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Entry Level Data Jobs in Red Oak, TX (NOW HIRING)

Varsity Brands

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

Varsitybrands

Data Engineer I

Farmers Branch, TX

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

POW Marketing

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Immediate Hire - Entry Level Sales Account Associate - Dallas

Dallas, TX · On-site

$800 - $1.2K/wk (+ commission)

Immediate Hire - Entry Level Sales Account Associate (Start This Week) Dallas, TX $800-$1,200+/week ... That means leading with strategy, backing it with data, and delivering with bold, standout ...

POW Marketing

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Entry Level Sales Representative

Dallas, TX · On-site

$800 - $1.2K/wk (+ commission)

Entry Level Sales (Start This Week) Dallas, TX $800-$1,200+/week (Base + Uncapped Bonuses ... That means leading with strategy, backing it with data, and delivering with bold, standout ...

POW Marketing

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Entry Level Sales Representative

Dallas, TX · On-site

$800 - $1.2K/wk (+ commission)

Entry Level Sales (Start This Week) Dallas, TX $800-$1,200+/week (Base + Uncapped Bonuses ... That means leading with strategy, backing it with data, and delivering with bold, standout ...

Fisher Organization

Entry-Level Remote Sales

Dallas, TX · On-site

Join a Purpose-Driven Team Making a Real Impact - Entry-Level Leadership Career Opportunity About ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

Fisher Organization

Entry-Level Remote Sales

Dallas, TX · Remote

Join a Purpose-Driven Team Making a Real Impact - Entry-Level Leadership Career Opportunity About ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

Plutus Health

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination. * Relevant ...

Accenture

Data Protection, A/SA-Evergreen

Irving, TX · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection, A/SA-Evergreen

Dallas, TX · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Pwc

AI & GenAI Data Scientist - Manager

Fort Worth, TX

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Dallas, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

IBM

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... You'll contribute to data gathering, storage, and both batch and real-time processing.

POW Marketing

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Entry-Level Sales Account Associate - Weekly Pay - Dallas

Dallas, TX · On-site

$800 - $1.2K/wk (+ commission)

Entry-Level Sales Account Associate - Immediate Openings POW Marketing | Dallas, TX Full-Time | ... That means leading with strategy, backing it with data, and delivering with bold, standout ...

Plutus Health

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

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All JobsData JobsEntry Level Data JobsEntry Level Data Jobs in Red Oak, TX

Entry Level Data information

See Red Oak, TX salary details

$10

$19

$28

How much do entry level data jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level data in Red Oak, TX is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.63 per hour, depending on experience, location, and employer.

What is an entry level data job?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What are the key skills and qualifications needed to thrive as an entry level data analyst?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.

What types of projects or tasks are typically assigned to entry level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

What is the difference between Entry Level Data vs Data Analyst?

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What cities near Red Oak, TX are hiring for Entry Level Data jobs?

Cities near Red Oak, TX with the most Entry Level Data job openings:

Entry Level Data jobs near you
Infographic showing various Entry Level Data job openings in Red Oak, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,104 per year, or $19.3 per hour.

Data Engineer I

Varsity Brands

Farmers Branch, TX • On-site

$110K - $132K/yr

Full-time

Medical, Life, Retirement

Re-posted yesterday

Varsity Brands rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 62 rated fashion and textile manufacturers

Job description

JOIN THE BEST TEAM IN SPORT & SPIRIT
At Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions - BSN SPORTS and Varsity Spirit - and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.
LOCATION: 14460 Varsity Brands Way Farmers Branch, Tx - Varsity Brands HQ
WORK TYPE: Onsite
HOW YOU WILL MAKE AN IMPACT:
Varsity Brands is building a modern enterprise data platform that powers analytics, reporting, artificial intelligence, and data-driven decision-making across the organization. The platform brings together data from enterprise applications, digital products, manufacturing, supply chain, and customer systems into trusted, scalable, and governed data products and platform capabilities that enable analytics, operational intelligence, and AI.
The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering knowledge and exercises independent judgment in executing assigned work, including selecting appropriate approaches within established engineering standards to develop, test, and maintain data pipelines, transformations, and data products.
This role is designed to develop the next generation of data engineers who will help build the trusted data foundation supporting Varsity Brands' analytics, operational intelligence, and AI strategy.
Impact of the Role
  • Contributes to delivery of trusted data pipelines and data products supporting analytics, reporting, and AI initiatives
  • Builds foundational engineering capabilities supporting a scalable, cloud-based enterprise data platform
  • Improves data accessibility, consistency, and quality across enterprise systems
  • Supports the organization's transition from fragmented data sources to governed, reusable enterprise data assets

