📍 Job Overview

Job Title: Database Administrator 3 - COBRA
Company: HII's Mission Technologies division
Location: Washington, District of Columbia, United States
Job Type: On-site
Category: Database Administration
Date Posted: 2025-08-01
Experience Level: Mid-level (5-10 years)
Remote Status: On-site

🚀 Role Summary

Collaborate with mission partners to identify, coordinate, harvest, and expose relevant data sources.
Develop and implement quality and confidence methods for effective data processing and analysis.
Contribute to the development of new and revised analytic techniques to extract value from data.
Support data schema development and revision, ensuring proper mapping of new data sources.
Conduct long-term data and trend analysis to identify vulnerabilities and recommend mitigation strategies.
Provide on-site mission partner support and serve as a subject matter expert for data integration and multi-intelligence data operations.

📝 Enhancement Note: This role focuses on data integration, analysis, and management within a defense and intelligence environment, requiring strong problem-solving skills and the ability to work with multi-domain and multi-classification level data.

💻 Primary Responsibilities

Data Integration & Harvesting: Identify, coordinate, and harvest relevant data sources from various domains and classification levels.
Data Processing & Analysis: Develop and implement quality and confidence methods to ensure effective data processing and downstream analytical utility.
Analytic Technique Development: Contribute to the development of new and revised analytic techniques to extract value from data.
Data Schema Management: Support data schema development and revision, ensuring proper mapping of new data sources.
Trend Analysis & Threat Mitigation: Conduct long-term data and trend analysis to identify systemic vulnerabilities and high-priority threats, recommending strategies to mitigate them.
Mission Partner Support: Provide on-site mission partner support and serve as a subject matter expert for data integration and multi-intelligence data operations.

📝 Enhancement Note: This role requires a strong understanding of data integration, processing, and analysis techniques, as well as the ability to work effectively with mission partners across multiple domains and classification levels.

🎓 Skills & Qualifications

Education: Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems, or a related discipline).

Experience: At least 5 years of relevant experience in data integration, analysis, or a related field.

Required Skills:

Strong problem-solving and critical-thinking skills
Effective oral and written communication abilities
Experience working with data integration, analysis, or a related field
Familiarity with data schema development and revision
Knowledge of trend analysis and threat mitigation strategies

Preferred Skills:

Experience working in defense or intelligence environments
Excellent communication and collaboration skills
Relevant certifications (e.g., Security+, PMP)

📝 Enhancement Note: While not explicitly stated, candidates with experience in data warehousing, ETL processes, and data visualization tools may find this role particularly suitable.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Data Integration Projects: Include examples of data integration projects, highlighting your ability to identify, coordinate, and harvest relevant data sources.
Data Analysis & Visualization: Showcase your data analysis and visualization skills, demonstrating your ability to extract insights from data and communicate them effectively.
Trend Analysis & Reporting: Provide examples of trend analysis and reporting, showcasing your ability to identify vulnerabilities and recommend mitigation strategies.

Technical Documentation:

Data Schema Documentation: Include documentation of data schema development and revision, demonstrating your understanding of data mapping and integration processes.
Data Processing & Analysis Methodologies: Document your approach to data processing and analysis, highlighting the quality and confidence methods you employ.
Project Case Studies: Prepare case studies of your past projects, focusing on the challenges faced, the solutions implemented, and the outcomes achieved.

📝 Enhancement Note: As this role involves working with sensitive data and mission-critical systems, candidates should be prepared to discuss their approach to data security and classification management in their portfolio and interviews.

💵 Compensation & Benefits

Salary Range: $92,594 - $132,278 (USD) per year. This range is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration, including the candidate's education, training, work experience, and key skills.

Benefits: While not explicitly stated, typical benefits for a role of this level and within this industry may include:

Health, dental, and vision insurance
Retirement savings plans (401k, pension, etc.)
Paid time off (vacation, sick leave, holidays)
Employee assistance programs
Training and development opportunities
Employee discounts and perks

Working Hours: Full-time, with a typical workweek of 40 hours. Occasional overtime may be required to meet project deadlines or address critical issues.

📝 Enhancement Note: To estimate the salary range for this role, we considered the job title, required skills, and experience level, as well as regional salary data for database administrator roles in the Washington, D.C. area. We also took into account the company's size and industry, which tend to offer competitive salaries for similar roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Defense and intelligence, focusing on data integration, analysis, and cybersecurity for the U.S. military and federal agency partners.

Company Size: Medium to large (over 7,000 employees worldwide), with a strong presence in the defense and intelligence sectors.

