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Remote Hadoop Jobs in Texas (NOW HIRING)

Tiger Analytics Inc.

DS/AI Tech Leader

Dallas, TX · On-site +1

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... technologies (Hadoop, Spark). • Strong analytical and problem-solving skills. Benefits This ...

Tiger Analytics Inc.

DS/AI Tech Leader

Dallas, TX · On-site +1

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... Familiarity with big data technologies (Hadoop, Spark). Strong analytical and problem-solving ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

... Hadoop, MapReduce/HDFS, Spark, Kafka); Docker/Kubernetes * 4+ years with MySQL and NoSQL databases * 4+ years with Agile/Scrum, GitHub, Jenkins CI/CD, JUnit; solid coding standards and code reviews ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

... Hadoop, MapReduce/HDFS, Spark, Kafka); Docker/Kubernetes * 4 years with MySQL and NoSQL databases * 4 years with Agile/Scrum, GitHub, Jenkins CI/CD, JUnit; solid coding standards and code reviews * 2 ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Austin, TX · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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All JobsHadoop JobsRemote Hadoop JobsRemote Hadoop Jobs in Texas

Remote Hadoop information

See Texas salary details

$9

$55

$68

How much do remote hadoop jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote hadoop in Texas is $55.80, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $60.91 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.

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

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

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

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

What cities in Texas are hiring for Remote Hadoop jobs?

Cities in Texas with the most Remote Hadoop job openings:

Remote Hadoop jobs near you
Infographic showing various Remote Hadoop job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, 13% Contract, and 1% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $116,061 per year, or $55.8 per hour.

Software Engineer - Analytics Focus

1872 Consulting

Pasadena, TX • Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Software Engineer - Analytics Focus100% Remote: Spokeo will only hire candidates located in these states: Arizona, California, Colorado, Florida, Georgia, Kentucky, Maryland, Michigan, Missouri, Nevada, New Hampshire, New Jersey, North Carolina, North Dakota, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, and WashingtonSalary: $110K - $140K + 10% BonusSpokeo is a People Search Engine that both enlightens and empowers their customers. They reconnect friends reunite families, prevent fraud, and more.

Spokeo is looking for a Software Engineer - Analytics Focus to join their team and help build their NextGen customer data management, analytics, and Client platform. This role will work as part of the larger data science and analytics team to build and maintain business-critical data pipelines and infrastructure.

Responsibilities:

Design and build maintainable and scalable infrastructure for data extraction, preparation, and loading of data from backend services and web browser clients to our data lake and other reporting databasesBuild and manage tools to monitor pipeline performance and provide deeper insight into pipeline metricsMonitor data pipelines and services for issues and ensure identified bugs are routed and resolvedWork with large, complex SQL and NoSQL databasesCreate and maintain technical documentation and write well-abstracted, reusable, and efficient codeRequirements:2+ years of experience in data engineering or software developmentStrong competency in SQLStrong programming skills in languages such as PythonExperience with AWS eco-system and working with services like EMR, RDS, Redshift, Kinesis, etc. Experience working with large data sets in a Hadoop or Spark environmentNice to Have's: Experience with Ruby on RailsExperience working with Customer DataExperience with Click Streaming

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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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