... and internships. o Strong hands-on knowledge of Confluent Kafka, including schema management ... governance, metadata management, and data quality frameworks. o Develop DoD requirements ...
... and internships. o Strong hands-on knowledge of Confluent Kafka, including schema management ... governance, metadata management, and data quality frameworks. o Develop DoD requirements ...
Metadata Internship information
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 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 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 are the most commonly searched types of Metadata jobs in Maryland?
The most popular types of Metadata jobs in Maryland are:
What are popular job titles related to Metadata Internship jobs in Maryland?
For Metadata Internship jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Metadata Internship jobs in Maryland look for?
The top searched job categories for Metadata Internship jobs in Maryland are:
What cities in Maryland are hiring for Metadata Internship jobs?
Cities in Maryland with the most Metadata Internship job openings:
Other
Re-posted 21 days ago
Key responsibilities
Design, develop, and implement secure, scalable data solutions using Confluent Kafka, Elastic Stack, AWS, and OpenShift/Kubernetes.
Create and support data pipelines, visualizations, and dashboards, and integrate various data sources into platforms like Confluent (Kafka) and Elastic.
Collaborate with stakeholders to ensure data integration solutions meet project requirements, adhere to security and governance policies, and support system performance and troubleshooting.
Job description
The ideal candidate brings knowledge in streaming data architecture, cloud-native technologies, and platform engineering, and thrives in guiding teams through technical delivery. This role involves design, development, and implementation of secure, scalable data solutions. The candidate will preferably have experience in Defense Information Systems Network (DISN) environments with a background in Systems Engineering, Solution Architecture, Network Engineering, or Software Development to apply their expertise to support complex data integration and interoperability efforts across the project within DoD network infrastructures. As a key End to End Visualization team member, you will be conducting design and implementation for a variety of solution capabilities to integrating various data sources into Confluent (Kafka) and Elastic platforms, design of robust data integration solutions, and adhering to the program’s CI/CD processes and data governance practices. You will an integral member of a fast paced, Agile development and implementation team to architect, design and develop data integration solutions (Extract, Transform, Load) to support a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Elastic platform. You will also work with operational end users and support teams to perform requirements analysis, as well as design, develop and demonstrate mockups and wireframes. • Primary Responsibilities:
o Solution implementation using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes).
o Create Kafka, Elastic, Logstash data pipelines and support Kibana visualizations and dashboards using React, JavaScript and HTML.
o Partner with product owners, architects, and cross-functional leaders to ensure delivery aligns with strategic goals.
o Development and maintenance of middleware, APIs, and data pipelines to enable interoperability across disparate systems.
o Apply expertise in network security, transport protocols, and DISN architectures to ensure compliance with DoD cybersecurity and data governance policies.
o Leverage AI/ML techniques to optimize data processing, anomaly detection, predictive analytics, and automation in data integration workflows.
o Enforce strong data governance practices, ensuring data accuracy, security, and compliance with DoD and industry regulations.
o Troubleshoot and optimize data flows, network configurations, and system performance issues.
o Research, design, develop and user-test experience and make strategic user-experience decisions while working closely with product owners, engineers and stakeholders throughout the product lifecycle.
o Design, develop, document, test and deploy applications and prototypes in JavaScript, HTML and CSS on the Elastic platform.
o Integrating ETL components with CI/CD build/deployment pipelines that use Cloudbees/Jenkins, Artifactory, OpenShift/Kubernetes, Docker and Bitbucket.
o Designing, development, documenting, testing and deploying applications. • Basic Qualifications:
o Bachelor’s degree from an accredited college in a relevant technical discipline and 2+ year of related experience obtained through any combination of coursework and internships.
o Strong hands-on knowledge of Confluent Kafka, including schema management, stream processing, and Kafka Connect.
o Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for logging, monitoring, and observability.
o Prior experience with implementing enterprise data lakes, ETL pipelines, and distributed data architectures.
o Proficient in AWS services relevant to data platforms (e.g., EC2, S3, Kinesis, Lambda, IAM, CloudWatch).
o Experience deploying and managing workloads in OpenShift or Kubernetes-based environments.
o Familiarity with infrastructure as code, CI/CD pipelines, and container orchestration best practices.
o Effectively managing remotely with a geographically dispersed team.
o Working knowledge of DISA STIGs, RMF, and other DoD compliance frameworks.
o Strong background in data governance, metadata management, and data quality frameworks.
o Develop DoD requirements, traceability, and detailed plans/schedules.
o Development of software systems engineering documents and interface documents (IDDs/ICDs)
o Strong understanding of DoD network infrastructure, security requirements, and data exchange protocols.
o Experience in application integration design and strong communication skills for collaboration with virtual teams.
o Proficiency in data integration technologies, APIs, message brokers, and middleware solutions.
o Experience with network security, encryption, and access controls in classified and unclassified environments.
o Prior experience in big data analytics or cybersecurity solutions within a DISN environment
o Background in observability platforms, incident response, or real-time analytics.
o Software development experience with Python, Java and SQL. Working knowledge of HTML and JavaScript.
o Experience with distributed version control software such as Git and Bitbucket.
