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Remote Ee Jobs in Fallbrook, CA (NOW HIRING)

SAIC

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology. * 3+ ...

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Remote Ee information

See Fallbrook, CA salary details

$70.2K

$127.7K

$180.8K

How much do remote ee jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote ee in Fallbrook, CA is $127,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $148,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Electrical Engineer, and why are they important?

To thrive as a Remote Electrical Engineer, you need a solid background in electrical engineering principles, a relevant degree, and experience in circuit design and analysis. Familiarity with CAD software, simulation tools like MATLAB or PSpice, and possibly a Professional Engineer (PE) license are typically required. Strong problem-solving abilities, self-motivation, and excellent communication skills are crucial for collaborating with remote teams and managing projects independently. These skills ensure the successful completion of complex engineering tasks while maintaining productivity and quality in a remote work environment.

What are some unique challenges faced by a Remote Electrical Engineer, and how can they be effectively managed?

Remote Electrical Engineers often encounter challenges such as coordinating with on-site teams, accessing specialized equipment, and ensuring clear communication across time zones. To manage these, it's important to utilize collaborative digital tools, schedule regular check-ins, and maintain detailed documentation. Building strong relationships with team members and leveraging remote access software can also help overcome technical and logistical hurdles, ensuring projects stay on track and quality standards are met.

What are remote EEs?

Remote EEs are electrical engineers who perform their work from a remote location rather than onsite at a company's office or facility. They use digital tools and communication technologies to design, analyze, and manage electrical systems and projects. Remote electrical engineers often collaborate with teams virtually, participate in meetings online, and use cloud-based platforms to work on schematics and technical documentation. This arrangement allows for greater flexibility in work location and can open up job opportunities with companies around the world.
What are popular job titles related to Remote Ee jobs in Fallbrook, CA? For Remote Ee jobs in Fallbrook, CA, the most frequently searched job titles are:
What cities near Fallbrook, CA are hiring for Remote Ee jobs? Cities near Fallbrook, CA with the most Remote Ee job openings:
Remote Ee jobs near you
Infographic showing various Remote Ee job openings in Fallbrook, CA as of June 2026, with employment types broken down into 65% Full Time, 22% Part Time, and 13% Contract. Highlights an 49% Physical, 3% Hybrid, and 48% Remote job distribution, with an average salary of $127,655 per year, or $61.4 per hour.
Data Ops Engineer

Data Ops Engineer

SAIC

San Diego, CA • On-site, Remote

$200K - $240K/yr

Full-time

Posted 20 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

77th of 230 rated it services

Job description

Job ID: 2612348

Location: San Diego, CA, US

Date Posted: 2026-05-08

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability. You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions.  This position is on-site in San Diego, CA.Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.

  • Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.
  • Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Employ a variety of data manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team.
  • Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable.
  • Work with data in a variety of formats including Excel, CSV, JSON, and XML.
  • Support the incident management process to ensure that incidents are documented and resolved quickly.  Perform root cause analysis to understand and
  • prevent repeated occurrences of data outages.
  • Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues.  Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
  • Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. 
  • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
     

Qualifications

  • U.S. citizenship and an active TS/SCI
  • Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
    Tools
  • Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
    Operating Systems: Windows, Linux (RedHat).

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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