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Open Data Jobs in Texas (NOW HIRING)

Fivetran

Senior R&D Software Engineer, Fivetran AI

Austin, TX · On-site

$121K - $160K/yr

About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran ...

Apex Informatics

Data Scientist

Addison, TX · On-site

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... Deep understanding and some exposure to new Gen AI Open-source Models * At least 5 years ...

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

If you have searched our current openings and haven't been able to find a position that fits, we'd ... The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ...

Cymertek

Data Scientist

San Antonio, TX · On-site

Data Scientist LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... Please note that our job openings are dynamic and can open or close quickly (much faster than we ...

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Showing results 21-40

All JobsOpen Data JobsOpen Data Jobs in Texas

Open Data information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do open data jobs pay per year?

As of Aug 8, 2026, the average yearly pay for open data in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 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 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 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 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 popular job titles related to Open Data jobs in Texas? For Open Data jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Open Data jobs in Texas look for? The top searched job categories for Open Data jobs in Texas are:
What cities in Texas are hiring for Open Data jobs? Cities in Texas with the most Open Data job openings:
Open Data jobs near you
Infographic showing various Open Data job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Distinguished Technologist, Distributed Systems & Agentic Query Optimization

Hewlett Packard Enterprise

Houston, TX • Hybrid

Full-time

Re-posted 22 days ago

Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 156 rated electronics manufacturers

Job description

Distinguished Technologist, Distributed Systems & Agentic Query OptimizationThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

HPE is building a nextgeneration platform services ecosystem that unifies multiple cloudnative acquisitions into an integrated Hybrid Cloud services suite. This senior technical role will architect and build largescale distributed systems, federated data services, and customerfacing cloud services. You will be a handson technologist who shapes architecture, prototypes and ships highimpact systems, mentors engineering teams, and helps define longterm technical strategy across business units.

Key responsibilities:

  • Architect, design, and scale large cloudnative distributed services and data platforms

  • Design and build federated distributed query engines and data services to enable realtime analytics, dashboards, and ML consumers.

  • Lead the development of customerfacing services that run on top of the platform (integration, data sharing, observability/analytics services), enabling crossservice capabilities.

  • Deliver handson technical leadership: prototype, prototypevalidate, and implement solutions using modern development practices and tools, including AIassisted coding workflows.

  • Define organizationwide architectures, methodologies, and roadmaps across multiple teams and products; communicate strategy and influence executive and product stakeholders.

  • Mentor and coach engineering teams, raise architectural and operational standards, and help select and develop future technical leaders.

  • Collaborate with product, customer engineering, and support teams to ensure reliability, performance, and great user experience for customerfacing services.

  • Contribute to selection of technologies and frameworks,participatein design reviews, and guide crossorganization implementation choices.

  • This opportunity is open to those who candemonstratesystemlevel thinking and advanced AI-Firstcoding.

Requirements:

  • Proficient with AI-Firstspec driven rapidinnovation convertingideas to working prototypesusing the AI coding tools.

  • Typically,15+years of experience in engineering and architectural leadership,designing, building, andoperatinglarge distributed systems and cloud platform services.

  • Bachelor's, Master's, or PhD in computer science, engineering, information systems, or a related quantitative discipline preferred.

  • Strong foundations in largescale data engineering (OLAP, distributed storage systems, open data formats) and experience with federated datasets.

  • Experience designing andoptimizingdistributed query engines and lowlatency analytics systems.

  • Deep knowledge of cloudnative architecture and microservices at scale across public cloud environments (AWS/GCP/Azure) and hybrid scenarios.

  • Handson coding experience in system design and architecture phases; comfort using modern development and AIassisted tools.

  • Proven ability to create and communicate technical roadmaps and to influence crossfunctional and executive stakeholders.

  • Experience with Spark, Kafka, Parquet,Go, Java

  • Large analytics engines or managed analytics services (BigQueryor equivalent)

  • Demonstrated experienceoperatingat senior technical leadership levels (Principal, Distinguished Engineer, or equivalent), with a history of crossorganization technical impact.

  • Strategic thinker who can translate longterm vision into executable technical roadmaps.

  • Strong communicator able to present complex technical concepts to executive and nontechnical audiences.

  • Comfortable taking broad ownership and driving projects that touch multiple teams and business units.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#executive, #greenlakecloudplatform, #hybridcloud

Job:

Engineering

Job Level:

TCP_07The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 194,000 - 388,000 in Massachusetts // 194,000 - 412,500 in California // 170,000 - 412,500 in North Carolina & Texas
The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

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