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Linux Entry Level Jobs in Sacramento, CA (NOW HIRING)

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Linux Entry Level information

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$10

$54

$82

How much do linux entry level jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for linux entry level in Sacramento, CA is $54.62, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.32 per hour, depending on experience, location, and employer.

What is a Linux entry level job?

A Linux Entry Level job is a position designed for individuals who are new to working with Linux systems. These roles typically involve tasks like system monitoring, basic troubleshooting, software installations, and user management. Candidates in these roles often assist more experienced administrators while gaining hands-on experience. Employers usually look for foundational knowledge of Linux, basic command-line skills, and an understanding of system administration concepts. Some positions may require familiarity with scripting or networking basics.

What are typical daily responsibilities for an entry-level Linux professional?

As an entry-level Linux professional, your daily tasks often include monitoring system performance, managing user accounts, installing and updating software packages, and troubleshooting basic system and network issues. You may also assist with server backups, help team members with technical support requests, and document standard operating procedures. Working closely with more experienced administrators is common, providing opportunities to learn and develop your skills on the job. These responsibilities help build your foundation in Linux administration and prepare you for more advanced roles in the future.

What are the key skills and qualifications needed to thrive in the Linux entry level position, and why are they important?

To thrive as a Linux Entry Level professional, you generally need a basic understanding of Linux operating systems, command line usage, file systems, and fundamental networking concepts, often supported by a degree or coursework in computer science or a related field. Familiarity with tools like Bash, SSH, basic shell scripting, and entry-level certifications such as CompTIA Linux+ or LPIC-1 can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help candidates excel in collaborative technical environments. These capabilities are crucial for troubleshooting system issues, supporting team-based projects, and ensuring system reliability and security.

Are Linux Entry Level jobs in demand?

Linux entry-level jobs are in steady demand due to the widespread use of Linux in servers, cloud computing, and cybersecurity. Employers seek candidates with basic Linux skills, familiarity with command-line tools, and certifications like CompTIA Linux+ or LPIC-1, making these roles accessible for new IT professionals.

Is IT hard to get a Linux Entry Level job?

Securing a Linux entry-level position typically requires foundational knowledge of Linux operating systems, command-line skills, and basic scripting. While competition exists, gaining relevant certifications like CompTIA Linux+ or Linux Professional Institute Certification can improve job prospects and demonstrate competence to employers.

Is entry level Linux still in demand?

Entry level Linux positions remain in demand as organizations increasingly rely on Linux-based servers, cloud infrastructure, and open-source solutions. Skills in Linux administration, scripting, and familiarity with tools like Bash or Docker can improve job prospects in this field.

Is it hard to get a Linux job?

Entry-level Linux jobs typically require foundational knowledge of Linux operating systems, command-line skills, and familiarity with tools like Bash or scripting languages. While competition exists, gaining certifications such as CompTIA Linux+ or Linux Professional Institute Certification can improve job prospects and demonstrate competence to employers.

What jobs can I get after learning Linux?

Entry-level Linux skills can lead to roles such as Linux System Administrator, DevOps Technician, or Technical Support Specialist. These jobs typically require knowledge of command-line tools, scripting, and system management, and may involve working with cloud platforms or automation tools.

What jobs can I get if I learn Entry Level Linux?

Entry-level Linux skills can qualify you for roles such as Linux system administrator, technical support specialist, or network technician. These jobs typically require knowledge of Linux operating systems, command-line tools, and basic scripting, often supported by certifications like CompTIA Linux+ or LPIC-1.

What are the most commonly searched types of Linux jobs in Sacramento, CA?

The most popular types of Linux jobs in Sacramento, CA are:

What are popular job titles related to Linux Entry Level jobs in Sacramento, CA?

For Linux Entry Level jobs in Sacramento, CA, the most frequently searched job titles are:

What job categories do people searching Linux Entry Level jobs in Sacramento, CA look for?

The top searched job categories for Linux Entry Level jobs in Sacramento, CA are:

What cities near Sacramento, CA are hiring for Linux Entry Level jobs?

Cities near Sacramento, CA with the most Linux Entry Level job openings:

Linux Entry Level jobs near you
Infographic showing various Linux Entry Level job openings in Sacramento, CA as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $113,600 per year, or $54.6 per hour.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA • On-site

$59K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 hours ago

Job description


JOB SUMMARY

The Biostatistics Scientist supports applied statistical analysis, quantitative genetics, and breeding analytics for vegetable crop research programs. This entry-level role contributes to genomic, phenotypic, and field-trial data analysis under the guidance of senior scientists, managers and cross-functional project teams. The position helps develop reliable, reproducible analytical workflows that improve trait evaluation, marker-assisted selection, genomic prediction, and data-driven breeding decisions.

