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Database Engineer Jobs in Washington, DC (NOW HIRING)

Guidehouse

AWS Database Engineer

Mclean, VA · On-site

The AWS Database Engineer will work closely with application developers, architects, DevOps engineers, data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to ...

Lentech Inc

Database Engineer 3

Linthicum, MD · On-site

$192K - $220K/yr

The Database Engineer will direct the development of complex systems using queries, tables, and database storage and retrieval using Cloud methodologies for the design, development, implementation ...

GRVTY

Database Engineer

Annapolis Junction, MD

The Database Engineer provides technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. Develops relational and/or Object ...

Lentech Inc.

Database Engineer 3

Linthicum, MD · On-site

The Database Engineer will direct the development of complex systems using queries, tables, and database storage and retrieval using Cloud methodologies for the design, development, implementation ...

Guidehouse

AWS Database Engineer

Mclean, VA

The AWS Database Engineer will work closely with application developers, architects, DevOps engineers, data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to ...

Reflexive Concepts

Database Engineer II

Linthicum, MD · On-site

The Database Engineer will provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. * Develop or maintain database ...

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All JobsDatabase Engineer JobsDatabase Engineer Jobs in Washington, DC

Database Engineer information

See Washington, DC salary details

$68.3K

$137.8K

$189K

How much do database engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for database engineer in Washington, DC is $137,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a database engineer?

As a database engineer, you work to develop and maintain data solutions and information systems for a company in any industry that requires processing and storage of large amounts of information, including healthcare providers or financial service firms. Because you often deal with sensitive data, you must be familiar with appropriate data protection and encryption processes, as well as relevant regulatory frameworks like HIPAA.

What does a database engineer do?

A Database Engineer is responsible for designing, implementing, and maintaining databases that store and organize data for organizations. They ensure that databases are reliable, secure, and optimized for performance. Their duties often include developing database architecture, writing scripts to automate tasks, troubleshooting issues, and collaborating with other IT professionals. Database Engineers play a key role in managing large volumes of data and supporting business operations through data integrity and availability.

What are the key skills and qualifications needed to thrive as a database engineer?

To thrive as a Database Engineer, you need expertise in database design, management, and optimization, often supported by a degree in computer science or a related field. Proficiency with database platforms like MySQL, PostgreSQL, Oracle, or SQL Server, as well as experience with tools such as SQL, ETL processes, and relevant certifications (e.g., Microsoft Certified: Azure Database Administrator Associate) are typical requirements. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with developers and stakeholders. These skills are crucial for ensuring data integrity, system performance, and supporting business operations through reliable data management.

What are some common challenges faced by database engineers when working with large-scale databases?

Database Engineers working with large-scale databases often encounter challenges such as optimizing query performance, ensuring data consistency across distributed systems, and managing database scalability as data volumes grow. They also need to implement robust backup and recovery solutions to minimize downtime in case of failures. Collaborating closely with application developers and system administrators is essential to address these challenges and maintain database reliability and security.

What is the difference between Database Engineer vs Database Administrator?

AspectDatabase EngineerDatabase Administrator
Primary RoleDesigns, develops, and implements database systems and solutionsMaintains, monitors, and manages existing databases for performance and security
Skills & CertificationsSQL, database design, scripting, certifications like Microsoft Certified: Azure Database Administrator AssociateSQL, backup and recovery, security, certifications like Oracle Certified Professional
Work EnvironmentOften involved in development teams, working on new database solutionsTypically in operations teams, ensuring database stability and performance
Employer & Industry UsageTech companies, finance, healthcare, where database design is neededOrganizations requiring ongoing database management and support

While both roles work with databases, Database Engineers focus on designing and building new database systems, whereas Database Administrators manage and maintain existing databases to ensure optimal performance and security.

Are database engineers in demand?

