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

Apple

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Your role will entail close collaboration with data scientists, analysts, and product teams to ... Oracle SQL and database design principles Experience with Linux operating systems Proficiency in ...

Apple

Data Engineer

Austin, TX

$144K - $263K/yr

Your role will entail close collaboration with data scientists, analysts, and product teams to ... Oracle SQL and database design principles Experience with Linux operating systems Proficiency in ...

Apple

Data Engineer

Austin, TX

$144K - $263K/yr

Your role will entail close collaboration with data scientists, analysts, and product teams to ... Oracle SQL and database design principles Experience with Linux operating systems Proficiency in ...

Apple

Data Engineer

Austin, TX

$137K - $250K/yr

Your role will entail close collaboration with data scientists, analysts, and product teams to ... Oracle SQL and database design principles Experience with Linux operating systems Proficiency in ...

Prolim Global

Sr .Net Developer (Local to TX)

Austin, TX · On-site

$54 - $71.25/hr

Experience Oracle data migration. * Experience with cloud-based application development and deployment _____ Preferred Qualifications * Bachelor's degree in business, Computer Science, Information ...

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How much do oracle data science jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for oracle data science in Austin, TX is $56.48, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $65.77 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Oracle Data Science jobs in Austin, TX? For Oracle Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Oracle Data Science jobs in Austin, TX look for? The top searched job categories for Oracle Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Oracle Data Science jobs? Cities near Austin, TX with the most Oracle Data Science job openings:
Oracle Data Science jobs near you
Infographic showing various Oracle Data Science job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,903 per year, or $59.1 per hour.

Data Engineer

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 8 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you love crafting elegant solutions to highly complex challenges. Do you intrinsically see the importance in every detail. As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless.
As a member of the Apple Silicon Technology group, you will collaborate in the design, creation, and enhancement of our data infrastructure, which underpins the productization of our semiconductors across iPhone, iPad, Mac, and numerous other devices. We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between software engineering and data engineering, constructing robust data pipelines, analytics platforms, and data-driven applications that empower our organization to derive valuable insights from extensive datasets.
Description
Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.
Minimum Qualifications
Bachelors Degree plus 3 years of relevant experience
(Degree in Computer Science, Software Engineering, or a related)
Preferred Qualifications
Three or more years of experience in software development, with a specific focus on data systems
Proficiency in Python programming language
Experience with Oracle SQL and database design principles
Experience with Linux operating systems
Proficiency in version control systems (Git)
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments
Master's degree in computer science, data engineering, or a related field
5+ years of experience in data engineering or data-focused software development
Experience with Cassandra NoSQL database
Familiarity with machine learning workflows and machine learning operations (MLOps) practices
Experience with data visualization tools and business intelligence platforms

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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