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Metadata Internship Jobs in Washington (NOW HIRING)

Fraud Analyst

Washington, DC · Remote

$78K - $117K/yr

... internships or academic research) * Foundational understanding of cyber threat analysis and ... and related metadata * Familiarity with OSINT collection and analysis techniques * Exposure to ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Apply data governance, security, and metadata management best practices Qualifications (aligned to ... internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

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Metadata Internship information

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How much do metadata internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for metadata internship in Washington is $17.61, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $19.86 per hour, depending on experience, location, and employer.

What is a metadata internship?

A Metadata Internship is a training position where interns assist with organizing, categorizing, and managing metadata for digital or physical assets. Metadata refers to the descriptive information about data, such as tags, keywords, descriptions, and classifications that improve accessibility and retrieval. Interns may work with databases, content management systems, or digital libraries to ensure metadata accuracy and consistency. This role is common in industries like media, publishing, libraries, and technology, where proper data organization is crucial. It's an excellent opportunity to gain hands-on experience in data management, digital archiving, and information science.

What are the key skills and qualifications needed to thrive in a metadata internship, and why are they important?

To thrive as a Metadata Internship, you need strong organizational skills, attention to detail, and familiarity with data management principles, often supported by coursework in information science or library studies. Knowledge of metadata standards (such as Dublin Core, MARC), experience with database management systems, and proficiency in tools like Excel or specialized content management systems are valuable. Effective communication, critical thinking, and a collaborative mindset help interns excel in team-based projects and resolve data-related challenges. These skills are important for accurately categorizing, managing, and maintaining the quality and accessibility of digital information—a core function in many organizations.

What types of projects or tasks can I expect to work on during a metadata internship?

As a Metadata Intern, you will typically assist with organizing, cataloging, and updating digital assets or records using established metadata standards. Your day-to-day tasks may include reviewing datasets for accuracy, entering descriptive information into databases, and collaborating with team members on data cleanup or migration projects. You might also support quality assurance efforts and participate in meetings about optimizing metadata workflows. This hands-on experience will help you develop technical skills and gain a deeper understanding of how structured data supports larger organizational needs.

What are the most commonly searched types of Metadata jobs in Washington? The most popular types of Metadata jobs in Washington are:

Software Engineering Director

Pyramid Consulting, Inc.

Mclean, VA • On-site

$80 - $85/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Immediate need for a talented Software Engineering Director. This is a 06+ Months Contract opportunity with long-term potential and is located in Mclean, VA (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-13705
Pay Range: $80 - $85/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
Key Responsibilities:

  • Deep understanding of modern software designs and emerging AI technologies
  • Ability to align technical decisions with business objectives
  • Ability to establish engineering practices for responsible AI implementation
  • Being enthusiastic about technology and engineering discipline and applying it in building innovative distributed systems reducing complexity
  • Taking ownership, acting with accountability and urgency
  • Energized by challenges, demonstrate resilience, incredible technical analysis, and focus on doing the right thing
  • Constantly exploring modern technologies and their practical applications
  • Building consensus while driving technical excellence
  • Ability to create & articulate application technical designs, decomposing designs to development tasks, sizing efforts and building roadmaps aligning with business goals
  • Thriving in ambiguity and rapid technological change
  • Passion for elevating team capabilities and sharing knowledge
  • Balancing perfection with pragmatic delivery
  • Self-driven, actively looking for ways to contribute, and knowing how to get things done

Key Requirements and Technology Experience:

  • Must have skills: - Java, python, Springboot, Microservices, Gen-AI and People management
  • Bachelor’s or Master’s in Computer Science, Computer Engineering, or related field
  • 15+ years of non-internship professional experience in software engineering, with at least 5+ years in data engineering
  • 10+ years of experience in design, development, delivery and supporting distributed systems using Java, Spring, Spring Boot, Microservices, RESTful and GraphQL APIs
  • 4+ years’ experience in developing and maintaining applications using Spark frameworks with strong programming skills in Python, Scala, and Spark ecosystem
  • Expertise in processing and analyzing large-scale datasets
  • Knowledge of Object-Oriented Design, data structures, and algorithms
  • Experience with cloud platforms like AWS, Google Cloud Platform or Azure and their data services
  • Strong knowledge of data fabric concepts (data virtualization, metadata-driven orchestration, semantic layers)
  • Experience with near real-time data processing, stream-based integrations, and data serialization formats
  • Experience with data modelling, and an understanding of common information models
  • 5+ years' experience in Agile practices, building software in enterprise environment, with 1+ years in applied Gen AI or LLM-based solutions
  • Experience with modern data analytics and AI/ML integration (SageMaker, Tableau, Snowflake Spectrum)
  • Hands-on experience with CI/CD pipelines and modern DevOps/DataOps practices, including Git, Terraform, Jenkins, Pipelines, and Containerization
  • Experience in designing, implementing, and maintaining scalable data pipelines and ETL/ELT processes to support enterprise reporting and analytics needs
  • Experience in Data Governance discipline including Master Data Management, Data Quality Management, Metadata management, Lineage, and cataloging
  • Experience with OAuth Implementation, API Management, Service Mesh, Active-MQ implementations (Queue/Topic) and Schedulers for batch jobs.
  • Experience in database systems (RDBMS, GraphDB, Advanced SQL proficiency, MongoDB), Object storage (S3, Blob), Caching (Redis), and DataMart’s
  • Experience solving complex problems, especially in algorithm-heavy or data intensive applications
  • Knowledge in building RAG systems, data ingestion pipelines, and embedding-driven retrieval systems
  • Excellent communication skills with ability to translate technical concepts to various audiences
  • 7+ years in leadership roles managing cross-functional engineering teams including both data engineers and software engineers
  • Proven experience influencing business outcomes through technical solutions
  • Strong people skills to influence and engage stakeholders across all levels without direct authority
  • Excellent problem solving, design thinking, and decision-making skills

Our client is a leading Banking and Financial Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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