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Remote Hadoop Jobs (NOW HIRING)

Ecom Industries

Senior Data Engineer (Remote)

$108K - $147K/yr

Senior Data Engineer (Remote) - 6 Month Contract + Basic Qualifications: * A minimum of three years ... Experience with data storage technologies (Redshift, S3, Hadoop, Graph, etc.) * Experience with ...

Lorven Technologies

Data Engineer

$117K - $140K/yr

Remote Role * Bachelor's degree in related field. * Hands-on experience in building data solutions for advanced analytics * Deep knowledge of big-data technologies, such as Hadoop and Spark * Solid ...

Software Technology Inc

Big Data Engineer - Ascend Ops

$57 - $75.50/hr

Big Data Engineer 12+ month contract Remote - HQ in Costa Mesa, CA • BS degree in computer ... Hadoop / Spark technologies such as Hadoop, MapReduce, HDFS, HBase, Hive, Flume, Sqoop, Kafka ...

Vytwo

SW Engineer (DevOps)

Prosper, TX · Remote

$48.25 - $66.25/hr

Blue Bell, PA 100% Remote *Healthcare experience is a must Youll work with the development team to ... Python, PySpark, Cloudera Hadoop. SKILLS & COMPETENCIES: Excellent verbal and written communication ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Remote in the US Start Date: 5/4 Duration: 4 months Location: Milwaukee, WI Visa: USC, GC, GC-EAD ... SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with ...

Software Technology Inc

Big Data Developer

$54.25 - $70.25/hr

Big Data Engineer Experian Contract Projected Duration - 12+ month contract Remote - HQ in Costa Mesa Big Data Hadoop, Spark, PySpark Hands on Programming - Java, Scala, Python AWS Cloud -S3, EFS ...

Ruri Software Technologies LLC

Java Developer

$52.25 - $67.50/hr

Remote Skill Set Category Skills Must Have 6+ Years of Java development Experience 3-4+ Years of ET ... platforms like Kafka/Pulsar Hadoop fundamental concepts Good to have Experience in cloud ...

Software Technology Inc

Big Data Developer

$54.25 - $70.25/hr

Big Data Engineer Experian Remote Projected Duration: 12+ month contract Big Data Hadoop, Spark, PySpark Hands on Programming - Java, Scala, Python AWS Cloud - S3, EFS, MSK, ECS, EMR, Lambdas ...

Ova Technologies

Bigdata Engineer

$57 - $75.50/hr

Remote Job Type: Contract Department: [Data Engineering/IT/Analytics] Reports To: [Data Engineering ... Design and implement robust, scalable data pipelines using tools like Apache Spark, Hadoop, Kafka ...

United IT

Big Data Engineer

$57 - $75.50/hr

Remote Role Summary * Excellent Scala, PySpark, Java coding experience for REST API and SOAP ... Excellent Batch Application performance tuning (Spark/Hadoop/EMR, Java, python) * Must have Linux ...

Futran Tech Solutions Pvt. Ltd.

Big Data Engineer

$50 - $52/hr

Remote, prefer Costa Mesa Here is JD for Big Data engineer (12+ yrs Exp) Excellent Scala, Pyspark ... tuning (Spark/Hadoop/EMR, Java, python) Must have Linux experience (Shell scripting/Python ...

ClifyX

Bigdata Database Engineer

Egg Harbor, NJ or possible remote Property: Not supplied. Subcontractors must use their own Hours ... Candidate must have a level of familiarity with Big Data, Hadoop, HDFS, Hive, Pig, MongoDB, and ...

Software Technology Inc

React Developer

Remote React Developer Location: Bentonville, AR preferred (Remote start available) Duration: 1 ... Some experience in Big Data platforms including Hadoop, Hive, Spark, Teradata, and in-memory and ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Familiarity with big data tools like Hadoop, Spark, or Airflow. * Experience with Snowflake for ...

Navtech, Inc.

SALESFORCE LEAD/MANAGER

$56.75 - $75.25/hr

Remote Duration: Longterm Contract * The client is looking to fulfill 1 open position as SFDC tech ... works from SFDC to Hadoop (HDFS connector, confluent). * Since it will be hosted over GCP so ...

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How much do remote hadoop jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote hadoop in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Hadoop position, and why are they important?

