Senior Data Engineer – Hadoop

Bright Vision Technologies; Chesterfield (MO); Remote; USD 145,000 - 165,000; Full time

Job summary

Bright Vision Technologies seeks a Senior Data Engineer - Hadoop to design, build, and operate large-scale data pipelines on Hadoop and related ecosystems. You will ingest, transform, and analyze massive data to support enterprise analytics, ML, and reporting workloads.

The role blends deep Hadoop expertise with strong software engineering to deliver reliable, scalable data platforms. The ideal candidate has 6+ years of experience, hands-on Spark, Hive, HDFS, and streaming tech, plus Python or

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years designing and operating big-data pipelines on Hadoop.
• Strong hands-on Apache Spark experience in production.
• Solid Hive, HDFS, Sqoop, HBase exposure.
• Hands-on streaming with Kafka, Spark Streaming, or Flink.
• Strong SQL and experience with relational and NoSQL stores.
• Experience with Airflow or Oozie for workflow orchestration.
• Distributed systems knowledge: partitioning, replication, fault tolerance.
• Python or Shell scripting; excellent troubleshooting and docs.

Responsibilities

• Design, build, and operate large-scale data pipelines on Hadoop ecosystems.
• Ingest, transform, and analyze massive structured and unstructured data.
• Support enterprise analytics, ML workloads, and reporting.
• Deliver reliable, performant, and cost-effective data platforms in production.

Skills

SQL proficiency

Data modeling

Distributed systems

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Spark

Hive

HDFS

Sqoop

HBase

Kafka

Spark Streaming

Flink

Airflow

Oozie

Python

Shell

CI/CD

Infrastructure as Code

Job 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.

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.