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Hadoop Data Engineer Jobs (NOW HIRING)

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Designs, develops, and implements Hadoop eco-system based applications to support business ... Remote is fine but preferably hybrid data engineer with more than 4-5 yrs of exp Required ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

This hybrid role offers an exciting opportunity for candidates with hands-on experience in Hadoop, Apache Spark, and other key technologies. As a Data Engineer, you will play a critical role in the ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using ...

Data Engineer

$117K - $140K/yr

Deep knowledge of big-data technologies, such as Hadoop and Spark * Solid programming skills in Python, Java, SQL querying, and Scala * Familiarity with advanced-analytics tools, such as Anaconda or ...

Data Engineer

Charlotte, NC · On-site

$70.23/hr

A data engineer is responsible for designing data solution frameworks using Hadoop tools and technologies. They are also responsible for ingesting data from databases, streams, and files and ...

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in ... Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ...

Working with Data Engineers determine how to best source data, including identification of ... Qualifications R ,SAS, Data Scientist, moduler, Hadoop, data scientist Additional Information All ...

Data Engineer - IAM

Irving, TX · On-site

$109K - $132K/yr

Experience with Hadoop/HDFS and cloud-native data engineering solutions is highly desirable. Key Responsibilities Design, build, and maintain scalable Data Lake solutions within Google Cloud Platform ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months ... DataStage, Hadoop. Warm Regards, Rahul R3 Technology Inc., 324 Courtyard Drive, Suite A ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc. Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL ...

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Leveraging Aster/Hadoop and SQL data platforms, data mining, visualization and machine learning ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

DATA ENGINEER

New York, NY · On-site

$125K - $150K/yr

Experiment with various Hadoop frameworks like Hive, Pig and Scalding to identify the optimal ... Functional programming experience is a plus * Passion for code correctness and intuition about ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

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Hadoop Data Engineer information

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How much do hadoop data engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for hadoop data engineer in the United States is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Hadoop Data Engineer, and why are they important?

To thrive as a Hadoop Data Engineer, you need strong programming skills (especially in Java, Python, or Scala), a solid understanding of distributed computing concepts, and a background in computer science or related fields. Familiarity with Hadoop ecosystem tools like HDFS, Hive, Pig, Spark, and workflow schedulers such as Oozie, as well as knowledge of big data certifications (e.g., Cloudera Certified Associate), are typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business requirements into technical solutions. These skills and qualifications are essential for efficiently processing large datasets, ensuring data integrity, and delivering scalable data solutions that support organizational goals.

What are Hadoop Data Engineers?

Hadoop Data Engineers are IT professionals who design, build, and maintain large-scale data processing systems using the Hadoop ecosystem. They are responsible for developing and managing complex data pipelines, ensuring the efficient storage, processing, and retrieval of big data. Their work involves using tools like HDFS, MapReduce, Hive, and Spark to process massive datasets, often in support of data analytics or machine learning initiatives. Hadoop Data Engineers also optimize data workflows, troubleshoot issues, and collaborate with data scientists and analysts to deliver reliable data solutions.

What are some typical challenges a Hadoop Data Engineer faces when managing large-scale data pipelines?

Hadoop Data Engineers often encounter challenges such as optimizing data processing jobs for performance, ensuring data integrity across distributed systems, and managing the scalability of clusters as data volumes grow. Troubleshooting job failures due to resource constraints or data inconsistencies is also common. Additionally, collaborating with data scientists and analysts to ensure data is transformed and made accessible in a timely manner is a key part of the role.

Can I make 200K as a data engineer?

Hadoop Data Engineers with extensive experience, advanced skills in big data tools, and certifications can potentially earn salaries around or above $200,000, especially in high-cost-of-living areas or senior roles. However, salaries vary based on location, industry, company size, and individual expertise, with entry-level positions typically earning less than this amount.

What is the salary of Hadoop data engineer?

The salary of a Hadoop Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in tools like Spark or Kafka may earn higher salaries.

Do data engineers use Hadoop?

Yes, data engineers often use Hadoop as part of their data processing and storage workflows. Hadoop's ecosystem, including tools like HDFS, MapReduce, and Hive, is commonly employed to handle large-scale data ingestion, transformation, and analysis tasks performed by data engineers.

What engineer makes 500,000 a year?

A senior or specialized Hadoop Data Engineer with extensive experience, advanced skills in big data tools, and certifications can potentially earn $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require expertise in distributed systems, cloud platforms, and data architecture, along with leadership responsibilities. Compensation at this level is typically achieved through a combination of salary, bonuses, and stock options.

What is the difference between Hadoop Data Engineer vs Data Analyst?

AspectHadoop Data EngineerData Analyst
Required SkillsBig data tools, Hadoop ecosystem, SQL, Java/ScalaData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, big data infrastructureBusiness units, reporting tools, data visualization platforms
CertificationsHadoop certifications, cloud certificationsNone specific, often data analysis or visualization certifications

The main difference between a Hadoop Data Engineer and a Data Analyst lies in their focus: Hadoop Data Engineers build and maintain big data infrastructure using Hadoop and related tools, while Data Analysts interpret data to generate insights using analysis and visualization tools. Both roles require strong SQL skills, but the engineering role emphasizes big data technologies and infrastructure development.

More about Hadoop Data Engineer jobs
What states have the most Hadoop Data Engineer jobs? States with the most job openings for Hadoop Data Engineer jobs include:
What job categories do people searching Hadoop Data Engineer jobs look for? The top searched job categories for Hadoop Data Engineer jobs are:
Infographic showing various Hadoop Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.
Data Engineer

Data Engineer

Redolent, Inc.

Sunnyvale, CA • On-site

$136K - $163K/yr

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Job description

Description:
Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation. Experience/Skills Required:1. Bachelor?s degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related2. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase3. Hands on experience with Unix, Teradata and other relational databases. Experience with @Scale a plus.4. Strong communication and problem-solving skills.
Note:
Remote is fine but preferably hybrid
data engineer with more than 4-5 yrs of exp
Required qualifications - have exp with Python, PySpark, Scala, Spark, GCP, Airflow DAG, Hive, Data pipeline technologies, Any NoSql Nice to haves - Hadoop, Map reduce, BigQuery, COSMOS

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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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