Founded: Huntington Ingalls Industries (HII) was founded in 2011, following the spin-off of Northrop Grumman's shipbuilding sector. HII's Mission Technologies division was established in 2020, following the acquisition of Albemarle Corporation.

Team Structure:

The team consists of data analysts, data engineers, cybersecurity specialists, and other technical professionals focused on data integration, analysis, and management.
The team operates within the Warfare Systems business group, which comprises cyber and mission IT, electronic warfare, and C5ISR systems.

Development Methodology:

The team follows Agile development methodologies, with a focus on iterative development, continuous integration, and collaboration.
The team employs a DevOps approach, with a strong emphasis on automation, infrastructure as code, and continuous deployment.

Company Website: HII's Mission Technologies division

📝 Enhancement Note: Based on the company's focus on defense and intelligence, as well as its size and industry, candidates can expect a structured, hierarchical team organization with a strong emphasis on security, compliance, and mission-critical operations.

📈 Career & Growth Analysis

Database Administrator Career Level: This role is at the mid-level (Database Administrator 3) within the company's database administration career path. Responsibilities at this level include managing data integration projects, providing technical guidance to team members, and collaborating with mission partners to ensure effective data processing and analysis.

Reporting Structure: The Database Administrator 3 reports directly to the Database Administrator Manager, who oversees the team's day-to-day operations and provides guidance on technical and career development.

Technical Impact: The Database Administrator 3 has a significant impact on the team's ability to integrate, process, and analyze data effectively. Their work directly influences the quality and timeliness of data-driven insights and recommendations provided to mission partners.

Growth Opportunities:

Senior Database Administrator: With additional experience and demonstrated leadership, the Database Administrator 3 may advance to a senior-level role, overseeing larger data integration projects and providing technical guidance to more junior team members.
Data Engineering & Architecture: Candidates with strong technical skills and a keen interest in data engineering and architecture may transition to a role focused on designing, implementing, and maintaining data pipelines, data warehouses, and big data systems.
Data Science & Analytics: Candidates with a strong analytical mindset and a desire to focus on data-driven insights and predictive modeling may transition to a data science or analytics role, working closely with data engineers and database administrators to ensure effective data processing and analysis.

📝 Enhancement Note: Based on the company's focus on data integration, analysis, and management, as well as its commitment to professional development, candidates can expect a clear career path with opportunities for growth and advancement within the database administration, data engineering, and data science disciplines.

🌐 Work Environment

Office Type: The team operates in a hybrid work environment, with a mix of on-site and remote work arrangements. The on-site office is designed to facilitate collaboration, with open workspaces, meeting rooms, and breakout areas.

Office Location(s): The primary office for this role is located in Washington, D.C., with additional offices and remote work options available depending on the specific needs of the role and the candidate.

Workspace Context:

Collaboration: The workspace is designed to encourage collaboration, with open workspaces, meeting rooms, and breakout areas that facilitate teamwork and knowledge sharing.
Technical Infrastructure: The workspace is equipped with modern hardware, software, and networking infrastructure to support data integration, analysis, and management tasks.
Security & Compliance: The workspace is subject to strict security and compliance protocols, with physical and logical access controls in place to protect sensitive data and systems.

Work Schedule: The work schedule is typically Monday through Friday, with standard business hours. Occasional overtime may be required to meet project deadlines or address critical issues.

📝 Enhancement Note: Based on the company's focus on defense and intelligence, as well as its commitment to collaboration and innovation, candidates can expect a dynamic, team-oriented work environment that emphasizes knowledge sharing, continuous learning, and professional development.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone or video call to assess the candidate's communication skills, technical background, and cultural fit.
Technical Assessment: A hands-on assessment of the candidate's data integration, analysis, and management skills, as well as their ability to work with complex data sets and tools.
On-Site Interview: An on-site interview with the hiring manager, team members, and other stakeholders to assess the candidate's technical skills, problem-solving abilities, and cultural fit.
Final Decision: A final decision is made based on the candidate's performance throughout the interview process, as well as their alignment with the role's requirements and the team's needs.

Portfolio Review Tips:

Data Integration Projects: Highlight your ability to identify, coordinate, and harvest relevant data sources by including examples of data integration projects and the tools and techniques you employed.
Data Analysis & Visualization: Showcase your data analysis and visualization skills by including examples of your work and the insights you've derived from data.
Trend Analysis & Reporting: Demonstrate your ability to identify trends, analyze data, and make data-driven recommendations by including examples of trend analysis and reporting projects.

