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Open Data Jobs in Texas (NOW HIRING)

Cymertek

Data Analyst

San Antonio, TX · On-site

Data Analyst 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 ...

Cymertek Corporation

Data Analyst

San Antonio, TX

Please note that our job openings are dynamic and can open or close quickly (much faster than we ... SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

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 ...

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 ...

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$130 - $180/hr

Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog‑based access. * Familiarity with data cataloging, governance ...

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access. * Familiarity with data cataloging, governance, lineage ...

Guidehouse

Data Scientist

Houston, TX · On-site

Supporting a fusion cell by integrating and analyzing data sets (FinCEN, Open Source, ArcGIS, etc.) * Collecting, cleaning, transforming, and analyzing large datasets using tools such as Python, R ...

Guidehouse

Data Scientist

Houston, TX · On-site

Supporting a fusion cell by integrating and analyzing data sets (FinCEN, Open Source, ArcGIS, etc.) * Collecting, cleaning, transforming, and analyzing large datasets using tools such as Python, R ...

Jobcertify

Data Analyst

El Paso, TX

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Jobcertify

Data Analyst

Austin, TX

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Highbrow LLC

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 ...

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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.

Data Scientist

Careers | Office of Inspector General

Frisco, TX • On-site

$74K/yr

Other

Posted 10 days ago

Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Assisting with the application of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line)
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:
  • Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line).
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line.
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.Employment Type: OTHER

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