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Hadoop Big Data Engineer Jobs (NOW HIRING)

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Hybrid Job Type ... The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ · On-site

Skill Hadoop Big Data Big Data Engineer Flume Storm Hive Location Bridgewater, NJ Total Experience 2 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description OPT ...

TriOptus LLC

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to ... Work hands-on with Hadoop, Apache Spark, and other big data tools to support data processing and ...

Sonsoft Inc

Hadoop /Big Data Admin

Saint Louis, MO · On-site

Minimum 4 years experienced in Administration activities in Big Data Technologies Hadoop, Hortonworks (with Spark, Scala) * At least 4 years of experience in Data warehousing * At least 2 years of ...

Jobsbridge

Senior Big Data Architect

Rockville, MD · On-site

$68.50 - $91.75/hr

Skill Hadoop Big Data Engineer Senior Director Manager Location Rockville, MD Total Experience 8 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC can ...

Jobsbridge

Big Data Engineer

Los Angeles, CA · On-site

$60 - $79.50/hr

Company Description Intelliswift Software, Inc As a Big Data Engineer, you will be an integral ... Hadoop, HBase, Elastic Search, etc. 2+ years experience with Java Passion for doing research on ...

Agile Enterprise Solutions

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

Title: Big Data Engineer Location: Pittsburgh, PA Mode: Permanent We are looking for a Big Data ... of Hadoop cluster (Cloudera preferred), with all included services Ability to solve any ongoing ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

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 ...

Wise Skulls Corp.

Fulltime Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/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 ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Experience with Big data technologies such as Hadoop, Spark, Hive & Trino * Evaluate understanding ... Prompt Engineering: Proficiency in crafting effective prompts for AI coding assistants and analysis ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type ... The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

  • Medical

  • Dental

  • Retirement

  • PTO

As a big data engineer you will develop innovative software using state of the art big data ... HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Big Data Engineer Location: Charlotte, NC (onsite) Duration : 12 months ext. Job Type: W2 contract ... Optimize our Hadoop/Spark ecosystem for performance and reliability * Develop real-time data ...

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

As of Aug 13, 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 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.

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 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.
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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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted 7 days ago

Job description

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement

Big Data Engineer
Location: Chicago, IL (Day 1 Onsite) Hybrid
Job Type: Contract / Full Time
Experience: 8+ yrs
Duration: Long Term
We are seeking an experienced Big Data Engineer  to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations. 
Key Responsibilities
* Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
* Build and maintain data ingestion workflows using Apache NiFi.
* Develop and support real-time data streaming solutions using Apache Kafka.
* Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
* Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
* Ensure data quality, integrity, and governance across Big Data platforms.
* Participate in architecture discussions and recommend scalable design solutions.
* Troubleshoot and resolve complex production issues across the Big Data stack.
* Collaborate with cross-functional teams in an Agile environment.
* Mentor junior engineers and contribute to technical best practices.
Required Qualifications
* 8+ years of experience in Big Data technologies.
* Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
* Experience implementing Apache NiFi and Apache Kafka.
* Proficiency in Shell Scripting or Python.
* Experience with PostgreSQL.
* Familiarity with scheduling tools such as Oozie and Control-M.
* Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
* Strong understanding of CI/CD practices.
* Experience in client-facing roles, including requirement gathering workshops.
* Minimum of two end-to-end Big Data implementation projects.
* Ability to work independently and contribute effectively within Agile teams.  

Flexible work from home options available.