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Hadoop Big Data Engineer Jobs (NOW HIRING)

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on experience in LINUX, Java ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$57 - $75.50/hr

Perform offline analysis of large data sets using components from the Hadoop ecosystem. Evaluate ... Big Data Engineer Flume Storm Hive Additional Information Multiple Openings

Conflux Systems

Big Data Engineer

Charlotte, NC · On-site

$55/hr

Big Data, Hadoop, Python & Angular Job Summary We are seeking an experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through ...

V-CENTRIX-US LLC

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills ... Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java ...

New

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

... big data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of ...

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an ... The ideal candidate should have strong expertise in Hadoop, Spark, Hive, and distributed computing ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

Big Data Engineer Summary We are looking for an experienced Big Data Engineer with 7-10 years of ... Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large ...

Redolent, Inc.

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

Experience with SPARK Structured Streaming, Hadoop/Big Data, and Distributed Systems * Working ... Hands-on programming experience in at least one of the following: Scala, Python, PHP, or Shell ...

Prophecy Technologies

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ...

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Title: Big Data Engineer Location: Dallas, TX (Hybrid) JD: Summary We are looking for an ... Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large ...

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How much do hadoop big data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for hadoop big data engineer in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

What does a Hadoop Big Data Engineer do?

A Hadoop Big Data Engineer designs, develops, and manages large-scale data processing systems using Hadoop and related big data technologies. They are responsible for building data pipelines that collect, process, and analyze vast amounts of data efficiently. Their work includes configuring Hadoop clusters, writing MapReduce jobs, optimizing data storage, and ensuring data security. They also collaborate with data scientists and analysts to provide accessible and reliable data for business intelligence and analytics.

What are the key skills and qualifications needed to thrive as a Hadoop Big Data Engineer?

To thrive as a Hadoop Big Data Engineer, you need expertise in distributed computing, data modeling, and a strong background in programming languages such as Java, Scala, or Python, often supported by a degree in computer science or a related field. Familiarity with Hadoop ecosystems like HDFS, MapReduce, Hive, Pig, Spark, and tools such as Sqoop, Flume, and workflow schedulers is typically required, along with relevant certifications like Cloudera or Hortonworks. Strong problem-solving abilities, collaboration, and effective communication skills help engineers interpret complex data requirements and work within cross-functional teams. These skills and qualities are crucial for efficiently processing large data sets, ensuring system reliability, and delivering actionable business insights.

What are some common challenges Hadoop Big Data Engineers face when working with large-scale data processing systems?

Hadoop Big Data Engineers often encounter challenges such as optimizing the performance of distributed data processing jobs, ensuring data quality and consistency across clusters, and managing resource allocation effectively in multi-tenant environments. Troubleshooting slow-running jobs and handling unexpected failures in the Hadoop ecosystem can be complex, requiring strong problem-solving skills and familiarity with tools like YARN, Hive, and Spark. Collaboration with data scientists, analysts, and DevOps teams is essential to address these challenges and ensure smooth data pipeline operations.
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Hadoop Big Data Engineer jobs near you
Infographic showing various Hadoop Big Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Hadoop Big Data Developer

Bright Vision Technologies

Andover, MA • On-site

$100 - $150/hr

Other

Posted 3 days ago

New

Job description

Hadoop Big Data 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

Hadoop Big Data Developer

Location

100% Remote (U.S.)

Position Type

Full-time, Direct W2

Salary Range

$100,000–$150,000 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 Hadoop Big Data 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.

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.

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