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Data Mining Jobs in Texas (NOW HIRING)

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Big Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... mining algorithms Contribute to our team's growing set of development platforms, tools, and processes Qualifications Experience with enterprise level data architecture Prior experience in Hadoop ...

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Data Analyst IV

Austin, TX · On-site

$61 - $99/hr

Data models, database design development, data mining, and segmentation techniques. Skill in: Using computers and applicable software. Conducting data searches and evaluating and translating large ...

New

Big Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... mining algorithms Contribute to our team's growing set of development platforms, tools, and processes Qualifications Experience with enterprise level data architecture Prior experience in Hadoop ...

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies Assist in data modelling and analysis to determine key customer insights, drive business ...

... data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Showing results 41-60

Data Mining information

See Texas salary details

$47.5K

$65.2K

$82.9K

How much do data mining jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data mining in Texas is $65,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,200.00 per year, depending on experience, location, and employer.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in data mining, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

What are the most commonly searched types of Data Mining jobs in Texas?

The most popular types of Data Mining jobs in Texas are:

What cities in Texas are hiring for Data Mining jobs?

Cities in Texas with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,215 per year, or $31.4 per hour.

Data Analyst

Winaxis

Dallas, TX • On-site

Full-time

Re-posted 21 days ago


Job description

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor’s degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. High-level written and verbal communication skills.