

Bright Vision Technologies is an Equal Opportunity Employer.

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.
## Skills

- Apache Iceberg
- Cloud Computing
- Data Replication
- Data Lakehouse
- Debugging
- Scripting
- NoSQL
- Apache HBase
- Infrastructure as Code (IaC)
- Amazon EMR
- Apache Oozie
- Python
- Fault Tolerance
- Hdinsight
- Microsoft Azure
- Databricks
- SQL
- Big Data
- Apache Spark
- Kubernetes
- Apache Flink
- Apache Kafka
- Apache Airflow
- Apache HTTP Server
- CI/CD
- Trino
- Hadoop Distributed File System (Hdfs)
- Apache Hive
- Data Streaming
- Apache Hadoop
- Apache Hudi
- Database Partitioning
- Data Governance
- Technical Documentation
- Scala
- Collibra
- Computer Science
- Sqoop
- Data Engineering
- Databases
- Workflow Orchestration
- Java
- Spark Streaming
- Distributed Systems

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/senior-data-engineer-hadoop-at-bright-vision-technologies-01a0b3da-f9a4-70ec-b348-f0d3192d0690?utm_source=ai_markdown)

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