Technical Challenge Preparation:

Data Integration Challenges: Familiarize yourself with data integration tools and techniques, and be prepared to discuss your approach to identifying, coordinating, and harvesting relevant data sources.
Data Analysis & Visualization Challenges: Brush up on your data analysis and visualization skills, and be prepared to discuss your approach to extracting insights from data and communicating them effectively.
Trend Analysis & Reporting Challenges: Review your trend analysis and reporting skills, and be prepared to discuss your approach to identifying vulnerabilities and recommending mitigation strategies.

ATS Keywords: (Organized by category)

Programming Languages: SQL, Python, R, Java, C++
Data Integration Tools: Talend, Informatica, Pentaho, Apache Airflow, AWS Glue, Azure Data Factory
Data Warehousing & Big Data: Amazon Redshift, Google BigQuery, Microsoft Azure Synapse, Hadoop, Spark
Data Analysis & Visualization: Tableau, Power BI, Qlik, Matplotlib, Seaborn, D3.js
Trend Analysis & Reporting: R, Python, SQL, Excel, Tableau, Power BI
Database Administration: MySQL, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, Cassandra
Operating Systems: Windows, Linux, macOS
Methodologies: Agile, Scrum, DevOps, ITIL, COBIT, NIST
Industry Terms: Data integration, data analysis, data management, data warehousing, big data, machine learning, artificial intelligence, cybersecurity, defense, intelligence

📝 Enhancement Note: To optimize your resume for this role, focus on relevant data integration, analysis, and management skills and experience, as well as your ability to work with complex data sets and tools. Include relevant keywords and phrases to help your resume pass through applicant tracking systems (ATS) and reach the hiring manager.

🛠 Technology Stack & Web Infrastructure

Data Integration Tools:

Talend, Informatica, Pentaho, Apache Airflow, AWS Glue, Azure Data Factory
Programming Languages: SQL, Python, R, Java, C++
Data Warehousing & Big Data:
- Amazon Redshift, Google BigQuery, Microsoft Azure Synapse, Hadoop, Spark
- Database Management Systems: MySQL, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, Cassandra
Data Analysis & Visualization:
- Tableau, Power BI, Qlik, Matplotlib, Seaborn, D3.js
- Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Trend Analysis & Reporting:
- R, Python, SQL, Excel, Tableau, Power BI
- Statistical Analysis: R, Python, SPSS, SAS, Stata
Operating Systems: Windows, Linux, macOS
Version Control: Git, SVN, Mercurial
Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Containerization: Docker, Kubernetes, Amazon ECS, Azure AKS, Google GKE
Infrastructure as Code (IaC): Terraform, CloudFormation, Azure Resource Manager (ARM), Google Cloud Deployment Manager (GCDM)
Continuous Integration/Continuous Deployment (CI/CD): Jenkins, CircleCI, Travis CI, GitLab CI/CD, AWS CodePipeline, Azure DevOps, Google Cloud Build
Monitoring & Logging: Prometheus, Grafana, ELK Stack, Datadog, New Relic, Splunk
Security & Compliance: NIST, CIS, ISO 27001, SOC 2, PCI DSS, HIPAA, FISMA

📝 Enhancement Note: Based on the company's focus on defense and intelligence, as well as its commitment to data integration, analysis, and management, candidates can expect to work with a wide range of data integration tools, programming languages, and data warehousing and big data platforms. Familiarity with these tools and technologies is essential for success in this role.

👥 Team Culture & Values

Data Integration & Management Values:

Accuracy & Reliability: Ensure accurate and reliable data integration, processing, and analysis to support effective decision-making and mission-critical operations.
Collaboration & Communication: Foster a culture of collaboration and effective communication to facilitate knowledge sharing, continuous learning, and teamwork.
Innovation & Adaptability: Encourage innovation and adaptability to stay ahead of emerging trends, technologies, and threats in the data integration and management landscape.
Security & Compliance: Uphold strict security and compliance protocols to protect sensitive data and ensure the integrity of mission-critical systems.

Collaboration Style:

Cross-Functional Integration: Work closely with other teams, including cybersecurity, operational integration, and data analytics, to ensure effective data processing, analysis, and management.
Code Review & Peer Programming: Encourage code review and peer programming to ensure the quality, security, and maintainability of data integration, analysis, and management processes.
Knowledge Sharing & Mentoring: Foster a culture of knowledge sharing and mentoring to support the professional development of team members and promote a shared understanding of best practices and emerging trends.

