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Open Data Jobs in Austin, TX (NOW HIRING)

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 4/29/2026 and open for at least 30 days. Avanade ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

... Open Positions - 1 Company Name LCRA Experience 0 - 20 years Job Site N/A Organization Unit TNE ... Power BI / Data Visualization. Entry level C++ and/or CSS. GIS. AutoCAD. Revit. LOCATION ...

SAP Data Architect

Austin, TX · On-site

$120 - $150/hr

You have a proven track record of designing enterprise data architectures for SAP S/4HANA ... Equity Incentive Plan open to all colleagues after probation, when Resulting grows, you grow with ...

You have a proven track record of designing enterprise data architectures for SAP S/4HANA ... Equity Incentive Plan open to all colleagues after probation, when Resulting grows, you grow with ...

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that ... About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within ...

Data Entry Associate

Austin, TX · On-site

$15.75 - $20.50/hr

Receiving, opening, and sorting of multiple daily shipments, comparing contents to data sheets, separating them out, and setting them forward on their respective testing processes. * Insert customer ...

Be open to occasional travel, including international destinations, as required * Collaborate ... Conduct data analysis and root cause analysis when required. * Assist in planning and executing ...

Data Processing Engineer

Austin, TX · On-site

$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 ...

W2 Role : Data Platform Engineer

Manor, TX · On-site

$123K - $148K/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 ...

AI Engineer, Data Science

Austin, TX · On-site

$100 - $130/hr

Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that ... The Opportunity As a Senior AI Engineer - Data Science , you will be a key technical leader within ...

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 ...

Current Open Positions We are actively seeking experienced professionals for multiple roles within our data center practice: * Data Center Commissioning Engineers * Critical Facilities Project ...

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Initiate open and honest coaching conversations at all levels. Make difficult decisions and take ...

Current Open Positions We are actively seeking experienced professionals for multiple roles within our data center practice: * Data Center Commissioning Engineers * Critical Facilities Project ...

Showing results 41-60

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.

Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 12 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
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.
This role will build solutions that integrate open source software with Apple's internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.
This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
Minimum Qualifications
Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
Bachelor's degree in Computer Science or equivalent experience
Preferred Qualifications
3 or more years of experience building enterprise-level data applications on distributed systems
Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
Experience in cloud data warehousing platforms like Snowflake is highly valued
Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud
Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.

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