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Oracle Machine Learning Jobs in Texas (NOW HIRING)

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications. Design, develop, and maintain Oracle, MemSQL, .NET and Python code necessary to execute on end user ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications. Design, develop, and maintain Oracle, MemSQL, .NET and Python code necessary to execute on end user ...

Gartner

Sr. Data Scientist

Irving, TX · On-site

... Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting • Experience with cloud ...

Gartner, Inc.

Sr. Data Scientist

Irving, TX · On-site

... Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting * Experience with cloud ...

Gartner

Sr. Data Scientist

Irving, TX · On-site

... Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting * Experience with cloud ...

TriOptus LLC

Technical Programmer

Irving, TX · On-site

... machine learning, graph analytics and other advance analytics techniques * 5 plus years working with Oracle, Oracle SQL, Java, and Mongo is necessary * In depth knowledge of data pre-processing ...

Tata Consultancy Service Limited

Technical Lead

Dallas, TX · On-site

$100K - $110K/yr

Perform database validation and reconciliation using Oracle PL/SQL and SQL-based techniques. * Validate machine learning pipelines and models, including experiment tracking via MLflow. * Monitor and ...

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How much do oracle machine learning jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for oracle machine learning in Texas is $56.97, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.30 per hour, depending on experience, location, and employer.

What are the typical responsibilities and daily tasks of someone working in an Oracle Machine Learning position?

Professionals in Oracle Machine Learning roles are typically responsible for building, deploying, and optimizing machine learning models within Oracle Database environments. Daily tasks may include preparing and cleaning large data sets, developing algorithms using SQL, Python, or R, and interpreting results to provide actionable business insights. They often collaborate closely with data engineers, business analysts, and IT teams to understand data needs and translate business requirements into technical solutions. The role also involves monitoring model performance and making continuous improvements to ensure accuracy and efficiency. This position is dynamic and offers opportunities for ongoing learning and career growth in both data science and enterprise database management.

What are the key skills and qualifications needed to thrive in the Oracle Machine Learning position, and why are they important?

To thrive in an Oracle Machine Learning role, you need a strong foundation in machine learning algorithms, data analysis, and proficiency with Oracle Database and PL/SQL, typically supported by a degree in computer science, data science, or a related field. Experience with Oracle Machine Learning tools (such as OML4SQL or OML4Py), certifications like Oracle Certified Professional, and familiarity with platforms such as Oracle Cloud Infrastructure are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams. These competencies are crucial for designing predictive models, extracting meaningful insights from large datasets, and driving data-driven business decisions using Oracle technologies.

What is an Oracle Machine Learning job?

An Oracle Machine Learning job involves using Oracle's machine learning tools and databases to develop, deploy, and manage predictive models and AI-driven solutions. Professionals in this role work with SQL, Python, and Oracle Machine Learning (OML) to analyze data, automate processes, and optimize decision-making. Responsibilities may include data preparation, model training, and integrating machine learning models into Oracle databases and applications. This role is common in industries like finance, healthcare, and retail, where data-driven insights improve business outcomes. Strong knowledge of Oracle Cloud Infrastructure (OCI) and database management is often required.

What are popular job titles related to Oracle Machine Learning jobs in Texas? For Oracle Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Oracle Machine Learning jobs in Texas look for? The top searched job categories for Oracle Machine Learning jobs in Texas are:
What cities in Texas are hiring for Oracle Machine Learning jobs? Cities in Texas with the most Oracle Machine Learning job openings:
Oracle Machine Learning jobs near you
Infographic showing various Oracle Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,492 per year, or $57 per hour.
Data Engineer II

Data Engineer II

EOG Resources, Inc.

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 18 days ago

EOG Resources rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

19th of 75 rated oil and gas companies

Job description

Build, test, and deploy highly scalable and reliable data pipelines. Create and deploy both math and machine learning models to support current and future applications. Design, develop, and maintain Oracle, MemSQL, .NET and Python code necessary to execute on end user (internal customer) and product goals. Create, validate, and operationalize both predictive and math models to drive intelligent decision-making and enhance product functionality.

MINIMUM EDUCATION:             Bachelor's degree in Computer Science or Engineering or Information Technology. 
 
MINIMUM EXPERIENCE:           Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer.
 
SPECIAL REQUIREMENTS:      Experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud-based architectures and containerization of streaming technologies. 

Position will be filled at level commensurate with experience

EOG Resources is an Equal Opportunity Employer, including Veterans and Disabled.
Education:Employment Type: FULL_TIME

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