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Remote Hive Jobs (NOW HIRING)

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Software Engineer

Rock Hill, SC · Remote

Requirement - Software Engineer Location- USA Remote Contract W2 Assessment required *Key skill ... Microsoft SQL Server, HBASE, Hive experience with web services using Java/Spring Boot Healthcare ...

IT America Inc

ETL Tester

Dallas, TX · Remote

Remote Duration: Longterm contract Type: Only W2 Note: Looking for EX- Santander contractors ... Good knowledge of Big Data, Hadoop, Hive, Impala database, data security and dimensional model ...

Net Orbit

Big Data Testing Engineer

$57 - $75.50/hr

Remote / El Segundo, CA 90245 (Current Roles & Responsibility): • Validation of data using sqoop ... Hands on HQL, hdfs files, partitioning, data load, mock data prep and queries writing in hive ...

Low Battery

Social Editor (Pop Hive)

Los Angeles, CA · On-site +1

A fully remote team * Health insurance * Yearly skills development budget RapTv is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all ...

NTENT

Java Developer (Remote Permanent Opportunity)

$52.25 - $67.50/hr

THIS IS A 100% REMOTE ROLE. WE ARE OPEN TO MID LEVEL TO ARCHITECT LEVEL CANDIDATES About NTENT We ... Hadoop ecosystem (HDFS, Hadoop, Hive) * Spark * Samza * Kafka * Aerospike * Lucene NLP (Solr or ...

NTENT

Java Developer (Remote Permanent Opportunity)

$52.25 - $67.50/hr

THIS IS A 100% REMOTE ROLE. WE ARE OPEN TO MID LEVEL TO ARCHITECT LEVEL CANDIDATES About NTENT We ... Hadoop ecosystem (HDFS, Hadoop, Hive) * Spark * Samza * Kafka * Aerospike * Lucene NLP (Solr or ...

Ruri Software Technologies LLC

TEST MANAGER

Remote Job summary Functional Testing - BIGDATA ValidationTeradata Testing 15 to 18 yrs. Roles ... Should have Strong SQL/Hive Skills. * Experience working with the business and IT team diligently ...

Kemper

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... SPECIAL SKILLS: 10 yrs exp w/ SQL & adapt skills in multiple relational tech. (Redshift, Hive ...

Global Alliant Inc

DevSecOps Engineer

Baltimore, MD · Remote

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 ...

Global Alliant Inc

DevSecOps Engineer

Baltimore, MD · Remote

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 ...

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... SPECIAL SKILLS: 10 yrs exp w/ SQL & adapt skills in multiple relational tech. (Redshift, Hive ...

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How much do remote hive jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote hive 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 jobs pay 4000 a week without a degree?

Remote Hive offers roles such as sales, digital marketing, and customer support that can pay around $4,000 weekly without requiring a degree. These positions often rely on skills, experience, and performance, and may involve flexible schedules and remote work environments.

How to make $1000 a week remotely?

Remote Hive offers opportunities to earn $1000 or more weekly by engaging in high-demand freelance roles such as digital marketing, content creation, or virtual assistance. Success depends on building skills, gaining experience, and maintaining a consistent schedule, often requiring multiple clients or projects simultaneously.

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

To thrive as a Remote Hive Data Engineer, you need a strong background in data engineering, SQL, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with Apache Hive, Hadoop, cloud platforms like AWS or Azure, and data pipeline tools is typically required, along with relevant certifications. Excellent problem-solving, communication, and time-management skills are essential for collaborating remotely and ensuring data integrity. These abilities are crucial for managing large-scale data sets efficiently and enabling data-driven decision making in distributed work environments.

How does working as a Remote Hive Engineer typically differ from on-site roles in terms of team collaboration and communication?

As a Remote Hive Engineer, much of your collaboration with data engineers, analysts, and other stakeholders happens virtually through tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential since you'll be coordinating across different time zones and may have less face-to-face interaction. Regular stand-ups, documentation, and asynchronous updates help ensure alignment within the team. You'll need to be self-motivated and comfortable working independently, but also ready to engage in collaborative problem-solving sessions when complex Hive queries or data issues arise.

What are Remote Hive jobs?

Remote Hive jobs refer to positions offered by or listed on Remote Hive, a platform dedicated to connecting professionals with remote job opportunities. These jobs span various industries and roles, allowing individuals to work from anywhere with internet access. Remote Hive typically features positions in tech, marketing, customer support, and more, helping companies find remote talent globally. This flexibility supports work-life balance and access to a broader talent pool.

