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Entry Level Scientific Computing Jobs (NOW HIRING)

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

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Entry Level Scientific Computing information

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How much do entry level scientific computing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for entry level scientific computing in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals in scientific computing, and how can they be overcome?

Entry-level professionals in scientific computing often encounter challenges such as adapting to complex codebases, learning new programming languages or tools, and understanding interdisciplinary project requirements. Collaborating closely with senior team members, actively seeking feedback, and dedicating time to continuous learning can help overcome these hurdles. Additionally, participating in code reviews and leveraging online resources or documentation can accelerate skill development and integration into the team.

What are the key skills and qualifications needed to thrive as an Entry Level Scientific Computing professional, and why are they important?

To thrive as an Entry Level Scientific Computing professional, you need a solid grounding in mathematics, programming (often Python, C++, or MATLAB), and scientific principles, typically supported by a degree in computer science, physics, engineering, or a related field. Familiarity with scientific computing libraries (such as NumPy, SciPy), version control systems (like Git), and computational frameworks is commonly required. Strong problem-solving skills, attention to detail, and effective communication help individuals excel when collaborating with multidisciplinary teams. These skills ensure accurate data analysis, reproducible research, and efficient solutions to complex scientific problems.

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

AspectEntry Level Scientific ComputingData Analyst
Required CredentialsBachelor's in Science, Engineering, or related field; basic programming skillsBachelor's in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, finance, healthcare sectors, often office-based
Employer & Industry UsageResearch projects, scientific simulations, modelingData interpretation, reporting, business insights

Entry Level Scientific Computing roles focus on applying programming and scientific methods to research and modeling tasks, often within research or tech environments. Data Analysts primarily interpret data to inform business decisions, working across various industries. While both roles require analytical skills and some programming knowledge, their focus and work settings differ significantly.

What are entry level scientific computing jobs?

Entry level scientific computing jobs are positions for individuals who are beginning their careers in applying computational techniques to solve scientific problems. These roles often involve programming, data analysis, simulation, and modeling in fields like biology, physics, chemistry, or engineering. Typical responsibilities may include writing code to process data, running simulations, supporting research teams, and maintaining computational tools or software. Candidates usually have a background in science, mathematics, engineering, or computer science and are expected to have foundational knowledge of programming languages such as Python, R, or MATLAB. These positions are excellent starting points for gaining experience in computational research and development.
More about Entry Level Scientific Computing jobs
What cities are hiring for Entry Level Scientific Computing jobs? Cities with the most Entry Level Scientific Computing job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Entry Level Scientific Computing jobs? States with the most job openings for Entry Level Scientific Computing jobs include:
Infographic showing various Entry Level Scientific Computing job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Entry Level Data Engineer

Entry Level Data Engineer

Cox Automotive

Riverdale, GA

$67K - $100K/yr

Full-time

PTO

Posted 9 days ago


Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

89th of 138 rated financial services


Job description

Enterprise Platforms - Data & Analytics, Data Engineer I
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
Responsibilities
  • Collaborate with data architects, data analysts, visualization developers, other data engineers, and business stakeholders to build and maintain data assets in a cloud-computing environment
  • Learn and apply techniques to improve data dependability and quality, and reduce manual effort through automation
  • Help investigate, communicate, and resolve data integrity issues that may impact business performance
  • Assist in developing and maintaining data assets by analyzing data from internal and external sources and making newly created data assets available across Cox Automotive
  • Participate in team activities within an Agile environment, including design discussions, code reviews, implementation, delivery estimates, and production support
  • Ensure data follows all information privacy and protection policies
  • Use AI-powered coding assistants such as GitHub Copilot and Claude Code daily to accelerate development, improve code quality, and streamline peer review workflows
  • Apply spec-driven development practices, using AI tools to translate specifications into well-structured, testable code
  • Gain exposure to cloud-native AI Services (e.g., Snowflake Cortex, AWS Bedrock/AgentCore) and contribute to efforts that enhance data pipelines and enable intelligent data processing
  • Follow responsible AI practices within the team, including prompt engineering, AI output validation, and governance of AI-generated code

Required Skills and Qualifications
  • Bachelor's degree in computer science, information systems, statistics, or a related analytical field
  • Up to one year of professional, contract, or internship experience in data engineering (new graduates welcome)
  • Solid SQL skills with an understanding of relational database concepts and the ability to write and troubleshoot queries
  • Foundational Python programming skills, whether gained through coursework, personal projects, or early professional experience
  • Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) for code generation, completion, or review in any setting-full-time role, internship, or college coursework
  • Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus
  • General awareness of data platform and data warehouse concepts
  • Strong critical thinking, analytical, and problem-solving skills
  • Eagerness to learn from and be mentored by a collaborative, experienced engineering team
  • Ability to work both independently and as part of a team in a fast-paced environment

Preferred Skills and Qualifications
  • Exposure to or interest in spec-driven development workflows where AI tools are used to translate requirements into code
  • Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly detection
  • Awareness of AWS Bedrock, AWS AgentCore, or other cloud-based AI services
  • Entry-level cloud or data certifications such as AWS Cloud Practitioner, Snowflake SnowPro Core, or equivalent
  • Any AI-related certifications from Snowflake, AWS, or other recognized providers
  • Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
  • Experience working in or familiarity with Agile/Scrum methodologies

USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US