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Data Engineer I Jobs in Dallas, TX (NOW HIRING)

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 ...

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 ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer I Job Summary Come work with our technology team, which is the backbone of our omnichannel insurtech company innovating insurance and we believe why not have fun while doing it. Come ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer I Job Summary Come work with our technology team, which is the backbone of our omnichannel insurtech company innovating insurance and we believe why not have fun while doing it. Come ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities * Develop and ...

The Contact Center Data Engineer I plays a critical role in improving contact center performance by turning operational, customer, and system data into reliable insights, reporting, and automation ...

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Duration: 8+ months Location: Dallas,TX (Hybrid) Skill set: Java, Hyve, Hbase, API ... Need a solution that can scale to handle millions of data. i.e., masking 10 million records in 15 ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Job Titile: Data Engineer Work Location; Irving, Texas Duration: 8+ Months Specific Skills ... Experience or knowledge of stream-processing systems: i.e., Storm, Spark-Structured-Streaming ...

Site Engineer I Your role The Site Engineer I position is a contributing member to the site level Data Center Operations team assigned to one or more of our data center properties reporting directly ...

Site Engineer I Your role The Site Engineer I position is a contributing member to the site level Data Center Operations team assigned to one or more of our data center properties reporting directly ...

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Showing results 1-20

Data Engineer I information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do data engineer i jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer i in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer I vs Data Engineer II?

AspectData Engineer IData Engineer II
Required Experience0-2 years2-4 years
SkillsBasic data pipeline development, SQL, ETLAdvanced data modeling, performance optimization
CertificationsRelevant certifications (e.g., Google Cloud, AWS)Same as Data Engineer I, often with additional specialization
Work EnvironmentEntry-level projects, supervised tasksMore independent, complex projects

The main difference between Data Engineer I and Data Engineer II lies in experience and project complexity. Data Engineer I typically handles basic data tasks with limited experience, while Data Engineer II manages more complex projects with greater independence. Both roles often require similar certifications and work in similar environments, but the level of responsibility increases with experience.

What cities near Dallas, TX are hiring for Data Engineer I jobs? Cities near Dallas, TX with the most Data Engineer I job openings:
Infographic showing various Data Engineer I job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,727 per year, or $57.6 per hour.

Data Engineer I

Varsity Brands

Farmers Branch, TX • On-site

$110K - $132K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago


Varsity Brands rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 61 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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