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Internship Remote Data Protection Jobs in Washington

APA

Internships at APA - APA Publishing

Washington, DC · On-site +1

Data entry * Other projects as assigned. Professional Advancement Through hands-on experience, you ... Remote work interns may not work from the following states or U.S. territories: Alaska, Arkansas ...

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Internship Remote Data Protection information

What types of projects and tasks can I expect to work on during a remote data protection internship?

As a remote data protection intern, you can expect to work on projects such as assisting with data privacy audits, reviewing and updating privacy policies, helping to map data flows, and supporting compliance initiatives with regulations like GDPR or CCPA. You may also be involved in researching best practices, preparing documentation, and collaborating with IT and legal teams to ensure data security measures are up to date. Regular meetings and mentorship are common, providing opportunities to learn from experienced professionals and gain practical skills relevant to data protection.

What are the key skills and qualifications needed to thrive as an Internship Remote Data Protection, and why are they important?

To thrive as an Internship Remote Data Protection professional, you need a basic understanding of data privacy principles, cybersecurity concepts, and relevant legal frameworks, often supported by coursework or a degree in information technology, computer science, or law. Familiarity with data protection tools, encryption software, and compliance standards such as GDPR or HIPAA is typically expected. Strong attention to detail, problem-solving skills, and the ability to communicate complex issues clearly are valuable soft skills for this role. These skills are critical to ensure sensitive data is safeguarded, regulatory requirements are met, and risks are effectively managed in a remote work environment.

What is the difference between Internship Remote Data Protection vs Data Security Analyst?

AspectInternship Remote Data ProtectionData Security Analyst
CredentialsTypically pursuing or recent graduate, some certifications optionalRelevant certifications like CISSP, CISA often required
Work EnvironmentRemote internship, supervised by teamFull-time, often on-site or hybrid, in corporate or security firm
Industry UsageEntry-level, educational, training-focusedProfessional role with ongoing responsibilities

Internship Remote Data Protection provides hands-on experience for students or recent graduates in data security, often in a remote setting. Data Security Analysts are experienced professionals responsible for protecting organizational data, requiring relevant certifications and full-time commitment. The internship is a learning opportunity, while the analyst role involves active security management.

What are Internship Remote Data Protection positions?

Internship Remote Data Protection positions are entry-level roles designed for students or recent graduates to gain hands-on experience in safeguarding digital information, specifically while working remotely. Interns in these positions typically assist with implementing and monitoring data security measures, ensuring compliance with privacy regulations, and learning about best practices in cybersecurity. These roles are valuable for individuals interested in building a career in IT security, as they provide exposure to real-world challenges in protecting sensitive data in distributed work environments.
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Internship Remote Data Protection jobs near you
Data Scientist (Vantage) - Clearance Required

Data Scientist (Vantage) - Clearance Required

Logistics Management Institute

Crystal City, VA • On-site, Remote

Other

Re-posted yesterday

Job description

Overview

LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required.

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Core Responsibilities:  

  • Data Engineering: Extract, transform, and load data using big data platforms like Palantir Foundry, loading data into data visualizations, transforming data using python and low code data pipeline building tools. 
  • Workflow Development: Build low-code no-code applications that allow end users to see real-time readiness dashboards. 
  • Data Integration: Automate and clean the ingestion of data from legacy systems so it's useful for decision-making. 
  • Predictive Analytics: Create models to forecast equipment failures, personnel shortages, or budget overruns. 
  • PI Planning: Help with feature writing, task decomposition, acceptance criteria, user stories, and processes for extracting dependencies from descriptive models. 
  • Ad-Hoc Reporting: Quickly answer critical information requirements by pulling data across different domains, ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.  

General Responsibilities: 

  • Support project management over data activities to ensure timely delivery in a reactive and agile environment. 
  • Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc. 
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use. 
  • Create data pipelines in python, going from raw data to data products needed for visualization or other analytics products.  
  • Understand and analyze complex and organization-specific datasets. 
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. 
  • Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields. 
  • Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization. 
Qualifications

Qualifications:  

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in lieu of a degree. 
  • Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance. 
  • 10 years of experience with Python, and strong experience with PySpark or similar big data libraries. 
  • Knowledge of Army Vantage and data environment standardization. 
  • Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). 
  • Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions 
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js to communicate findings and relate them back to how insights create business impact 
  • Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment. 
  • Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code, and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing (Pytest). 
  • Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana. 
  • Innovative problem solving and root cause identification skills. 
  • Superior communication skills, both oral and written. 
  • Able to work effectively at all levels of an organization. 
  • Must be a team player and able to work with and through others. 
  • Ability to influence and align others and move toward a common vision or goal. 
  • Federal government agency experience required 

Desired: 

  • Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. 
  • Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS. 
  • Experience with Army Vantage  
  • Experience with efforts focused on understanding interdependencies of programs within an organization.  

Travel: Minimal, less than 10% 

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote

Target salary range: $111,426 - $150,000

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Employment Type: OTHER

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