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Open Data Jobs in Austin, TX (NOW HIRING)

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

The role is responsible for developing scalable data infrastructure and processing pipelines built on open table formats, distributed query and compute engines, and containerized cloud infrastructure ...

Data Protection, Manager

Austin, TX · On-site

$150K - $178K/yr

As a Data Protection Manager, you'll lead the delivery of data protection and data governance ... We anticipate this job posting will be posted on 8/10/2026 and open for at least 10 days. Avanade ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Contributions to open-source data tools or communities. What We Offer * Competitive salaries * Excellent medical, dental and vision benefits * Participation in the employee stock option program

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates ...

Data ScientistABOUT US Shipwell believes we are fundamentally changing the logistics industry and ... An open work environment where everyone, even the new folks, have a voice View all our open ...

Data Scientist ABOUT US Shipwell believes we are fundamentally changing the logistics industry and ... An open work environment where everyone, even the new folks, have a voice View all our open ...

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

... reviewing open issues and action items; contributing information to team meetings and reports ... Good understanding of Data Governance and other Data Quality practices * Experience with leveraging ...

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

... reviewing open issues and action items; contributing information to team meetings and reports ... Good understanding of Data Governance and other Data Quality practices * Experience with leveraging ...

Lead the adoption of Lakehouse architectures utilizing open table formats such as Apache Iceberg and Delta Lake. * Drive implementation of domain-oriented architectures, Data Products, Data Mesh ...

PCA Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Explore our open opportunities atwww.dpr.com/careers.

Data Protection Consultant

Austin, TX · On-site

$112K - $133K/yr

As a Data Protection Consultant, you'll lead the delivery of data protection and data governance ... We anticipate this job posting will be posted on 8/10/2026 and open for at least 3 days. Avanade ...

Showing results 21-40

Open Data information

See Austin, TX salary details

$45.6K

$163.6K

$241.4K

How much do open data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for open data in Austin, TX is $163,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What is open data?

Open data refers to data that is made publicly available for anyone to access, use, and share without restrictions. It is typically provided by governments, organizations, or institutions in formats that are easy to read and process, such as CSV or JSON files. The goal of open data is to promote transparency, innovation, and informed decision-making by making information freely available to the public. Open data can be used in a variety of fields, including research, journalism, business, and civic engagement.

What are the key skills and qualifications needed to thrive as an open data specialist, and why are they important?

To thrive as an Open Data Specialist, you need strong data analysis skills, proficiency in data management, and a background in fields such as information science, statistics, or computer science. Familiarity with open data platforms, data visualization tools, and knowledge of data standards or metadata schemas are typically required, along with relevant certifications like Certified Open Data Practitioner. Excellent communication, collaboration, and problem-solving skills help translate complex data findings to diverse audiences and stakeholders. These abilities are crucial for ensuring data transparency, accessibility, and impactful use of open data resources.

What are some common challenges faced by professionals working in open data roles when collaborating with different departments?

Professionals in Open Data roles often encounter challenges such as varying data standards across departments, differing levels of data literacy, and concerns about data privacy or security. Building consensus on data sharing protocols and ensuring data quality can require extensive communication and advocacy. Effective Open Data specialists foster collaboration by translating technical concepts into accessible language and working closely with IT, legal, and policy teams to align on best practices and compliance.

What is the difference between Open Data vs Data Analyst?

AspectOpen DataData Analyst
Required CredentialsNone specific; open data is publicly availableBachelor's degree in data science, statistics, or related field
Work EnvironmentPublic repositories, government portals, open data platformsCorporate offices, consulting firms, or data teams within organizations
Employer & Industry UsageGovernment agencies, research institutions, NGOsBusinesses, marketing, finance, healthcare sectors
Common Search & Comparison IntentUnderstanding open data sources and accessibilityAnalyzing data to derive insights for decision-making

Open Data involves publicly available datasets used for research, transparency, or public benefit, while Data Analysts interpret and analyze data to support organizational decisions. Both roles require analytical skills, but Data Analysts typically have specialized training and work within private or corporate environments, whereas Open Data focuses on data sharing and accessibility for the public or research purposes.

What are popular job titles related to Open Data jobs in Austin, TX?

For Open Data jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Open Data jobs in Austin, TX look for?

The top searched job categories for Open Data jobs in Austin, TX are:

What cities near Austin, TX are hiring for Open Data jobs?

Cities near Austin, TX with the most Open Data job openings:

Infographic showing various Open Data job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $163,567 per year, or $78.6 per hour.

Data Platform SRE, AI & Data Platforms (AiDP)

Apple

Austin, TX

$150K - $225K/yr

Full-time

Medical, Dental, Retirement

Re-posted 17 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 want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Data Platform SRE, you will be responsible for developing and operating our big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production errors and issues to ensure the best data platform experience.","responsibilities":"Develop and operate large-scale big data platforms using open source and other solutions.
Support critical applications including analytics, reporting, and AI/ML apps.
Optimize platform performance and cost efficiency.
Automate operational tasks for big data systems.
Identify and resolve production errors and issues to ensure platform reliability and user experience
Preferred Qualifications
Expertise in designing, building, and operating critical, large-scale distributed systems with a focus on low latency, fault-tolerance, and high availability.
Experience with contribution to Open Source projects is a plus.
Experience with multiple public cloud infrastructure, managing multi-tenant Kubernetes clusters at scale and debugging Kubernetes/Spark issues.
Experience with workflow and data pipeline orchestration tools (e.g., Airflow, DBT).
Understanding of data modeling and data warehousing concepts.
Familiarity with the AI/ML stack, including GPUs, MLFlow, or Large Language Models (LLMs).
A learning attitude to continuously improve the self, team, and the organization.
Solid understanding of software engineering best practices, including the full development lifecycle, secure coding, and experience building reusable frameworks or libraries.
Minimum Qualifications
3+ years of professional software engineering experience with large-scale big data platforms, including strong programming skills in Java, Scala, Python, or Go.
Proven expertise in operating large-scale distributed data processing systems with a strong focus on Apache Spark.
Hands-on experience with table formats and data lake technologies such as Apache Iceberg, ensuring scalability, reliability, and optimized query performance.
Strong background in incident management, including troubleshooting, root cause analysis, and performance optimization in complex production environments.
Proficient with cloud technologies such as AWS and GCP
Experience with Unix/Linux systems and command-line tools for debugging and operational support.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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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