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Intern Cloud Database Engineer Jobs in Farmington, NM

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How much do intern cloud database engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for intern cloud database engineer in Farmington, NM is $15.11, according to ZipRecruiter salary data. Most workers in this role earn between $12.79 and $17.07 per hour, depending on experience, location, and employer.

What is the difference between Intern Cloud Database Engineer vs Cloud Database Administrator?

AspectIntern Cloud Database EngineerCloud Database Administrator
CredentialsEnrolled in or recent graduate of relevant degree programs, basic certificationsProfessional certifications like AWS Certified Database - Specialty, experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time or part-time role, operational responsibilities in cloud environments
Employer & IndustryTech companies, startups, cloud service providersOrganizations using cloud databases, IT departments, cloud service providers
Search & Comparison IntentUnderstanding entry-level roles, learning opportunitiesOperational responsibilities, career advancement in cloud database management

The main difference between an Intern Cloud Database Engineer and a Cloud Database Administrator lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining foundational knowledge, while Cloud Database Administrators are more experienced professionals managing cloud database operations. Both roles are essential in cloud data management but serve different purposes within organizations.

What job categories do people searching Intern Cloud Database Engineer jobs in Farmington, NM look for? The top searched job categories for Intern Cloud Database Engineer jobs in Farmington, NM are:
What cities near Farmington, NM are hiring for Intern Cloud Database Engineer jobs? Cities near Farmington, NM with the most Intern Cloud Database Engineer job openings:
Infographic showing various Intern Cloud Database Engineer job openings in Farmington, NM as of May 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $31,424 per year, or $15.1 per hour.
Lead Database Integration Engineer

Lead Database Integration Engineer

Science Applications International Corporation

Farmington, NM • Hybrid

Other

Posted 8 days ago


Job description

SAIC is seeking a highly specialized Database Integration Engineer to support critical ground mission operations at Kirtland AFB in Albuquerque, New Mexico. This is a hybrid skills role that requires a unique blend of expertise: the candidate must be both a highly capable Database Architect/Expert and have some experience in Software Development with direct experience in satellite ground systems. The successful candidate will not just manage databases but will support the software integrations and data pipelines required to ingest, process, and store complex satellite telemetry and payload data into high-performance databases for mission operations.

 Key Responsibilities:

  • Support design and deploy software applications that interface directly with ground mission systems to capture real-time satellite data.
  • Architect, implement, and optimize database solutions (Relational, NoSQL, and Time-Series) specifically tuned for the high-throughput, low-latency requirements of satellite data streams.
  • Build robust data pipelines to parse, transform, and load satellite telemetry, tracking, and command (TT&C) data, as well as mission payload data, into centralized data stores.
  • Troubleshoot and resolve complex integration bottlenecks between ground software applications and backend database infrastructure.
  • Work directly with ground engineers, mission operators, and software teams to ensure data architecture meets operational mission requirements.
SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
  • Bachelor's degree in Computer or Data Sciences or related field and nine (9) years or more of experience; Master's degree and seven (7) years or more of relevant experience.
  • Active Top Secret or DoE Q clearance with SCI eligibility (must be eligible for SCI indoctrination within first 3 months of start date) and be able to obtain and maintain TS/SCI.
  • Minimum seven (7) years of combined experience in database engineering with some software development.
  • Understanding of software development for satellite ground systems, ground stations, or mission control centers.
  • Expert-level knowledge of database design, deployment, and optimization (e.g., PostgreSQL, MongoDB, InfluxDB, or similar time-series databases used for telemetry).
  • Understanding of programming proficiency in languages commonly used in ground systems and data integration (e.g., Python, C++, Java, or Go).
  • Deep understanding of satellite data structures, telemetry parsing, and how to model space-domain data within a database environment.
  • Demonstrated ability to operate as a full-lifecycle engineer, capable of supporting the integration code and building the database schema.

 Desired:

  • Experience with cloud-based data storage and processing (AWS/GovCloud, Azure Government).
  • Familiarity with DoD/DoW or Space Force data standards and cybersecurity compliance for ground systems.
  • Experience with containerization and orchestration (Docker, Kubernetes) in tactical or air-gapped environments.