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Open Data Jobs in Dallas, TX (NOW HIRING)

Utilizing SAP Advanced Business Application Programming (ABAP) and Open Data Protocol (OData) to drive software development and implementation services of SAP S/4HANA, S/4 HANA Cloud, Enterprise ...

New

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 ...

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 ...

Applicants for this posting will be considered for Data Scientist openings in: * Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm ...

JD: * 7+ yrs of experience as data scientist or related roles ... Deep understanding and some exposure to new Gen AI open-source models. * Atleast 5 years of ...

Data Architect

Frisco, TX · On-site

$120 - $160/hr

AWS open search or GCP Vertex AI, neo4j etc. Mongo, Dynamo, CosmosDB etc.) * Expertise in designing, loading, and querying NoSQL. * Extensive experience in processing and leveraging unstructured data ...

Data Architect

Plano, TX · On-site

$60 - $65/hr

... opening that may interest you. Please find the summary of the position. If you are interested in ... Data Architect Location: Plano, TX or Houston, TX (Plano is preference) 5 days onsite (Only local ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA - Additional locations Frisco/Atlanta/Overland Park* Work schedule details: onsite Key Responsibilities:

Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms Experience with Business Objects-Crystal Reports or Ab Initio for reporting Experience with Tableau ...

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Showing results 1-20

Open Data information

See Dallas, TX salary details

$45.5K

$163.2K

$240.9K

How much do open data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for open data in Dallas, TX is $163,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 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 Dallas, TX?

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

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

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

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

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

Infographic showing various Open Data job openings in Dallas, 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 $163,241 per year, or $78.5 per hour.

POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 2 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 891 rated healthcare providers


Job description

Description
POSTDOCTORAL RESEARCHER - We invite applications for a Postdoctoral Researcher position focused on applying LLMs and GeoAI in geospatial health data analysis. This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial health datasets on different topics (e.g., HIV, cardiology, and cancer) from various data sources (e.g., longitudinal health surveys, Electronic Health Record, open data). The successful candidate will also help develop an LLM-based spatial analysis tool, promote its use by public health researchers and practitioners, and assess the tool's acceptability and feasibility.
Description of Duties and Responsibilities:
• Train and fine-turning LLMs and GeoAI models for geospatial health data analysis.
• Develop an LLM-based spatial analysis tool and assess its acceptability and feasibility.
• Collaborate with experts in epidemiology, health data science, and computer science.
• Prepare manuscripts for peer-reviewed journals.
• Present research at academic conferences.
• Assist and develop new grant proposals on related topics for submission to funding agencies.
• Mentor graduate students in the research team.
Term: One year with potential extension based on performance and funding availability
Visa sponorship: J-1 if needed
Qualifications
Required Qualifications:
• A Ph.D. in Computer Science, Health Informatics, Geospatial Data Science, Statistics, or a related field.
• Strong background in (geospatial) AI and generative AI/LLM.
• Strong R or Python programming skills.
• Proven ability to publish in high-impact academic journals.
• Strong written and oral communication skills.
Desired Qualifications
• Experience with GeoAI applications in Street View Images and Remote Sensing
• Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization
• Knowledge of spatial epidemiology
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references.

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