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Data Engineer Entry Level Jobs in Dallas, TX (NOW HIRING)

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Data Engineer Entry Level information

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$44K

$128.4K

$175.7K

How much do data engineer entry level jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer entry level in Dallas, TX is $128,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Dallas, TX?

The most popular types of Data Engineer jobs in Dallas, TX are:

What job categories do people searching Data Engineer Entry Level jobs in Dallas, TX look for?

The top searched job categories for Data Engineer Entry Level jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Engineer Entry Level jobs?

Cities near Dallas, TX with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Dallas, TX as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $128,374 per year, or $61.7 per hour.

Tax Innovation - Data Governance- Senior Associate

PwC South Africa

Dallas, TX โ€ข On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Industry/Sector Not Applicable Specialism Data Engineering Management Level Senior Associate Job Description & Summary The Opportunity

As a Tax Innovation - Data Governance Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations. In this role at PwC, you will be at the forefront of data engineering, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will be integral to transforming data into insights that drive business growth and enable informed decision-making.

Responsibilities
  • Designing and implementing data pipelines to facilitate efficient data processing and analysis
  • Developing data integration and transformation solutions to support client decision-making
  • Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data architecture development
  • Building and maintaining data infrastructure to support robust data solutions
  • Applying analytical thinking to transform raw data into actionable insights
  • Managing database security and data anonymization to uphold data integrity
  • Collaborating with teams to optimize data strategy and performance tuning
  • Leveraging Snowflake Data Warehouse and Snowflake Schema for advanced data modeling
  • Validating data quality and executing data validation processes to maintain accuracy
  • Navigating complex client situations to build meaningful relationships and deliver quality solutions
What You Must Have
  • At least a Bachelor's degree
  • At least 3 years of experience
What Sets You Apart
  • Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
  • Utilizing Azure Data Factory and Microsoft Azure Databricks
  • Developing data architecture and data integration strategies
  • Implementing data anonymization and database security best practices
  • Excelling in analytical thinking and problem-solving
  • Navigating complex data engineering platforms like Snowflake and Databricks
  • Demonstrating creativity and intellectual curiosity in data solutions

Travel Requirements Up to 20%

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave
  • and more

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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