WHAT YOU WILL DO:
  • Develop, test, and maintain data pipelines, transformations, and data integration processes using established engineering standards
  • Assist in building and maintaining data products that support analytics, reporting, and AI use cases
  • Write, optimize, and troubleshoot SQL queries and data transformations
  • Participate in code reviews and incorporate feedback to improve quality, maintainability, and performance
  • Troubleshoot lower-complexity data pipeline and data quality issues, exercising sound judgment to identify appropriate solutions and escalating when necessary
  • Collaborate with Data Engineering, Analytics Engineering, Business Intelligence, Enterprise Architecture, Application Engineering, and business stakeholders to deliver reliable data solutions
  • Follow established engineering practices for testing, version control, CI/CD, security, and documentation
  • Contribute to data quality, observability, and monitoring activities to improve platform reliability
  • Document data pipelines, transformation logic, metadata, and engineering processes to support knowledge sharing and operational continuity
  • Develop working knowledge of enterprise data architecture, cloud data platforms, orchestration frameworks, and engineering patterns to support future growth into independent ownership

Key Performance Indicators
Success in this role will be measured through:
  • Quality and reliability of delivered data pipelines and transformations
  • Timely completion of assigned engineering work
  • Accuracy and quality of data supporting downstream consumers
  • Ability to troubleshoot and resolve issues with increasing independence
  • Consistent adoption of engineering standards, documentation, and development practices
  • Demonstrated growth in technical capability and understanding of the enterprise data platform

QUALIFICATIONS:
Knowledge, Skills, Abilities
The ideal candidate will demonstrate the following capabilities:
Technical Knowledge
  • Foundational understanding of data engineering principles and modern data platforms
  • Basic Understanding of relational databases, data modeling, and data integration concepts
  • Familiarity with cloud-based data platforms and modern data engineering environments
  • Basic understanding of data governance, data quality, and metadata concepts

Technical Skills
  • Ability to develop and test SQL queries and data transformations
  • Foundational programming skills using Python or a comparable language
  • Familiarity with modern data engineering tools and technologies, including:
    • Modern cloud data platforms (Snowflake preferred)
    • SQL
    • Python for data engineering and automation
    • Git-based version control
    • ETL/ELT concepts
  • Basic understanding of CI/CD and automated testing concepts

Cognitive & Problem-Solving Abilities
  • Applies logical reasoning to solve defined technical problems
  • Exercises independent judgment in selecting approaches within established engineering guidelines
  • Identifies data quality and pipeline issues and escalates appropriately when needed
  • Demonstrates attention to detail and commitment to producing accurate, reliable data

Collaboration & Communication
  • Communicates effectively within cross-functional team environments
  • Collaborates with engineers, analysts, architects, and business stakeholders
  • Actively participates in team discussions and engineering ceremonies
  • Incorporates coaching and feedback to improve technical capability

Learning Agility
  • Demonstrates curiosity and willingness to learn emerging data technologies and engineering practices
  • Adapts to evolving cloud platforms, tools, and business priorities
  • Builds understanding of enterprise data architecture and modern data engineering patterns

Continuous Improvement
  • Identifies opportunities to automate, simplify, and improve engineering processes
  • Seeks opportunities to reduce technical debt and improve operational excellence

Education, Certification and Experience
Ideal candidates will bring the following experience and capabilities:
Required
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related technical discipline; or equivalent combination of education and experience
  • 0 - 2 years of relevant experience, including internships, academic projects, or early career experience in data engineering, software engineering, analytics engineering, or related technical disciplines
  • Foundational knowledge of SQL and relational databases

Preferred
  • Exposure to cloud data platforms such as Snowflake
  • Exposure to Python, dbt, or comparable data transformation tools
  • Familiarity with Git, CI/CD, and Agile software development practices
  • Experience working with modern data visualization or analytics platforms through coursework, internships, or projects

Physical Demands and/or Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
#LI_JF
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.
OUR VALUES
Service - We lead with heart. We champion community.
Passion - We love what we do. It fuels our purpose.
Integrity - We do what we promise. We own our actions and decisions.
Respect - We earn it by giving it. Because everyone deserves it.
Innovation - We never stop striving to be better. For ourselves and our community.
Transparency - We are committed to openness and honesty in everything we do.
OUR BENEFITS
We are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include:
  • Comprehensive Health Care Benefits
  • HSA Employer Contribution/ FSA Opportunities
  • Wellbeing Program
  • 401(k) plan with company matching
  • Company paid Life, AD&D, and Short-Term Disability
  • Generous My Time Off & Paid Holidays
  • Varsity Brands Ownership Program
  • Employee Resource Groups
  • Access to Financial Coaching and member-owned Credit Union
  • St. Jude Partnership & Volunteer Opportunities
  • Employee Perks including discounts on personal apparel and equipment!

Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran's status, age or disability.

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