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Entry Level Data Engineer Remote Jobs in California

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

$144.30K - $190.30K/yr

Combining Data Virtualization and Data-as-Products, Zipstack lets organizations uniformly access ... There are significant engineering challenges to be solved to make this frictionless, scalable and ...

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Entry Level Data Engineer Remote information

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer (Remote), and why are they important?

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.

What are some common challenges faced by entry-level data engineers working remotely, and how can they overcome them?

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

What is an Entry Level Data Engineer (Remote)?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.
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 cities in California are hiring for Entry Level Data Engineer Remote jobs? Cities in California with the most Entry Level Data Engineer Remote job openings:
OpenClaw Engineer (Remote)

OpenClaw Engineer (Remote)

Outlier AI

Los Angeles, CA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.