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Remote Data Engineer Jobs in Lompoc, CA (NOW HIRING)

Principal Systems Integration

Santa Maria, CA · On-site +1

$120K - $160K/yr

Engineering and Sciences Subcategory: Sys Integration Schedule: Full-Time Shift: Day Job Travel ... Secret Potential for Remote Work: ORA_ON_SITE Description SAIC seeks an experienced and energetic ...

Remote Data Engineer information

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$46.2K

$134.6K

$184.1K

How much do remote data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data engineer in Lompoc, CA is $134,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $142,600.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What cities near Lompoc, CA are hiring for Remote Data Engineer jobs? Cities near Lompoc, CA with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Lompoc, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $134,564 per year, or $64.7 per hour.

Principal Systems Integration

SAIC

Santa Maria, CA • On-site, Remote

$120K - $160K/yr

Full-time

Posted 15 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

Job ID: 2614938

Location: Santa Maria, CA, US

Date Posted: 2026-07-24

Category: Engineering and Sciences

Subcategory: Sys Integration

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 25% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: ORA_ON_SITE


Description

SAIC seeks an experienced and energetic Principal Integration Engineer to directly support the modernization of the space launch ranges, meeting mission requirements, providing range capabilities, and supporting the Assured Access to Space (AATS) mission. The overarching purpose of the program is to perform system modernization and digital transformation projects that will enable the acceleration of the space launch cadence to enable the Spaceport of the future.  This position is located in Santa Maria, CA.

Job Responsibilities:
•    Defines discrete systems with processes to link together complex systems and components with software applications to perform as a coordinated whole.
•    Uses a broad range of skills and a breadth of knowledge in several engineering/technology disciplines including systems and enterprise architecture, software and hardware engineering, interface protocols, and general problem-solving skills.
•    Assist in the development of transition planning, requirements development, and may develop architecture baselines.
•    Leads development of integration and migration plans/schedules.
•    Acts as an advocate for internal and external clients as an authority on architecture design to address client business problems.
•    Supports business process improvements or systems analysis for missions and systems requirements.

Qualifications


•    Bachelor’s and nine (9) years or more experience; master’s and seven (7) years or more experience; PhD or JD and four (4) years or more experience.  Experience will be considered in lieu of degree.
•    Basic experience with the DOE/DOD in some technical engineering forum.
•    Knowledge and experience of systems engineering processes, engineering life cycle process, and systems integration functions. 
•    Identify and implement system and process improvements as required to increase efficiency and quality.
•    Excellent communication skills, both written and verbal, with staff at all levels of the organization, and able to communicate effectively with external and internal customers about technical status/issues.
•    Ability to work across Integrated Product Teams and project organizations for team building, identifying gaps and deficiencies, coordinating activities, and incorporate problem solving skills.

Preferred Qualifications:


•    Experience with Launch, Test, and Range Systems (LTRS) and/or aerospace industries.
•    Knowledge of LTRS organizations, processes, and technical compliance documentation
•    Experience with product lifecycle management (PLM) and data management tools, such as Windchill.
•    Ability to work with partially defined requirements and changing criteria.
•    Ability to understand networking schematics and written test procedures.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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