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Remote Hadoop Jobs (NOW HIRING)

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java. Optimization: Hands-on experience in ... Comfort working with remote team members located in the US, India, or other geographies.

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 ...

SQL Developer

New York, NY · Remote

$46.25 - $63.50/hr

Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java. Performance Tuning: Experience in SQL ... Comfort working with remote team members located in the US, India, or other geographies.

Remote Job summary Functional Testing - BIGDATA ValidationTeradata Testing 15 to 18 yrs. Roles ... Working experience on Bigdata/Hadoop QE Skills. * Preparing and maintaining Requirements ...

Resident Consultant Overview This is a technical role providing post-sales REMOTE support of ... R/Spark on Hadoop preferred. Strong experience in Azure, AWS and GCP Practiced in Tableau, Power BI ...

Data Architect

$65.25 - $84/hr

Remote - Fulltime Position Must Have Technical/Functional Skills: * Strong expertise in data ... Experience with big data platforms (e.g., Hadoop, Spark, Kafka). * Familiarity with cloud-based ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Preferred experience with Hadoop, Spark, Hive, Cassandra, Tomcat, AWS Lambda, Kotlin/Scala ...

Data Engineer

$117K - $140K/yr

Remote Must Have * Proficient in working on the MS Azure Platform (Azure data pipeline etc.; S3 ... Proficient with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Preferred experience with Hadoop, Spark, Hive, Cassandra, Tomcat, AWS Lambda, Kotlin/Scala ...

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying ... Deep knowledge of Big-Data technologies, such as Hadoop and Spark * Solid programming skills in ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington ...

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... You should also be familiar with data management tools and platforms like Hadoop, Spark, or SQL ...

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Familiarity with the Hadoop ecosystem * Experience with platforms such as MapReduce, Spark, Hive

Showing results 41-60

Remote Hadoop information

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How much do remote hadoop jobs pay per hour?

As of Sep 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 is a remote Hadoop?

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.

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.

More about Remote Hadoop jobs

What cities are hiring for Remote Hadoop jobs?

Cities with the most Remote Hadoop job openings:

What are the most commonly searched types of Hadoop jobs?

The most popular types of Hadoop jobs are:

What states have the most Remote Hadoop jobs?

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What job categories do people searching Remote Hadoop jobs look for?

The top searched job categories for Remote Hadoop jobs are:

Infographic showing various Remote Hadoop job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Healthcare Data Engineer

1 point system

New York, NY • Remote

$117K - $140K/yr

Contractor

Re-posted 10 days ago


Job description

You will work with the development team to build and maintain our legacy claim auditing system. You will analyze the needs and the environment to ensure the solutions you develop consider the current architecture and operating environment, as well as future functionality and enhancements.

Job Duties & Responsibilities

Domain Expertise: Maintain a strong knowledge of medical claims, member data, and provider data.

Agile Development: Participate actively in Agile-based projects.

System Maintenance: Modify existing programs to align with new standards.

Testing & Deployment:

Conduct unit testing of all developed programs.

Create migration packages for system testing, user testing, and implementation.

Job Requirements

Education: Master’s or Bachelor’s degree in Engineering (IT, Electronics, Communication, Computer Science, or Information Systems).

Database Expertise: Extensive experience with large datasets and relational databases, specifically Microsoft SQL Server.

Technical Stack: Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java.

Optimization: Hands-on experience in SQL optimization and tuning using SQL Profiler and Query Execution Plans.

Methodology & Lifecycle:

In-depth understanding of the SDLC.

Experience working in Agile environments.

Data Operations:

Experience with ETL processes and QA within a SQL environment.

Experience addressing operational data issues and ensuring optimal performance.

Healthcare Domain: Experience with healthcare data and health forms.

Analytics: Experience in advanced analytics.

Required Skills

Professionalism: Handles confidential information with sensitivity and maintains high ethical standards.

Interpersonal: Develops positive working relationships and possesses strong communication skills.

Teamwork: Shares ideas and information freely; proactively assists colleagues unprompted.

Mindset: Passionate about technology, self-motivated, and committed to continuous learning.

Desired Skills & Experience

Advanced Frameworks: Knowledge of SAFe (Scaled Agile Framework) or other Agile frameworks.

Big Data Tech: Experience with PySpark and Cloudera Hadoop.

Skills & Competencies

Communication: Excellent verbal and written communication skills.

Adaptability: Strong organizational skills with the ability to adapt to rapidly changing priorities and workloads.

Autonomy: Ability to work well independently and maintain focus in a highly dynamic work environment.

Global Collaboration: Comfort working with remote team members located in the US, India, or other geographies.