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Internship Python Django Developer Jobs in Sacramento, CA

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$92

How much do internship python django developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship python django developer in Sacramento, CA is $62.51, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $71.01 per hour, depending on experience, location, and employer.

Is Python and Django enough to get a job as an Internship Python Django Developer?

Having proficiency in Python and Django is essential for an internship as a Python Django Developer, but employers often look for additional skills such as HTML, CSS, JavaScript, version control, and understanding of databases. Gaining practical experience through projects, internships, or certifications can improve chances of securing the role, as many companies value a combination of technical skills and hands-on experience.

What is the difference between Internship Python Django Developer vs Junior Python Developer?

AspectInternship Python Django DeveloperJunior Python Developer
Required CredentialsBasic programming knowledge, possibly a student or recent graduateProven Python skills, some work experience or projects
Work EnvironmentInternship setting, learning-focused, supervisedFull-time or part-time employment, independent tasks
Employer & Industry UsageEntry-level roles in tech companies, startups, or agenciesDevelopment teams in various industries, software firms

Internship Python Django Developers are typically students or recent graduates gaining hands-on experience under supervision, while Junior Python Developers are more experienced, handling independent tasks in professional settings. Both roles involve Python, but the internship emphasizes learning and skill development, whereas the junior role focuses on contributing to projects with existing knowledge.

What does an internship Python Django developer do?

As an Internship Python Django Developer, you can expect to work on a variety of tasks such as assisting with the development of web applications, writing and testing code, fixing bugs, and collaborating with senior developers on ongoing projects. Interns often participate in code reviews, contribute to documentation, and help maintain existing applications. You'll also have opportunities to learn about the full software development lifecycle and gain hands-on experience with popular development tools and best practices, all within a collaborative team environment.

What are the key skills and qualifications needed to thrive as an internship Python Django developer?

To thrive as an Internship Python Django Developer, you need a solid understanding of Python programming, Django framework fundamentals, and basic web development concepts, often supported by coursework or personal projects. Familiarity with Git for version control, relational databases like PostgreSQL or MySQL, and exposure to REST APIs are commonly expected technical skills. Strong problem-solving, teamwork, and a willingness to learn help interns adapt quickly and contribute effectively to development projects. These skills and qualities are crucial for building reliable web applications, collaborating within development teams, and accelerating professional growth in a practical work environment.

Is a Python Django internship worth it?

A Python Django internship provides practical experience in web development, allowing interns to learn frameworks, coding best practices, and teamwork in a real-world environment. It can enhance a resume, develop technical skills, and improve job prospects in software development roles.

What is an internship Python Django developer?

Internship Python Django Developers are students or early-career professionals who are gaining practical experience in software development using the Python programming language and the Django web framework. During their internship, they typically assist with building, testing, and maintaining web applications, often working under the supervision of experienced developers. This role helps interns develop technical skills, understand real-world coding practices, and learn how to collaborate within a development team. It's a valuable stepping stone for those interested in pursuing a career in backend or full-stack web development.
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Internship Python Django Developer jobs near you
Infographic showing various Internship Python Django Developer job openings in Sacramento, CA as of July 2026, with employment types broken down into 75% Full Time, 9% Part Time, 1% Temporary, and 15% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $130,019 per year, or $62.5 per hour.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA • On-site

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days 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