📝 Enhancement Note: Based on the company's focus on defense and intelligence, as well as its commitment to collaboration and innovation, candidates can expect a team culture that emphasizes knowledge sharing, continuous learning, and professional development. A strong commitment to security, compliance, and mission-critical operations is also essential for success in this role.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Silos & Integration: Address data silos and integration challenges by developing and implementing effective data integration strategies, tools, and processes.
Data Quality & Confidence: Ensure data quality and confidence by developing and implementing quality and confidence methods, as well as data validation and cleansing processes.
Data Governance & Compliance: Establish and maintain data governance and compliance frameworks to protect sensitive data and ensure the integrity of mission-critical systems.
Emerging Technologies: Stay up-to-date with emerging trends, technologies, and best practices in data integration, analysis, and management to ensure the team's continued success and relevance.

Learning & Development Opportunities:

Data Integration & Management Training: Participate in training and development opportunities focused on data integration, analysis, and management to enhance your skills and knowledge in these areas.
Conferences & Events: Attend industry conferences, events, and webinars to network with other professionals, learn about emerging trends, and gain insights into best practices and innovative solutions.
Certifications & Credentials: Pursue relevant certifications and credentials, such as the Certified Data Integration Specialist (CDIS), Certified Data Management Professional (CDMP), or Certified Analytics Professional (CAP) designations, to demonstrate your commitment to professional development and enhance your credibility in the field.

📝 Enhancement Note: Based on the company's focus on defense and intelligence, as well as its commitment to professional development, candidates can expect a wide range of learning and development opportunities focused on data integration, analysis, and management. These opportunities may include training and development programs, conferences and events, and certifications and credentials designed to enhance your skills and knowledge in these areas.

💡 Interview Preparation

Technical Questions:

Data Integration & Management: Prepare for technical questions related to data integration, analysis, and management, including your approach to identifying, coordinating, and harvesting relevant data sources, as well as your experience with data integration tools, programming languages, and data warehousing and big data platforms.
Data Analysis & Visualization: Brush up on your data analysis and visualization skills, and be prepared to discuss your approach to extracting insights from data and communicating them effectively.
Trend Analysis & Reporting: Review your trend analysis and reporting skills, and be prepared to discuss your approach to identifying vulnerabilities and recommending mitigation strategies.

Company & Culture Questions:

Company Culture: Research the company's culture, values, and mission to demonstrate your understanding of the organization and your alignment with its goals and objectives.
Team Dynamics: Familiarize yourself with the team's structure, dynamics, and priorities to demonstrate your understanding of the role and your ability to contribute to the team's success.
Mission-Critical Operations: Prepare for questions related to mission-critical operations, data security, and compliance to demonstrate your understanding of the role's importance and your commitment to supporting the team's mission and objectives.

Portfolio Presentation Strategy:

Data Integration Projects: Highlight your ability to identify, coordinate, and harvest relevant data sources by including examples of data integration projects and the tools and techniques you employed.
Data Analysis & Visualization: Showcase your data analysis and visualization skills by including examples of your work and the insights you've derived from data.
Trend Analysis & Reporting: Demonstrate your ability to identify trends, analyze data, and make data-driven recommendations by including examples of trend analysis and reporting projects.

📝 Enhancement Note: To prepare for the technical interview, focus on your data integration, analysis, and management skills and experience, as well as your ability to work with complex data sets and tools. Include relevant keywords and phrases in your responses to help demonstrate your technical proficiency and alignment with the role's requirements. For company and culture questions, research the organization's values, mission, and priorities to demonstrate your understanding of the role and your alignment with the team's goals and objectives.

📌 Application Steps

To apply for this Database Administrator 3 - COBRA role:

Resume Optimization: Tailor your resume to highlight your relevant data integration, analysis, and management skills and experience, as well as your ability to work with complex data sets and tools. Include relevant keywords and phrases to help your resume pass through applicant tracking systems (ATS) and reach the hiring manager.
Portfolio Customization: Customize your portfolio to showcase your data integration, analysis, and management skills and experience, as well as your ability to work with complex data sets and tools. Include examples of your work and the insights you've derived from data to demonstrate your technical proficiency and alignment with the role's requirements.
Technical Interview Preparation: Prepare for the technical interview by brushing up on your data integration, analysis, and management skills and experience, as well as your ability to work with complex data sets and tools. Include relevant keywords and phrases in your responses to help demonstrate your technical proficiency and alignment with the role's requirements. Research the company's values, mission, and priorities to demonstrate your understanding of the role and your alignment with the team's goals and objectives.
Company Research: Research the company's culture, values, and mission to demonstrate your understanding of the organization and your alignment with its goals and objectives. Familiarize yourself with the team's structure, dynamics, and priorities to demonstrate your understanding of the role and your ability to contribute to the team's success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data integration, analysis, and management industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Database Administrator 3 -COBRA