To thrive as a Remote Hadoop professional, you need a strong background in big data management, distributed computing, and proficiency in Hadoop ecosystem tools such as HDFS, MapReduce, Hive, and Spark. Familiarity with cloud platforms (like AWS EMR or Azure HDInsight), scripting languages (like Python or Scala), and certifications such as Cloudera Certified Associate (CCA) or Hortonworks are often highly valued. Excellent problem-solving abilities, self-motivation, and effective virtual communication skills are essential for remote collaboration and troubleshooting. These skills enable professionals to efficiently manage large-scale data processing, ensure system stability, and contribute to distributed teams from a remote environment.

What is a Remote Hadoop job?

A Remote Hadoop job involves working with Hadoop, a big data processing framework, from a remote location. Professionals in this role manage, maintain, and optimize Hadoop ecosystems, including HDFS, MapReduce, Hive, and Spark. Responsibilities may include data processing, performance tuning, and troubleshooting. These roles are common in industries that handle large-scale data processing, such as finance, healthcare, and e-commerce. Remote Hadoop jobs require expertise in distributed computing, programming (Java, Python, or Scala), and cloud platforms like AWS or Azure.

What does a typical workday look like for someone in a Remote Hadoop position?

A typical workday for a Remote Hadoop professional involves maintaining, optimizing, and monitoring Hadoop clusters, as well as developing and deploying data processing workflows using Hadoop ecosystem tools. You’ll likely participate in daily stand-up meetings with cross-functional teams, troubleshoot data ingestion issues, and collaborate with data engineers and analysts to meet project goals. Much of the communication happens through video calls, chat platforms, and project management tools, making effective virtual collaboration a key part of the role. Task priorities often shift based on data volume, system performance needs, and business requirements, so adaptability and proactive problem-solving are important for success in this remote position.

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in big data management, requiring skills in cluster setup, maintenance, and troubleshooting. It offers opportunities in data-driven industries and often involves certifications like Cloudera or Hortonworks. The role typically involves working with tools such as Hadoop Distributed File System (HDFS) and MapReduce, with demand driven by the growth of data analytics.

How can I make 2000 a week working from home?

A remote Hadoop professional can increase earnings by gaining advanced skills, certifications, and experience to command higher rates or salaries. Freelance or consulting work in data engineering, big data projects, or specialized analytics can also help reach that income level, often requiring strong knowledge of tools like Spark, Hive, and cloud platforms. Consistent high-quality work and building a strong reputation are essential for earning $2000 weekly from home.

How to make 1000 a week remotely?

A remote Hadoop professional can earn $1,000 or more weekly by working on data processing projects, consulting, or freelance tasks that leverage Hadoop skills. Increasing income may involve gaining certifications, expanding expertise in related big data tools, and securing high-paying contracts or full-time roles with competitive salaries. Consistent remote work and building a strong portfolio can also help achieve this income level.

How can I make $100,000 a year working from home?

A remote Hadoop professional can reach a $100,000 annual salary by gaining advanced skills in big data processing, obtaining relevant certifications like Cloudera or Hortonworks, and gaining several years of experience. Working in industries such as finance, healthcare, or technology, and demonstrating expertise in distributed computing and data management can also increase earning potential. Salary levels depend on experience, location, and the complexity of projects handled.
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Remote Hadoop jobs near you

Senior Data Engineer (Remote)

Ecom Industries

Remote

$108K - $147K/yr

Other

Posted 4 days ago

Job description

Senior Data Engineer (Remote) - 6 Month Contract +

Basic Qualifications:

  • A minimum of three years developing and deploying large scale advanced analytics applications into a production environment
  • Minimum of five years, hands-on experience collaboratively developing code in object-oriented language for a production environment, including:
    • Experience working in Linux environment (bash scripting)
    • SQL (Data Normalization)
    • Python
    • Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.)
    • Experience in data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
    • Advanced experience in data visualization tools with a strong grasp of effective data modeling and visualization practices
    • Experience rapidly developing proof of concepts and testing new ideas, as well as scale these ideas into production ready models

Preferred Qualifications:

  • Advanced, relevant education, advanced Degree (Masters or PhD) in engineering, mathematics, physics, economics, computer science, statistics, or business analytics
  • Experience with AWS big data services (Kinesis, Glue, EMR, Spectrum etc.)
  • Experience with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.)
  • Experience with data virtualization technologies (Denodo, etc.)
  • Experience with data visualization tools (PowerBI, Tableau, etc.)
  • Experience with Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD)
  • Experience with data storage technologies (Redshift, S3, Hadoop, Graph, etc.)
  • Experience with cloud Platforms (AWS, Azure, Google)
  • Experience with multiple languages and syntax (Python, SQL, Apache Spark, etc.)
  • Experience with Container based orchestration of big data pipelines

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