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Entry Level Computer Scientist Jobs in Austin, TX

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics ...

Sales Development Representative, Tavily

Austin, TX · On-site

$71K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We expect you to have: * 1-2 years of Sales, SDR, Analytics or Computer Science experience in a SaaS or tech environment preferred (open to exceptional entry-level candidates). * You are in Austin ...

Showing results 21-40

Entry Level Computer Scientist information

See Austin, TX salary details

$50.1K

$110.4K

$136.3K

How much do entry level computer scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level computer scientist in Austin, TX is $110,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $135,800.00 per year, depending on experience, location, and employer.

What does an entry level computer scientist do?

An entry level computer scientist typically works on software development, coding, testing, debugging, and supporting computer systems and applications. They may work under the supervision of senior engineers, assisting in designing algorithms, solving technical problems, and maintaining documentation. Their tasks often involve collaborating with teams, learning new technologies, and applying foundational knowledge to real-world projects. This role provides an opportunity to grow technical skills and gain industry experience.

What is the difference between Entry Level Computer Scientist vs Entry Level Software Developer?

AspectEntry Level Computer ScientistEntry Level Software Developer
Required CredentialsBachelor's in Computer Science or related field; some roles may prefer internshipsBachelor's in Computer Science, Software Engineering, or related field; coding bootcamps helpful
Work EnvironmentResearch labs, academia, tech companies focusing on algorithms, data structures, and theoretical conceptsSoftware companies, startups, IT departments developing applications, websites, and software solutions
Employer & Industry UsageUniversities, research institutions, tech firms emphasizing research and developmentTech firms, software companies, consulting firms focusing on product development

Entry Level Computer Scientists typically focus on research, algorithms, and theoretical aspects of computing, often working in academia or research labs. In contrast, Entry Level Software Developers concentrate on coding, building applications, and deploying software solutions in industry settings. Both roles require a computer science background but differ in their primary focus and work environment.

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

To succeed as an Entry Level Computer Scientist, a solid background in computer science fundamentals, programming languages (such as Python or Java), and a relevant degree are essential. Familiarity with version control systems (like Git), development environments, and basic software engineering tools is typically required. Strong problem-solving abilities, teamwork, and effective communication help individuals excel in collaborative and technical settings. These skills ensure the ability to contribute to projects, adapt to new technologies, and work efficiently within dynamic development teams.

What types of projects do entry level computer scientists typically work on, and how do these projects support skill development?

Entry level computer scientists are often assigned to collaborative projects such as developing software features, debugging code, or assisting with data analysis tasks. These projects usually involve working under the guidance of senior engineers and require learning new programming languages, development tools, and methodologies. By tackling real-world problems and contributing to team goals, entry level professionals gain practical experience, build technical proficiency, and learn industry best practices, which are essential for career advancement.

What are the most commonly searched types of Computer Scientist jobs in Austin, TX?

The most popular types of Computer Scientist jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Computer Scientist jobs?

Cities near Austin, TX with the most Entry Level Computer Scientist job openings:

Infographic showing various Entry Level Computer Scientist job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $110,364 per year, or $53.1 per hour.

Entry level Data Engineer - New Grad

Four Hands

Austin, TX • Hybrid

$113K - $136K/yr

Full-time

Re-posted 20 days ago


Job description

Join one of the fastest growing, most dynamic companies in the furniture industry. For over 25 years, Four Hands has been a leading designer and wholesaler of furniture and décor, helping people create spaces that feel like home.

Recognized on the Inc. 5000 list of fastest-growing companies and named one of Austin's Top Workplaces year after year. We invest in exceptional people — with a team of over 800 and growing — fostering our employees' careers and celebrating them at every step of the way. Four Hands is where passion meets purpose and where your next chapter begins.

At Four Hands, technology and data are key drivers of how we serve our customers and grow our business. As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations, and automated workflows that power our eCommerce, inventory, fulfillment, analytics, and customer experience teams.

You'll work alongside experienced team members across Data, Application Development, Cloud, and IT Operations, gaining hands-on experience with the systems and technologies that move and transform data across the organization. From building ETL pipelines and working with enterprise data sources to improving data quality and supporting analytics, you'll contribute to real projects from the start.

