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Data Associate Jobs in Texas (NOW HIRING)

Oak St. Health

Associate Data Engineer

Richardson, TX · On-site

Associate Data Engineer We're building a world of health around every individual -- shaping a more connected, convenient and compassionate health experience. At CVS Health ® , you'll be surrounded ...

New

PNC Bank

Data Engineer Assoc

Dallas, TX · On-site +1

$91K - $202K/yr

As an Data Engineer Associate for PNC's Security Analytics Hub, you will have the opportunity to work fully remote. Our team focuses on producing data driven insights into multiple areas of risk ...

PNC Financial Services Group

Data Engineer Assoc

Dallas, TX · On-site +1

$91K - $202K/yr

As an Data Engineer Associate for PNC's Security Analytics Hub, you will have the opportunity to work fully remote. Our team focuses on producing data driven insights into multiple areas of risk ...

New

PNC Bank

Data Engineer Assoc

Farmers Branch, TX · On-site +1

$91K - $202K/yr

As an Data Engineer Associate for PNC's Security Analytics Hub, you will have the opportunity to work fully remote. Our team focuses on producing data driven insights into multiple areas of risk ...

UST Inc

Associate Data Engineer

Frisco, TX

$50 - $60/hr

Role description Associate Data Engineer Developer I - Software Engineering Who We Are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners ...

Merican

Associate Data Architect I

Frisco, TX · On-site

$59.75 - $76.75/hr

Associate Data Architect I Location: Frisco, TX Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid * We are seeking a Senior Data Analyst to support a critical finance transformation ...

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Data Associate information

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$52

How much do data associate jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data associate in Texas is $30.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $36.49 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a Data Associate, and why are they important?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Texas? The most popular types of Data jobs in Texas are:
What are popular job titles related to Data Associate jobs in Texas? For Data Associate jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Texas look for? The top searched job categories for Data Associate jobs in Texas are:
What cities in Texas are hiring for Data Associate jobs? Cities in Texas with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,093 per year, or $30.8 per hour.
Associate Data Engineer 2026 - Data Services

Associate Data Engineer 2026 - Data Services

IBM

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

97th of 186 rated software companies

Job description

Job Summary:
IBM is a leading technology company that focuses on hybrid cloud and AI solutions. As an Associate Data Engineer, you will develop foundational skills in data analytics and data engineering while collaborating with clients to optimize their business processes and implement scalable data architectures.
Responsibilities:
• Works with clients to advocate business process transformation, analyzes the application portfolio across ecosystem to understand the process optimization and automation opportunity and proposes end-to-end process transformation journey, including reimagined process/workflow models, improving business value and outcomes that meet the client objectives, with agility and flexibility.
• Prioritizes and translates Client requirements and defines current and future operational scenarios (processes, models, use cases, plans and solutions) and works with Client business and the Architect to ensure proper translation of business requirements to solution requirements.
• Assist in designing and implementing scalable data architecture and management systems tailored for modern cloud environments.
• Work on optimizing existing data pipelines and processes for improved performance.
• Work with ETL/ELT ingestion pipelines
• Collect and analyze data to identify trends, providing clients with actionable insights to enhance marketing, operational, and business practices.
• Participate in troubleshooting data-related issues, working to solve challenges and data inconsistencies.
• Create visually compelling and user-friendly data visualizations, dashboards, and reports to effectively communicate findings to both technical and non-technical stakeholders.
• Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures.
• Work with project team to prioritize and translate Client requirements and define current and future operational scenarios (processes, models, use cases, plans and solutions). Work collaboratively with Client and the Architect to ensure proper translation of business requirements to solution requirements.
• Present analytical findings and recommendations clearly and concisely, demonstrating the value of data-driven decision-making to clients.
• Work with cross-functional teams to tackle complex business problems, utilizing your data expertise to drive innovative solutions.
• Stay informed about the latest trends and advancements in the modern data stack, bringing new ideas and best practices to the team.
Qualifications:
Required:
• Experience: ETL/ELT projects, data warehouse design, analytics pipelines, capstone data engineering
• Skills/Tech: SQL, Python, dbt, Snowflake, BigQuery, Airflow, data modeling, CI/CD basics
• Skills include a range of package workflow tool experience including on one of the following IBM BAW, Lombardi, iLog, Appian, Pega etc.
• Data Engineer skills- pipeline design, infrastructure, vector databases, deployment, and scalability.
• Other: strong analytical mindset, data governance, or data quality exposure
• Willingness to travel up to 100%, based on project requirements
Preferred:
• Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Engineering).
• Minimum of 1 year of practical project experience or relevant training.
• Certifications: SnowPro Core, Google Associate Cloud Engineer or Data Engineer coursework
• General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of generative models.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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