o Knowledge of and ability to apply principles, theories, and concepts of Software Engineering.
o Ability to obtain interim Secret DoD Security clearance prior to starting date.
o Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 60 days of start date.
o 2+ years of demonstrable experience designing, developing and deploying dashboards and reports using the Elastic stack, including Elasticsearch, Logstash, Kibana and Beats.
o Experience in architecture, design, development, and delivery of data driven operations capabilities, within a DoD environment.
o Experience using project management tools such as Jira and Confluence to document requirements, acceptance criteria and test cases.
o Strong written and verbal communication skills to collaborate with and convey focused messages to stakeholders, customers, domain experts, program managers and teammates. • Preferred Qualifications:
o Deep understanding of DISN networks with a technical background in Systems Engineering, Solution Architecture, Network Engineering, or Software Development within a specific technical area
o Experience developing and deploying software in a DoD environment (DISA experience is a plus), including experience building and deploying software applications that meet DoD security standards, including updating applications and code to meet security scans and meeting security implementation guidelines (e.g. STIGs).
o Experience in data technologies like Kafka, Elastic, Spark, NiFi.
o Solution implementation using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes).
o Create Kafka, Elastic, Logstash data pipelines and support Kibana visualizations and dashboards using React, JavaScript and HTML.
o Partner with product owners, architects, and cross-functional leaders to ensure delivery aligns with strategic goals.
o Development and maintenance of middleware, APIs, and data pipelines to enable interoperability across disparate systems.
o Apply expertise in network security, transport protocols, and DISN architectures to ensure compliance with DoD cybersecurity and data governance policies.
o Leverage AI/ML techniques to optimize data processing, anomaly detection, predictive analytics, and automation in data integration workflows.
o Enforce strong data governance practices, ensuring data accuracy, security, and compliance with DoD and industry regulations.
o Troubleshoot and optimize data flows, network configurations, and system performance issues.
o Research, design, develop and user-test experience and make strategic user-experience decisions while working closely with product owners, engineers and stakeholders throughout the product lifecycle.
o Design, develop, document, test and deploy applications and prototypes in JavaScript, HTML and CSS on the Elastic platform.
o Integrating ETL components with CI/CD build/deployment pipelines that use Cloudbees/Jenkins, Artifactory, OpenShift/Kubernetes, Docker and Bitbucket.
o Designing, development, documenting, testing and deploying applications. • Basic Qualifications:
o Bachelor’s degree from an accredited college in a relevant technical discipline and 2+ year of related experience obtained through any combination of coursework and internships.
o Strong hands-on knowledge of Confluent Kafka, including schema management, stream processing, and Kafka Connect.
o Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for logging, monitoring, and observability.
o Prior experience with implementing enterprise data lakes, ETL pipelines, and distributed data architectures.
o Proficient in AWS services relevant to data platforms (e.g., EC2, S3, Kinesis, Lambda, IAM, CloudWatch).
o Experience deploying and managing workloads in OpenShift or Kubernetes-based environments.
o Familiarity with infrastructure as code, CI/CD pipelines, and container orchestration best practices.
o Effectively managing remotely with a geographically dispersed team.
o Working knowledge of DISA STIGs, RMF, and other DoD compliance frameworks.
o Strong background in data governance, metadata management, and data quality frameworks.
o Develop DoD requirements, traceability, and detailed plans/schedules.
o Development of software systems engineering documents and interface documents (IDDs/ICDs)
o Strong understanding of DoD network infrastructure, security requirements, and data exchange protocols.
o Experience in application integration design and strong communication skills for collaboration with virtual teams.
o Proficiency in data integration technologies, APIs, message brokers, and middleware solutions.
o Experience with network security, encryption, and access controls in classified and unclassified environments.
o Prior experience in big data analytics or cybersecurity solutions within a DISN environment
o Background in observability platforms, incident response, or real-time analytics.
o Software development experience with Python, Java and SQL. Working knowledge of HTML and JavaScript.
o Experience with distributed version control software such as Git and Bitbucket.
o Knowledge of and ability to apply principles, theories, and concepts of Software Engineering.
o Ability to obtain interim Secret DoD Security clearance prior to starting date.
o Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 60 days of start date.
o 2+ years of demonstrable experience designing, developing and deploying dashboards and reports using the Elastic stack, including Elasticsearch, Logstash, Kibana and Beats.
o Experience in architecture, design, development, and delivery of data driven operations capabilities, within a DoD environment.
o Experience using project management tools such as Jira and Confluence to document requirements, acceptance criteria and test cases.
o Strong written and verbal communication skills to collaborate with and convey focused messages to stakeholders, customers, domain experts, program managers and teammates. • Preferred Qualifications:
o Deep understanding of DISN networks with a technical background in Systems Engineering, Solution Architecture, Network Engineering, or Software Development within a specific technical area
o Experience developing and deploying software in a DoD environment (DISA experience is a plus), including experience building and deploying software applications that meet DoD security standards, including updating applications and code to meet security scans and meeting security implementation guidelines (e.g. STIGs).
o Experience in data technologies like Kafka, Elastic, Spark, NiFi.