Database engineers are in high demand due to the increasing reliance on data management and storage across industries. They often require skills in SQL, database design, and familiarity with tools like Oracle, MySQL, or PostgreSQL, making their expertise valuable in many organizations. The role is expected to grow as data-driven decision-making becomes more critical.
More about Database Engineer jobs

What are the most commonly searched types of Database Engineer jobs in Washington, DC?

The most popular types of Database Engineer jobs in Washington, DC are:

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For Database Engineer jobs in Washington, DC, the most frequently searched job titles are:

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The top searched job categories for Database Engineer jobs in Washington, DC are:

Database Engineer jobs near you
Infographic showing various Database Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $137,784 per year, or $66.2 per hour.

AWS Database Engineer

Guidehouse

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:
Systems Engineering (Digital)
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
The AWS Database Engineer will support application development, database engineering, data integration, analytics enablement, and operational database activities for the GrantSolutions platform. This role requires hands-on expertise with Oracle and PostgreSQL database solutions and AWS database services, tools, and components. Responsibilities include designing, developing, testing, maintaining, migrating, securing, monitoring, and optimizing database solutions using Oracle SQL and PL/SQL, PostgreSQL and PL/pgSQL, Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS Database Migration Service (AWS DMS), AWS Schema Conversion Tool (AWS SCT), Amazon CloudWatch, AWS Secrets Manager, AWS Key Management Service (AWS KMS), and related AWS capabilities.
The AWS Database Engineer will work closely with application developers, architects, DevOps engineers, data engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to support mission-critical applications and modernization initiatives. The ideal candidate will be a self-starter with strong analytical and problem-solving skills who can quickly understand complex application data models, independently drive solutions, and deliver high-quality database solutions in an Agile environment.
This role will also support AI-enabled engineering initiatives by applying approved AI-assisted development and automation tools to improve productivity, code quality, documentation, testing, troubleshooting, and software delivery outcomes.
What You Will Do
We are seeking a highly motivated AWS Database Engineer with strong Oracle SQL and PL/SQL expertise, PostgreSQL and PL/pgSQL experience, ETL development experience, and required hands-on experience with AWS database services, migration and schema-conversion tools, monitoring, security, storage, and automation components to support application modernization, database development, systems integration, analytics, and operational support activities.
  • Design, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, and sequences, ensuring high performance, scalability, and maintainability.
  • Develop, enhance, and optimize SQL and PL/SQL code to support application functionality, reporting, system integrations, and business operations.
  • Create and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes.
  • Design, build, and support ETL workflows, data transformation processes, validation frameworks, and batch data processing solutions.
  • Analyze and interpret complex data models, database schemas, enterprise data flows, ERDs, and data mappings to support business and application requirements.
  • Design, build, configure, administer, and support AWS database and data solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS DMS, AWS SCT, Amazon CloudWatch, AWS Secrets Manager, AWS KMS, and related AWS services and components.
  • Develop, administer, and optimize PostgreSQL solutions on Amazon RDS, including schemas, functions, procedures, triggers, views, extensions, indexing, partitioning, query tuning, parameter configuration, backup and recovery, high availability, and operational troubleshooting.
  • Implement and support AWS database migration, replication, and modernization activities across Oracle and PostgreSQL platforms, including schema assessment and conversion, full-load and change data capture workflows, endpoint configuration, data validation, cutover planning, and post-migration verification.
  • Configure and operate AWS database monitoring, logging, backup, recovery, high-availability, encryption, credential-management, and access-control capabilities using Amazon CloudWatch, RDS monitoring features, AWS Secrets Manager, AWS KMS, IAM, and related services.
  • Build and maintain data integration pipelines using Matillion ETL and other enterprise data integration platforms.
  • Troubleshoot and resolve database issues, data quality concerns, application integration challenges, and performance bottlenecks across environments.
  • Perform database performance tuning and optimization using execution plans, indexing strategies, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools.
  • Collaborate closely with software engineers, architects, DevOps engineers, and business stakeholders to deliver scalable and reliable data solutions.
  • Participate in Agile development activities, including sprint planning, backlog refinement, daily standups, code reviews, sprint reviews, and retrospectives.
  • Contribute to DevSecOps and CI/CD initiatives by implementing automated testing, deployment, monitoring, and compliance practices for database solutions.
  • Create and maintain technical documentation, including database designs, data mappings, interface specifications, operational procedures, and support guides.
  • Develop and support database unit testing, regression testing, data validation testing, and automated test support for SQL, PL/SQL, ETL, and data migration changes.
  • Support production operations, release deployments, incident troubleshooting, root-cause analysis, and post-deployment validation for mission-critical database and application components.
  • Leverage approved AI-powered development tools to accelerate SQL and PL/SQL development, code review, troubleshooting, documentation, testing, and knowledge-sharing activities.
  • Identify and implement opportunities to apply AI and intelligent automation to database development, data engineering, deployment, monitoring, operational support, and engineering productivity.
  • Support data governance, security, privacy, and compliance requirements by implementing least-privilege access, auditability, encryption-aware data handling, and controls aligned with Federal standards such as FISMA, NIST, and FedRAMP where applicable.
  • Continuously evaluate emerging database, cloud, AI, and data engineering technologies and recommend improvements that enhance platform capabilities and team productivity.