How can I make 2000 a week working from home?

Remote Hive offers opportunities for remote work that can potentially generate $2000 weekly, often through high-demand roles such as freelance consulting, digital marketing, or specialized customer support. Achieving this income typically requires strong skills, experience, and sometimes multiple clients or projects, along with effective time management and the use of relevant tools like communication platforms and project management software.

What is the easiest remote job to get hired for?

Entry-level customer service or data entry positions are often considered the easiest remote jobs to obtain, as they typically require minimal experience and basic computer skills. These roles often involve straightforward tasks and may not require specialized certifications, making them accessible for beginners seeking remote work.

What is the difference between Remote Hive vs Remote Customer Support Specialist?

AspectRemote HiveRemote Customer Support Specialist
Required CredentialsVaries by role, often includes customer service or technical certificationsTypically requires customer service experience and communication skills
Work EnvironmentRemote, flexible hours, team collaboration toolsRemote, focused on assisting customers via chat, email, or phone
Employer & Industry UsageUsed across tech, e-commerce, and service industriesCommon in retail, tech, and service sectors
Search & Comparison IntentLooking for remote customer service roles with flexible optionsSeeking remote customer support jobs with specific skills

Remote Hive offers a broad platform for various remote roles, including customer support, with flexible credentials and industry usage. Remote Customer Support Specialist positions focus specifically on customer service tasks, requiring relevant communication skills. Both roles are remote and industry-spanning, but Remote Hive provides a wider range of opportunities beyond customer support.

More about Remote Hive jobs
What cities are hiring for Remote Hive jobs? Cities with the most Remote Hive job openings:
What are the most commonly searched types of Hive jobs? The most popular types of Hive jobs are:
What states have the most Remote Hive jobs? States with the most job openings for Remote Hive jobs include:
What job categories do people searching Remote Hive jobs look for? The top searched job categories for Remote Hive jobs are:
Remote Hive jobs near you
Infographic showing various Remote Hive job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 11% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Data Engineer - Hadoop to Databricks Migration

Interon IT Solutions

Chantilly, VA • Remote

Full-time

Posted 23 days ago

Job description

Senior Data Engineer – Hadoop to Databricks Migration

Location: Remote
Employment Type: W2

Job Description

We are looking for an experienced Senior Data Engineer with strong hands-on experience in Hadoop to Databricks migration.

The candidate will be responsible for migrating legacy Hadoop, HDFS, Hive, and Spark workloads to Databricks and modernizing existing data pipelines using PySpark and Delta Lake.

Key Responsibilities

  • Migrate Hadoop and HDFS workloads to Databricks.
  • Analyze existing Hadoop, Hive, and Spark environments.
  • Migrate large-scale datasets and Hive tables to Databricks.
  • Convert legacy Hive, MapReduce, and Spark jobs to PySpark.
  • Build and maintain ETL/ELT pipelines using Databricks.
  • Develop data solutions using Python, PySpark, Spark SQL, and SQL.
  • Implement Delta Lake and Databricks Lakehouse solutions.
  • Perform source-to-target data mapping and transformation.
  • Validate migrated data for accuracy and completeness.
  • Troubleshoot data migration and pipeline issues.
  • Optimize Spark and PySpark jobs for performance.
  • Support migration testing, production deployment, and post-migration validation.
  • Work with architects and engineering teams during the migration process.
  • Document migration processes and technical solutions.

Required Skills

  • 8+ years of Data Engineering or Big Data experience.
  • Strong Hadoop to Databricks migration experience.
  • Strong experience with Hadoop, HDFS, Hive, and Spark.
  • Hands-on experience with Databricks.
  • Strong Python, PySpark, Spark SQL, and SQL skills.
  • Experience converting legacy Hadoop workloads to Databricks.
  • Strong ETL/ELT pipeline development experience.
  • Experience with Delta Lake and Databricks Lakehouse.
  • Experience with data validation and reconciliation.
  • Strong Spark performance tuning experience.
  • Experience with Git and CI/CD.
  • Strong troubleshooting and communication skills.

Preferred Skills

  • Cloudera or Hortonworks to Databricks migration experience.
  • Unity Catalog.
  • Databricks Workflows and Jobs.
  • Auto Loader and Delta Live Tables.
  • AWS, Azure, or GCP experience.
  • Hadoop modernization and decommissioning experience.