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Entry Level R&D Engineering Jobs in Selma, CA (NOW HIRING)

Go Behavioral

Be Seen First

Now Hiring: BCBA (Board Certified Behavior Analyst) - Fresno, CA

Fresno, CA · On-site

$85K - $120K/yr

... ABLLS-R, PEAK, etc.) to evaluate developmental needs and behavior functions • Design and ... Deena Moustafa, Ph.D., BCBA, who built Go Behavioral in 2018 to ensure "each child's unique ...

Verdantas

Staff Scientist I

Fresno, CA · On-site +1

$50K - $60K/yr

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... This is an entry-level stormwater professional role and is a great fit for someone who is eager to ...

All JobsR&D Engineering JobsEntry Level R&D Engineering JobsEntry Level R&D Engineering Jobs in Selma, CA

Entry Level R D Engineering information

See Selma, CA salary details

$28.1K

$64.9K

$110.4K

How much do entry level r&d engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level r&d engineering in Selma, CA is $64,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $73,400.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level R&D Engineering vs Mechanical Design Engineer?

AspectEntry Level R&D EngineeringMechanical Design Engineer
Required CredentialsBachelor's in Engineering or related fieldBachelor's in Mechanical Engineering or similar
Work EnvironmentResearch labs, product development teamsDesign offices, manufacturing settings
Industry UsageResearch and development departments across industriesProduct design and manufacturing companies
Common Search IntentEntry level R&D roles, research-focused positionsDesign-focused engineering roles

Entry Level R&D Engineering and Mechanical Design Engineer roles often require similar educational backgrounds, but differ in focus. Entry Level R&D Engineers typically work on developing new products or technologies in research labs, while Mechanical Design Engineers focus on creating detailed product designs for manufacturing. Both roles are common in engineering industries, but their daily tasks and environments vary.

What is an Entry Level R&D Engineer?

An Entry Level R&D (Research and Development) Engineer is a recent graduate or early-career professional who works on designing, developing, and testing new products, technologies, or processes. They collaborate with senior engineers and scientists to conduct experiments, analyze data, and contribute to innovative solutions. Their responsibilities typically include assisting with prototype development, documentation, and running tests to ensure product quality and functionality. This role helps bridge theoretical engineering knowledge with practical application in a real-world setting.

What types of projects and responsibilities can I expect as an entry-level R&D engineer?

As an entry-level R&D engineer, you'll typically work on a variety of tasks that support the development and improvement of new products or technologies. Your responsibilities may include conducting experiments, collecting and analyzing data, building prototypes, and assisting senior engineers with troubleshooting and documentation. You’ll often collaborate closely with cross-functional teams such as design, manufacturing, and quality assurance to ensure project goals are met. Entry-level roles provide valuable exposure to the full product development cycle and offer plenty of opportunities to learn from experienced colleagues.

What are the key skills and qualifications needed to thrive as an Entry Level R&D Engineer, and why are they important?

To thrive as an Entry Level R&D Engineer, you need a solid background in engineering principles, problem-solving, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with CAD software, lab equipment, data acquisition systems, and sometimes certifications in project management or Six Sigma are valuable. Strong communication, creativity, and teamwork skills help you collaborate effectively and contribute innovative solutions. These abilities are crucial for driving product development, ensuring technical accuracy, and supporting continuous improvement in research environments.
What cities near Selma, CA are hiring for Entry Level R&D Engineering jobs? Cities near Selma, CA with the most Entry Level R&D Engineering job openings:
Entry Level R D Engineering jobs near you

Data Scientist-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Fresno, CA • On-site

$74K/yr

Other

Posted 4 days ago

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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