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Hive Learning Jobs in Texas (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB * Ad Tech experience is preferred

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

You will apply machine learning science as a core discipline - developing novel algorithms and ... Hadoop, Hive, Spark). * Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB * Ad Tech experience is preferred

Bigdata Engineer

Plano, TX · On-site

$52 - $69/hr

... NoSQL, Hive, Apache Spark • Python • Java & REST • GIT and Version Control Desirable Technical Skills • Familiarity with HTTP and invoking web-APIs • Exposure to machine learning ...

Bigdata architect

Austin, TX · On-site

$63.25 - $81.25/hr

Skill Hive, Sqoop, Impala, Datameer and Platfora, UNIX, Agile, Waterfall, ETL, Application ... learning new technologies and products Self-starter who works with minimal supervision Strong ...

... hive and SQL * Collaborate with cross functional teams to gather reqs and design scalable solutions * Work on deployment of machine learning models - on prem cloud and Kubernetes * Monitor the ...

Technical Lead

Dallas, TX · On-site

$100K - $110K/yr

Validate machine learning pipelines and models, including experiment tracking via MLflow. * Monitor ... Solid experience with big data platforms (Hadoop, Hive, Impala, Sqoop). * Hands-on expertise in ...

Senior Data Engineer with DevOps

Dallas, TX · On-site

$129K - $165K/yr

Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Airflow * Containerization * DevOps * Elastic Stack & Elasticsearch * GitHub * Hadoop Hive * Jenkins * JSON ...

Senior Data Engineer with DevOps

Dallas, TX · On-site

$128K - $165K/yr

Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Airflow * Containerization * DevOps * Elastic Stack & Elasticsearch * GitHub * Hadoop Hive * Jenkins * JSON ...

... Scala), Hadoop and Hive primarily - Should have ability to build and manipulate Spark RDD ... Machine Learning Ranjith Saxon Global Inc Direct: 972-573-3644 Desk: 972-363-1009* 218 ...

... Hadoop and Hive primarily • Should have ability to build and manipulate Spark RDD's • ... Learning • Bachelor's degree in Computer Science field and related field Company : Saxon Global ...

Selecting features, building and optimizing classifiers using machine learning techniques * Data ... Proficiency in using query languages such as SQL, Hive, Pig * Experience with NoSQL databases, such ...

Java Full Stack Developer (GC--USC)

Plano, TX

$50.25 - $64.75/hr

Experience with big data technologies like Hadoop / Hbase / Spark / Kafka / Hive etc * Strong understanding of Machine Learning and some experience with using ML libraries * Experience and desire to ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value ... Hive connections, Kafka, Spark, Map Reduce, Tez * Secondary Skills - Azure HDInsight, Databricks ...

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Hive Learning information

See Texas salary details

$10.2K

$78.2K

$130.4K

How much do hive learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for hive learning in Texas is $78,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $129,500.00 per year, depending on experience, location, and employer.

How does a Hive Learning facilitator typically collaborate with subject matter experts and participants to maximize engagement and learning outcomes?

As a Hive Learning facilitator, you will work closely with subject matter experts to co-create and adapt digital learning content, ensuring it is relevant and impactful for your audience. Facilitators often moderate discussions, encourage participation, and provide guidance to learners, fostering a collaborative online environment. Regular communication with both content creators and participants helps identify areas for improvement and address any challenges quickly. This role requires strong interpersonal skills and the ability to adapt facilitation techniques to meet the evolving needs of diverse teams.

What are the key skills and qualifications needed to thrive as a Learning and Development Specialist at Hive Learning, and why are they important?

To thrive as a Learning and Development Specialist at Hive Learning, you need expertise in instructional design, adult learning principles, and experience in creating digital learning content, often supported by a degree in education, HR, or a related field. Familiarity with learning management systems (LMS), content authoring tools, and digital collaboration platforms is typically required. Outstanding facilitation, communication, and stakeholder management skills help you engage learners and drive organizational change. These capabilities are essential to ensure effective knowledge transfer, foster engagement, and achieve impactful learning outcomes in a digital-first environment.

What is the difference between Hive Learning vs Learning and Development Specialist?

AspectHive LearningLearning and Development Specialist
CredentialsTypically requires experience in corporate training, instructional design, or e-learning platformsRequires similar credentials, often with certifications in training, HR, or instructional design
Work EnvironmentPrimarily in corporate settings, focusing on employee engagement and digital learning solutionsWorks in corporate, educational, or organizational environments developing training programs
Industry UsageUsed across industries for digital learning initiatives and employee developmentCommonly employed in HR and organizational development departments
Search & Comparison IntentOften compared for roles involving digital learning platforms and corporate trainingCompared for designing and implementing employee training programs

Both roles focus on employee learning and development, with Hive Learning emphasizing digital platforms and innovative learning solutions, while Learning and Development Specialists often handle broader training program design and delivery. The choice depends on whether the focus is on digital learning tools or comprehensive training program management.

What is Hive Learning?

Hive Learning is a digital platform designed to facilitate collaborative learning and knowledge sharing within organizations. It helps teams build skills, drive behavioral change, and create a culture of continuous improvement by enabling users to engage in group discussions, share resources, and participate in interactive learning experiences. The platform is often used for employee training, diversity and inclusion initiatives, and leadership development programs.
Infographic showing various Hive Learning job openings in Texas as of July 2026, with employment types broken down into 2% Locum Tenens, 56% As Needed, 34% Full Time, 3% Part Time, 3% Contract, and 2% Summer. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $78,152 per year, or $37.6 per hour.

$109K - $131K/yr

Full-time

Re-posted 11 days ago


Job description

The Enterprise Data Management Services team is looking for a strong, self-motivated Technology Developer to become an integral part of the Data Resiliency program.
Responsibilities include but are not limited to: Developing and enhancing application components for supporting ML/AI models and data ingestion processes, with focus on code resiliency and stability. Interacting & leading a team of developers, and interacting with business partners and develop processes to ensure that ML/AI models are production-ready Developing, enhancing, modifying and/or maintaining applications Working in a fast paced agile environment, under minimal supervision, with guidance from senior team members Participating in analysis on operational issues Participating in peer reviews for designs, code, and other work productsStrong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge
Overview:
Assess requirement and evaluate existing solutions
Build Process to interact with HDFS and Oracle using Python/ PySpark and Oracle PL/ SQL
Create Workflows, jobs and schedule them using Autosys
Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data as per acceptance criteria
Develops and executes test plans to produce quantitative results, identifies test issues and errors, and triages underlying causes
Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Ability to work independently with solid analytical skills
Ability to work with the team; excellent team player with great attitude
Data Resiliency Capabilities
Top 3 skills:
1. Oracle & PL/SQL Knowledge (Expert level)
2. Hadoop ecosystem, Hive Tables
3. Python/PySpark
Preferred Skills:
1. Autosys
2. Agile
Other Required Skills:Strong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge