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Home Based Junior Java Developer Remote Jobs in Santa Clara, CA

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Junior Data Engineer

Mountain View, CA · Remote

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

EPSoft Technologies

Andriod Developer

Sunnyvale, CA · Remote

$57 - $75/hr

Andriod Developer Location: Sunnyvale, CA (Remote) - Look for nearby location candidates those ... Experience with mobile software development using Java & Kotlin * Strong experience in Algorithm ...

CENTRL

Software Engineer (Remote)

Mountain View, CA · Remote

Experience coding with Java and Python; Front-end experience with Angular. * Experience with AI ... We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual ...

Match Point Solutions

Full stack engineers

Pleasanton, CA · Remote

$35 - $40/hr

Role Full stack Engineer Location Remote duration 6+months Rate $35-$40/hr Summary : 2 full stack ... C++, Python, Java, Go, or Rust * Experience and interest in full-stack development (Backend or Data)

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Showing results 21-40

All JobsHome Based Java Developer JobsHome Based Junior Java Developer Remote JobsHome Based Junior Java Developer Remote Jobs in Santa Clara, CA

Home Based Junior Java Developer Remote information

See Santa Clara, CA salary details

$71.6K

$125.5K

$189.1K

How much do home based junior java developer remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for home based junior java developer remote in Santa Clara, CA is $125,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $125,100.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Junior Java Developer Remote vs Junior Software Engineer?

AspectHome Based Junior Java Developer RemoteJunior Software Engineer
Work EnvironmentRemote, home-basedTypically office-based, but may include remote options
Required SkillsJava programming, basic software development, problem-solvingProgramming skills, software development fundamentals, possibly multiple languages
CertificationsJava certifications helpful but not mandatorySimilar certifications, such as Java or software development courses
Industry UsageCommon in tech companies, startups, remote-friendly firmsUsed across various industries, often in office settings

Home Based Junior Java Developer Remote roles focus on Java programming in a remote setting, while Junior Software Engineer positions may involve broader programming tasks and often require working in an office environment. Both roles share similar skills and certifications but differ mainly in work location and scope.

What are popular job titles related to Home Based Junior Java Developer Remote jobs in Santa Clara, CA?

For Home Based Junior Java Developer Remote jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Home Based Junior Java Developer Remote jobs in Santa Clara, CA look for?

The top searched job categories for Home Based Junior Java Developer Remote jobs in Santa Clara, CA are:

Home Based Junior Java Developer Remote jobs near you
Infographic showing various Home Based Junior Java Developer Remote job openings in Santa Clara, CA as of June 2026, with employment types broken down into 63% Full Time, 33% Part Time, and 4% Temporary. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $125,459 per year, or $60.3 per hour.

Junior Data Engineer

Sequoia Connect

Mountain View, CA • On-site, Remote

Full-time

Posted 11 days ago

Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.

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