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Oracle Data Science Jobs in Houston, TX (NOW HIRING)

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a ... Familiarity with ERP systems (SAP, Oracle, NetSuite). * Experience with financial data and ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Work with SQL Server, Oracle, Azure SQL , and other relational database technologies. * Optimize ... Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field ...

New

Manufacturing Engineer

Houston, TX · On-site

$60K - $78K/yr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Manufacturing Engineer

Houston, TX · On-site

$60K - $78K/yr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Manufacturing Engineer

Houston, TX · On-site

$85 - $110/hr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Manufacturing Engineer

Houston, TX

$60K - $78K/yr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Manufacturing Engineer

Houston, TX · On-site

$70 - $110/hr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Manufacturing Engineer

Houston, TX

$60K - $78K/yr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Manufacturing Engineer

Houston, TX · On-site

$60K - $78K/yr

Creating manufacturing processes, entering, and analyzing Oracle data such as routers and ... Bachelor of Science degree in Engineering. Mechanical or Industrial Engineering or related ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a ... Familiarity with ERP systems (SAP, Oracle, NetSuite). * Experience with financial data and ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a ... Familiarity with ERP systems (SAP, Oracle, NetSuite). * Experience with financial data and ...

We are seeking a skilled engineer or scientist to lead the deployment and management of direct-to ... Career Level - IC4 About Us Only Oracle brings together the data, infrastructure, applications, and ...

Industrial Engineering, Computer Science, Data Science, or Management Information Systems (MIS ... SAP, Oracle, or NetSuite). * Launch & Value Delivery * Testing & Training: Lead onsite client ...

Industrial Engineering, Computer Science, Data Science, or Management Information Systems (MIS ... SAP, Oracle, or NetSuite). * Launch & Value Delivery * Testing & Training: Lead onsite client ...

Computer Science, MIS or related degree * Experience with Data Engineering and building data pipelines * Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Computer Science, MIS or related degree * Experience with Data Engineering and building data pipelines * Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Showing results 41-60

Oracle Data Science information

See Houston, TX salary details

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How much do oracle data science jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for oracle data science in Houston, TX is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $63.37 per hour, depending on experience, location, and employer.

What is an Oracle Data Scientist?

An Oracle Data Scientist is a professional who uses Oracle's suite of data science tools and platforms to analyze large datasets, build predictive models, and provide data-driven insights for organizations. They leverage Oracle Cloud Infrastructure, Oracle Machine Learning, and other Oracle technologies to process, visualize, and interpret data. Their role often involves collaborating with business stakeholders to solve complex problems, automate processes, and support decision-making using advanced analytics and machine learning techniques.

What are some common challenges Oracle Data Science professionals face when integrating machine learning models with enterprise databases?

Oracle Data Science professionals often encounter challenges related to data compatibility, scalability, and security when integrating machine learning models with enterprise databases. Ensuring that large, complex datasets are properly pre-processed and that models are efficiently deployed within Oracle's ecosystem can require close collaboration with database administrators and IT teams. Additionally, maintaining data privacy and compliance with organizational standards often requires careful planning and ongoing monitoring. Having a strong understanding of Oracle Cloud Infrastructure and its machine learning tools can greatly ease this integration process.

What are the key skills and qualifications needed to thrive as an Oracle Data Science professional, and why are they important?

To thrive as an Oracle Data Science professional, you need expertise in statistical analysis, machine learning, data modeling, and typically a degree in computer science, statistics, or a related field. Familiarity with Oracle Cloud Infrastructure, Oracle Machine Learning tools, SQL, and relevant certifications such as Oracle Data Science Certification are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you translate complex data insights into actionable business strategies. These skills ensure you can leverage Oracle's platforms to derive meaningful insights and drive data-informed decision-making for organizations.

What is the difference between Oracle Data Science vs Data Analyst?

AspectOracle Data ScienceData Analyst
Required SkillsData modeling, machine learning, SQL, Python, RData interpretation, Excel, SQL, visualization tools
Work EnvironmentTech companies, data science teams, cloud platformsBusiness units, reporting teams, analytics departments
CertificationsOracle certifications, data science certificationsNone specific, often Excel or business analytics certifications

Oracle Data Science roles focus on developing machine learning models and advanced analytics using Oracle tools and cloud platforms. Data Analysts primarily interpret data, create reports, and support decision-making with visualization and basic analytics. While both roles require SQL and data handling skills, Oracle Data Science positions demand expertise in machine learning and programming, whereas Data Analysts focus on data reporting and business insights.

