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Remote Amazon Data Engineer Jobs in Santa Maria, CA

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 Amazon Data Engineer information

See Santa Maria, CA salary details

$45.6K

$133K

$181.9K

How much do remote amazon data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote amazon data engineer in Santa Maria, CA is $132,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $140,900.00 per year, depending on experience, location, and employer.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What job categories do people searching Remote Amazon Data Engineer jobs in Santa Maria, CA look for? The top searched job categories for Remote Amazon Data Engineer jobs in Santa Maria, CA are:
What cities near Santa Maria, CA are hiring for Remote Amazon Data Engineer jobs? Cities near Santa Maria, CA with the most Remote Amazon Data Engineer job openings:
Infographic showing various Remote Amazon Data Engineer job openings in Santa Maria, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $132,964 per year, or $63.9 per hour.

Principal Systems Integration

SAIC

Santa Maria, CA • On-site, Remote

$120K - $160K/yr

Full-time

Posted 6 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

74th of 220 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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