Database Management Specialist

Job Summary

The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace. This position supports the management, administration, and optimization of the company’s data infrastructure, focusing on cloud services, database management, data analysis, and reporting solutions. The role involves hands-on work with Azure, SQL Server, Power BI, and Apache Tomcat, as well as utilizing R Studio and Data Bricks for data analysis and modeling. It requires technical proficiency and the ability to work both independently and collaboratively on various data-related projects.

Key Responsibilities

• Administer and support Azure cloud resources, including Azure SQL Database, Blob Storage, and Azure Data Lake, ensuring optimal functionality and performance.
• Manage and configure Azure-based solutions for data storage, security, and access control.
• Implement automation scripts for managing and provisioning Azure resources using Azure CLI and PowerShell.
• Monitor and optimize SQL Server instances for efficiency and reliability.
• Perform database backups, restore operations, and ensure database integrity.
• Assist with migrations and upgrades of SQL Server environments to cloud-based platforms (Azure SQL).
• Assist in the deployment and maintenance of applications using Apache Tomcat.
• Ensure Apache Tomcat servers are running optimally and troubleshoot any issues that arise.
• Contribute to the development of Data Bricks pipelines, helping to implement data transformation and data engineering processes.
• Work with data teams to build scalable ETL (Extract, Transform, Load) processes using Azure Databricks.
• Create and maintain Power BI reports, dashboards, and data visualizations that provide actionable insights to business teams.
• Collaborate with business users to understand their reporting needs and design intuitive visualizations that help with data-driven decision-making.
• Use R Studio for data analysis, statistical modeling, and generating insights from large datasets.
• Work with the data science team to build predictive models and statistical reports that meet business needs.
• Document processes, workflows, and configurations to ensure consistent and effective data management practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field.
• 3 years of experience in data management, with hands-on experience in Azure, SQL Server, Power BI, Apache Tomcat, R Studio, and Data Bricks.
• Proficient in Azure Administration, including Azure SQL Database, Azure Blob Storage, and Azure Data Lake.
• Strong knowledge of SQL Server Database Administration, including performance tuning, backups, and restores.
• Experience working with Apache Tomcat for application deployments and integration.
• Practical experience with Power BI for report creation, dashboards, and data visualization.
• Proficiency in R Studio for data analysis and statistical modeling.
• Basic experience with Azure Databricks for data engineering and big data processing workflows.
• Ability to troubleshoot and resolve data management issues effectively.
• Strong teamwork abilities, with the capacity to communicate technical information to non-technical stakeholders.

Desirable Skills

• Experience with Azure DevOps for continuous integration and deployment (CI/CD) in data management projects.
• Familiarity with automation tools (e.g., PowerShell, Python) for script-based management of data resources.
• Knowledge of Data Governance principles and best practices.
• Experience with data migration and cloud-based database management (particularly moving SQL Server databases to Azure SQL).
• Microsoft Certifications in Azure, Power BI, or SQL Server are a plus.

Washington, DC, is the nation’s capital, known for its rich history, vibrant culture, and diverse community. It offers a dynamic environment for professionals seeking to make an impact in their field.

Benefits
PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.  

Equal Opportunity Employer (EEO) 
PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply. 

Americans Disabilities Act (ADA) 
The physical and mental requirements described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Must be able to perform the essential physical functions of the position, including sitting, standing, walking, stooping, kneeling, and lifting up to 25 pounds, with or without reasonable accommodation. 

Candidate Privacy
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/  

AI Recruiting Disclosure 
We use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.