What are popular job titles related to Oracle Data Science jobs in Houston, TX?

For Oracle Data Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Oracle Data Science jobs in Houston, TX look for?

The top searched job categories for Oracle Data Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Oracle Data Science jobs?

Cities near Houston, TX with the most Oracle Data Science job openings:

Infographic showing various Oracle Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,210 per year, or $54.4 per hour.

Senior Data Engineer

Quanex

Houston, TX • On-site

$101K - $137K/yr

Full-time

Re-posted 25 days ago


Quanex rating

6.6

Company rating: 6.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

456th of 540 rated manufacturers


Job description

Quanex is looking for a Sr. Data Engineer to join our team located in Houston, Texas.

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ensures reliable, high-quality data flows across systems and owns the full data lifecycle—from ingestion to transformation, storage, and consumption—enabling business insights and data-driven decision-making.

Candidates must be authorized to work in the United States without the need for current or future employer sponsorship. Quanex will not provide sponsorship for this position. Candidates must also be local to Houston, as relocation will not be offered for this position.

We Offer You!

  • Competitive Salary
  • Excellent Bonus Potential
  • Medical, Dental & Vision Plans
  • Paid Time Off, Training & Holidays
  • Charitable Contribution Match Program
  • Tuition Assistance
  • Wellness/Fitness Resources
  • Training & Professional Development
  • 401K Match w/ 2-year Vesting Period
  • Employee Stock Purchase Plan
  • Dynamic Culture & People - just to name a few!

What’s attractive about the Sr. Data Engineer position?

  • Drive Impact Through Data
  • Collaborate Across the Business
  • Thrive in a Fast-Paced Environment

What Success Looks Like:

  • Design, build, and maintain ETL/ELT pipelines to ingest data from ERPs, applications, APIs, and external sources.
  • Own and manage the full data lifecycle: ingestion, transformation, storage, modeling, and consumption.
  • Develop and optimize complex SQL queries, stored procedures, and data transformations for large-scale datasets.
  • Design and maintain scalable data models for Data Warehouse and Data Lake environments (star/snowflake schemas).
  • Integrate data across multiple systems (ERPs, APIs, flat files, third-party tools) ensuring consistency and reliability.
  • Collaborate with integration teams to align data pipelines with enterprise architecture (integration layers, APIs, middleware).
  • Implement data quality, validation, and monitoring frameworks across all stages of the data lifecycle.
  • Optimize data pipelines, queries, and storage for performance, scalability, and cost efficiency.
  • Troubleshoot data issues and ensure timely resolution of data-related incidents.
  • Partner with BI developers, analysts, and business stakeholders to deliver high-quality data solutions.

What You Bring:

  • 5+ years of experience in data engineering or related roles.
  • Bachelor’s degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required.
  • Advanced SQL expertise (complex joins, window functions, query optimization, indexing strategies, performance tuning).
  • Strong experience with ETL/ELT tools and frameworks.
  • Deep understanding of data lifecycle management (ingestion, transformation, storage, governance, and consumption).
  • Strong experience with data integration patterns (APIs, batch processing, streaming, middleware).
  • Proficiency in data modeling (star/snowflake schemas, normalization vs denormalization).
  • Experience with Data Warehousing and Data Lake architectures.
  • Experience with cloud platforms (Azure preferred).
  • Experience with Microsoft Fabric, Azure Data Factory, or similar tools.
  • Familiarity with ERP systems (SAP, Oracle, NetSuite).
  • Experience with financial data and reconciliation processes.
  • Exposure to big data technologies (Spark, Databricks).
  • Understanding of EDI or structured data exchange formats.
  • Experience implementing data governance and data quality frameworks.
  • Strong analytical and problem-solving skills.
  • Attention to detail with strong focus on data quality and integrity.
  • Ability to understand and manage end-to-end data flows across systems.
  • Strong collaboration across technical and business teams.
  • Ownership mindset with proactive issue resolution.
  • Ability to work in agile, fast-paced environments.

The salary range for this position is $120,000 to $140,000 with bonus potential.

Call or text 346-277-9038 to apply!

About Quanex, A Part of Something Bigger

Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com.

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