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Api Source Inspector Jobs in Washington (NOW HIRING)

Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

They will work with large data sets and develop data pipelines that move data from source systems ... Data API Development: Build and maintain data APIs to facilitate data access for various ...

Review and technical inspection of cloud systems, identifying and mitigating potential security ... Have a deep understanding of Cloud Security, API Security, and Container Security * Bachelor ...

Review and technical inspection of cloud systems, identifying and mitigating potential security ... Have a deep understanding of Cloud Security, API Security, and Container Security * Bachelor ...

Review and technical inspection of cloud systems, identifying and mitigating potential security ... Have a deep understanding of Cloud Security, API Security, and Container Security * Bachelor ...

Api Source Inspector information

What are the key skills and qualifications needed to thrive in the Api Source Inspector position, and why are they important?

To excel as an API Source Inspector, you need a solid understanding of engineering principles, welding and fabrication processes, and quality assurance standards, typically supported by relevant technical degrees and API 570/653/510 certifications. Proficiency with inspection tools, non-destructive testing (NDT) equipment, and digital reporting systems is essential for accurate documentation and evaluation. Strong attention to detail, integrity, and effective communication skills help inspectors work collaboratively and provide clear, actionable feedback. These competencies ensure compliance with industry codes, safeguard safety standards, and maintain asset integrity in industrial environments.

What are the typical daily responsibilities of an Api Source Inspector?

An API Source Inspector typically spends their day conducting detailed inspections of equipment, materials, and fabrication processes at manufacturing facilities, ensuring everything meets applicable codes and client specifications. They review documentation, oversee welding and testing procedures, and generate comprehensive inspection reports. Much of the role involves coordinating with project managers, engineers, and production teams to resolve issues as they arise. This position requires both field visits and administrative tasks, demanding a keen eye for detail and effective communication across diverse teams.

What is an Api Source Inspector?

An API Source Inspector is responsible for inspecting and verifying equipment, materials, and fabrication processes to ensure compliance with industry standards, such as those set by the American Petroleum Institute (API). They typically work in manufacturing facilities, vendor sites, or field locations, reviewing welds, coatings, and overall product quality. Their role helps prevent defects and ensures that products meet safety, reliability, and regulatory requirements before being delivered or installed.

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What job categories do people searching Api Source Inspector jobs in Washington look for? The top searched job categories for Api Source Inspector jobs in Washington are:
Infographic showing various Api Source Inspector job openings in Washington as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

$122K - $147K/yr

Full-time

Re-posted 23 days ago


Job description

Who We Are
Info Gain Consulting is a CMMI-DEV L3 appraised, and SBA Certified 8(a) Small business. We deliver program management, financial management, performance improvement, and technology enablement solutions to federal agencies in the US and overseas. Our federal clients value our ability to bring together expertise in people, processes, technology, and data to help them prepare for growth, manage risk, and improve operations.
Position Overview:
We are seeking a skilled Data Engineer to join our team, supporting the Department of Defense (DoD) Office of Inspector General (OIG). The candidate will be responsible for designing, building, and maintaining the infrastructure that supports data storage, processing, and retrieval in the Cloudera Data Platform. They will work with large data sets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems. The candidate will also develop and maintain data APIs, ETL processes, and data integration systems.
Responsibilities Include:
  • Data Infrastructure Design: Design and implement robust and scalable data infrastructure solutions within the Cloudera Data Platform.
  • Data Pipeline Development: Create and maintain data pipelines to efficiently move data from source systems to data storage and processing systems.
  • Data Storage Management: Manage and optimize data storage solutions, including data warehouses and data lakes.
  • ETL (Extract, Transform, Load) Processes: Develop and maintain ETL processes to cleanse, transform, and load data into appropriate storage systems.
  • Data Integration: Design, develop, and maintain data integration systems to ensure seamless data flow between different components.
  • Data API Development: Build and maintain data APIs to facilitate data access for various applications and users.
  • Performance Optimization: Continuously monitor and optimize data processes and infrastructure for maximum performance and efficiency.
  • Data Security: Implement and maintain data security measures to protect sensitive information.
  • Collaboration: Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and deliver effective solutions.
  • Documentation: Create and maintain clear and comprehensive documentation for data engineering processes and solutions.
  • Troubleshooting: Diagnose and resolve data-related issues and provide support as needed.
Required Skills, Experience, and Qualifications:
  • Education:
    • Bachelor's or higher degree in Computer Science, Information Technology, or a related field.
  • Clearance:
    • Must be a US Citizen with a current DoD Secret Clearance.
  • Certification:
    • Must have and maintain a current CompTIA Security+ CE certification.
  • Experience:
    • Proven experience in data engineering, including data pipeline development and infrastructure design.
    • Proficiency in Cloudera Data Platform or similar big data technologies.
    • Strong programming skills in languages such as Python, Java, or Scala.
    • Knowledge of database systems and SQL.
    • Familiarity with data warehousing concepts and tools.
    • Experience with ETL tools and processes.
    • Understanding of data security and compliance standards.
    • Excellent problem-solving and communication skills.
    • Ability to work independently and collaboratively in a remote team environment.
Preferred Qualifications
  • Certification in relevant data engineering technologies.
  • Experience working with the Department of Defense (DoD) or government agencies.
  • Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP).