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Junior Data Engineer Remote Jobs in California (NOW HIRING)

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 ...

New

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

3B Staffing LLC

Data Operations Engineer

Sunnyvale, CA · Remote

$136K - $163K/yr

Data Operations Engineer Remote 12+ contract to hire. Unable to sponsor now or later. The Data Operations team enables seamless data usage across the company by building scalable, high-quality data ...

Posted today

3B Staffing LLC

Data Operations Engineer

Sunnyvale, CA · Remote

$136K - $163K/yr

Data Operations Engineer Remote 12+ contract to hire. Unable to sponsor now or later. The Data Operations team enables seamless data usage across the company by building scalable, high-quality data ...

Posted today

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are in the office 4 days per week with the 5th business day being remote. WHAT SUCCESS LOOKS ... open requirements DATA ENGINEERING Design, build, and maintain data pipelines using modern ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246048 Location: San Diego,CA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 3-6 years of experience as a Data Engineer. * Hands-on experience with ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

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Junior Data Engineer Remote information

What are the key skills and qualifications needed to thrive as a junior data engineer, and why are they important?

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

How does a junior data engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

What is a junior data engineer?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.
What are the most commonly searched types of Data Engineer Remote jobs in California? The most popular types of Data Engineer Remote jobs in California are:
What are popular job titles related to Junior Data Engineer Remote jobs in California? For Junior Data Engineer Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineer Remote jobs in California look for? The top searched job categories for Junior Data Engineer Remote jobs in California are:
What cities in California are hiring for Junior Data Engineer Remote jobs? Cities in California with the most Junior Data Engineer Remote job openings:
Junior Data Engineer Remote jobs near you
Infographic showing various Junior Data Engineer Remote job openings in California as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Junior Data Engineer

Sequoia Connect

Mountain View, CA • On-site, Remote

Full-time

Posted 2 days ago

New

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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