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Remote Hive Jobs in Texas (NOW HIRING)

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Senior Software Engineer, Big Data

Austin, TX · Remote

$140K - $200K/yr

Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies * Comprehensive ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

New

ZipRecruiter

Senior Software Engineer, Big Data

Austin, TX · Remote

$140K - $200K/yr

Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies * Comprehensive ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

New

ZipRecruiter

Senior Software Engineer, Big Data

Austin, TX · Remote

$140K - $200K/yr

Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies * Comprehensive ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

New

ZipRecruiter

Senior Software Engineer, Big Data

Austin, TX · Remote

$140K - $200K/yr

Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies * Comprehensive ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

New

Steer

Manager of Customer Success

Austin, TX · Remote

Operationalize the "Hive-Mind": Transition the team from informal Slack-based collaboration to a ... We Offer * 100% remote work environment * Medical, Dental and Vision insurance within 30 days * 100 ...

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Remote Hive information

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 is a Remote Hive?

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.

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.

What are the most commonly searched types of Hive jobs in Texas?

The most popular types of Hive jobs in Texas are:

What are popular job titles related to Remote Hive jobs in Texas?

For Remote Hive jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Hive jobs in Texas look for?

The top searched job categories for Remote Hive jobs in Texas are:

What cities in Texas are hiring for Remote Hive jobs?

Cities in Texas with the most Remote Hive job openings:

Remote Hive jobs near you

Senior Data Engineer - Hadoop

Bright Vision Technologies

Flower Mound, TX • Remote

$165K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Engineer - Hadoop
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $145,000–$165,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an experienced Senior Data Engineer - Hadoop to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of professional experience designing and operating big-data pipelines on Hadoop.
  • Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.
  • Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
  • Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
  • Strong SQL skills and experience working with both relational and NoSQL data stores.
  • Experience with workflow orchestration tools such as Airflow or Oozie.
  • Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
  • Strong scripting skills in Python or Shell.
  • Excellent troubleshooting, debugging, and documentation skills.

Preferred Qualifications
  • Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.
  • Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi).
  • Exposure to data governance tooling such as Apache Atlas or Collibra.
  • Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino).
  • Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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