We're building an automation- and data-first mindset across our technology organization and are looking for someone who is curious about how data moves, how systems connect, and how reliable data can help teams make better decisions. This is an opportunity to develop your technical skills, learn modern data engineering practices, and help build the data foundation that will support analytics, automation, and AI capabilities across Four Hands.

Authorization

  • Candidates must be legally authorized to work in the United States on a full-time basis now and in the future.
  • Visa sponsorship is not available for this role.

Location

  • This is a hybrid role based in Austin, TX, with an expectation of working in the office Monday, Tuesday, and Thursday each week.
  • Candidates must be located in or willing to relocate to the Austin area. Relocation assistance is not available for this position.

In This Role

  • Build, maintain, and support data pipelines and ETL/ELT processes that move and transform data across enterprise systems, databases, and cloud environments.
  • Write SQL queries to extract, transform, validate, and analyze data while developing an understanding of relational data models and schemas.
  • Use Python and other scripting languages to automate data processing, validation, and repetitive workflows.
  • Help integrate data from enterprise systems such as ERP, WMS, CRM, eCommerce, and other internal and third-party platforms.
  • Monitor data pipelines and troubleshoot issues related to data quality, failed jobs, missing records, or unexpected results.
  • Develop data validation and quality checks to help ensure information used for reporting, analytics, automation, and AI is accurate, complete, and consistent.
  • Work with APIs, JSON/XML, webhooks, and other integration methods to ingest and exchange data between systems.
  • Collaborate with analysts, engineers, and business teams to understand data requirements and translate them into reliable technical solutions.
  • Help document data sources, transformations, schemas, dependencies, and pipeline processes so our data environment remains understandable and maintainable.
  • Contribute to CI/CD pipelines, version control, testing, and deployment practices for data engineering workloads.
  • Gain hands-on experience with cloud data and integration technologies such as Azure Data Factory, Azure Functions, Logic Apps, Service Bus, and related Azure services.
  • Support the development of reliable data foundations that enable future analytics, machine learning, automation, and AI initiatives.
  • Other duties as assigned, in accordance with training and qualifications.
  • Uphold our core values and be a valuable member of the Four Hands team:
    • Be open and honest
    • Reach for excellence
    • Act with responsibility
    • Value the whole person
    • Enjoy the journey

The Ideal Person

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field, or equivalent experience.
  • Foundational programming skills, with Python strongly preferred.
  • Experience with SQL and relational databases through coursework, internships, personal projects, or professional experience.
  • Basic understanding of database concepts, including tables, schemas, joins, primary and foreign keys, and data relationships.
  • Exposure to ETL/ELT, data pipelines, data transformation, or data integration through coursework, internships, projects, or professional experience.
  • An interest in understanding how data moves between systems and how reliable data supports analytics and business decision-making.
  • Familiarity with version control tools such as Git and a willingness to learn CI/CD and modern data engineering practices.
  • Exposure to cloud platforms such as Azure, AWS, or GCP is a plus but not required.
  • Experience with tools such as Azure Data Factory, Databricks, Snowflake, dbt, Airflow, or similar data technologies is a plus but not required.
  • A problem-solver and self-starter who enjoys investigating data issues, learning how systems work, and finding ways to make processes more reliable and efficient.
  • Strong communication skills with the ability to collaborate with both technical and non-technical teammates.
  • Eagerness to learn and grow within data engineering while contributing to production systems and real-world business problems.
About Four Hands
Headquartered in Austin, Texas, since 1996, Four Hands crafts furniture, art and décor — pieces that are all about creating space. Timeless, thoughtful designs with endless possibilities. Pieces meant to be experienced and form a whole that feels like home.
Our trade customers range from interior designers to large retailers who rely on our expertise to grow and guide their business to success. We treat our partners as part of the Four Hands family, championing them and rooting for their every win.
And, we are constantly pursuing better — from sourcing the finest materials and finishes to seeking fresh inspiration to elevate our designs — we are never settled, never done.
Four Hands is an Equal Opportunity Employer. Four Hands recruits qualified applicants and advances in employment its employees without regard to race, color, religion, sex, gender, sexual orientation, gender identity, gender expression, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.
Visit www.FourHands.com for more information.