Key Responsibilities

Statistical Analysis, Quantitative Genetics & Genomic Prediction

  • Support the development, testing, and interpretation of statistical and genomic prediction models for vegetable crop breeding programs.
  • Apply standard statistical and quantitative genetics methods, such as mixed models, heritability estimation, genetic correlations, and basic genomic prediction approaches.
  • Assist with evaluating model performance, prediction accuracy, and data quality across populations, environments, and breeding stages.
  • Contribute to analyses that help breeders understand trait variation, experimental results, and selection opportunities.
  • Document methods, assumptions, code, and results clearly to support reproducibility and team review.

Molecular Marker & Trait Analytics

  • Analyze molecular marker datasets, including SNP and haplotype data, to support trait mapping, marker validation, and breeding decisions.
  • Assist molecular and breeding teams with data summaries for marker development, marker deployment, and trait evaluation projects.
  • Support quality control of genotypic and phenotypic datasets, including data cleaning, formatting, consistency checks, and basic exploratory analysis.
  • Help prepare selection metrics, trait summaries, and visualizations that integrate multiple sources of breeding data.
  • Translate analytical results into concise summaries that can be reviewed by breeders, molecular scientists, and project teams.

Genomic, Phenotypic & Field Trial Data Analysis

  • Prepare, manage, and analyze genomic, phenotypic, greenhouse, and field-trial datasets under guidance from senior team members.
  • Develop and maintain reproducible scripts for data quality control, statistical analysis, visualization, and reporting.
  • Contribute to the improvement of analytical templates, reporting workflows, and shared data practices in collaboration with bioinformatics and data teams.

Project Support & Cross-Functional Collaboration

  • Support analytical components of breeding, trait development, molecular marker, and technology projects.
  • Collaborate with breeders, phenotyping, molecular biology, bioinformatics, and data teams to understand project objectives and data requirements.
  • Prepare clear technical summaries, tables, figures, and presentations to communicate results to internal stakeholders.
  • Learn and apply current methods in biostatistics, quantitative genetics, breeding analytics, and reproducible scientific computing.


Required Qualifications

Education

  • PhD in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field; industry experience a plus
    or
  • MS in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field with 0–2 years of relevant academic, internship; industry experience a plus


Experience & Technical Skills

  • Foundational training in statistics, biostatistics, quantitative genetics, plant breeding, computational biology, or related analytical disciplines.
  • Experience with statistical analysis of biological, genomic, phenotypic, field-trial, or experimental datasets through graduate research, internships, or applied projects.
  • Working knowledge of statistical programming in R, Python, SAS, or similar tools.
  • Good understanding of experimental design, mixed models, regression, data visualization, and reproducible analytical workflows.
  • Experience with molecular markers, genomic data, plant breeding concepts, or trait analysis is desirable.
  • Ability to learn new methods, manage multiple analytical tasks, and deliver accurate results with guidance.
  • Strong attention to detail, scientific curiosity, communication skills, and willingness to collaborate across disciplines.

Preferred Qualifications

  • Research experience in plant breeding, seed industry research, agricultural biotechnology, or applied life-science data analysis.
  • Experience in genomic prediction, QTL mapping, GWAS, marker-assisted selection, or trait discovery workflows.
  • Familiarity with breeding databases, phenotyping systems, laboratory information systems, or integrated data platforms.
  • Experience preparing figures, tables, dashboards, or technical reports for scientific or cross-functional audiences.
  • Exposure to cloud-based, Linux, Git, or high-performance computing environments for data analysis.
  • Interest in applying AI, machine learning, and modern statistical methods to practical breeding and research questions.

Competencies & Behaviors

  • Demonstrates curiosity, initiative, and accountability in learning new analytical methods and scientific workflows.
  • Applies statistical methods carefully, with attention to data quality, assumptions, and reproducibility.
  • Works collaboratively with scientists from breeding, molecular biology, phenotyping, bioinformatics, and data teams.
  • Communicates analytical results clearly to both technical and non-technical audiences.
  • Manages assigned tasks effectively, asks timely questions, and follows through on deliverables.
  • Contributes to a culture of scientific rigor, continuous improvement, teamwork, and practical problem solving.

Reporting Structure

  • Reports to Senior Biotech Manager

Works under the guidance of senior scientists, project leads, and cross-functional research teams

BENEFITS:

Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)

Employee Philanthropic Giving Program 

Disability Insurance (plans vary by location)


Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)

Holiday Bonus

Performance Incentive Bonus Program
Tuition Reimbursement

529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance


Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays 

Birthday Off 


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