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Entry Level Data Engineering Jobs in Round Rock, TX

Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

... Career Level Entry Level Job Summary: As a paid engineering intern, you will gain valuable ... Candidates may also support other office activities (e.g., preparing spreadsheets, reviewing data ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Showing results 21-40

Entry Level Data Engineering information

See Round Rock, TX salary details

$10

$18

$29

How much do entry level data engineering jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for entry level data engineering in Round Rock, TX is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.38 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

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

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Round Rock, TX?

The most popular types of Data Engineering jobs in Round Rock, TX are:

What are popular job titles related to Entry Level Data Engineering jobs in Round Rock, TX?

For Entry Level Data Engineering jobs in Round Rock, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Round Rock, TX look for?

The top searched job categories for Entry Level Data Engineering jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Entry Level Data Engineering jobs?

Cities near Round Rock, TX with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Round Rock, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $39,258 per year, or $18.9 per hour.

GenAI Python Systems Engineer - Senior Associate

Austin, TX


Pwc
Finance and Insurance • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students


$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - 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 Data and Analytics Engineering practice, you will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation.
As a Senior Associate, you will 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 solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.
Responsibilities
- Designing and optimizing algorithms and models to enhance intelligent decision-making and automation
- Developing and implementing advanced AI and machine learning solutions to drive innovation in business processes
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Leveraging advanced technologies and techniques to design robust data solutions for clients
- Utilizing Python and machine learning libraries to build scalable AI systems
- Conducting complex data analysis to identify trends and inform strategic recommendations
- Collaborating with cross-functional teams to address data challenges and improve data quality
- Building meaningful client connections and managing stakeholder expectations effectively
- Navigating complex situations to deliver quality solutions and grow personal skills
- Upholding professional and technical standards in alignment with firm guidelines and independence requirements
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, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Utilizing Python programming for AI-driven automation solutions
- Implementing machine learning libraries and NLP techniques
- Analyzing complex data to generate actionable insights
- Navigating ambiguity while maintaining client-focused solutions
- Developing meaningful client relationships through effective communication

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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. 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-glanceAs PwC is anequal 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-workFor 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK


What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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