What You Will Need:
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor's degree required.
  • Minimum of five (5) years of experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles.
  • Strong experience in Oracle SQL and PL/SQL development, including packages, procedures, functions, triggers, views, materialized views, sequences, complex queries, performance tuning, and Oracle development tools such as SQL Developer and SQL*Loader.
  • Proven ability to design, develop, optimize, troubleshoot, and maintain database solutions supporting enterprise and mission-critical applications.
  • Experience designing and implementing ETL solutions, data transformation processes, batch processing frameworks, and data migration initiatives.
  • Required: Hands-on experience designing, configuring, administering, monitoring, securing, and troubleshooting AWS database solutions using Amazon RDS for Oracle, Amazon RDS for PostgreSQL, Amazon Redshift, Amazon S3, AWS Database Migration Service (AWS DMS), AWS Schema Conversion Tool (AWS SCT), Amazon CloudWatch, AWS Secrets Manager, AWS Key Management Service (AWS KMS), IAM, and related AWS database components.
  • Required: Hands-on experience with PostgreSQL and Amazon RDS for PostgreSQL, including SQL and PL/pgSQL development, database administration, performance tuning, indexing, extensions, parameter groups, backup and recovery, high availability, security, monitoring, and troubleshooting.
  • Required: Experience implementing AWS database migration and replication solutions, including source and target endpoint configuration, schema conversion, full-load and change data capture tasks, validation, monitoring, troubleshooting, and cutover support.
  • Required: Experience applying AWS database operational controls for high availability, backup and recovery, performance monitoring, logging, encryption, secrets rotation, least-privilege access, and infrastructure automation.
  • Experience with Matillion ETL or similar cloud-native data integration, orchestration, and data pipeline platforms.
  • Strong understanding of relational database architecture, logical and physical data modeling, ERDs, normalization, indexing, query optimization, transaction management, and referential integrity.
  • Experience analyzing and supporting complex enterprise application databases, schemas, and data models.
  • Experience developing or supporting database unit tests, regression tests, data validation checks, and deployment verification activities.
  • Experience supporting production releases, operational incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments.
  • Ability to troubleshoot and resolve database, data quality, integration, and application performance issues across distributed environments.
  • Experience supporting database and application deployments using CI/CD pipelines, release automation, and DevSecOps best practices.
  • Experience working in Agile software development environments utilizing Scrum, Kanban, or similar methodologies.
  • Experience using source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps.
  • Experience using approved AI-assisted tools or automation practices to support code generation, optimization, testing, troubleshooting, documentation, code reviews, knowledge management, and engineering productivity improvements.
  • Understanding of Responsible AI principles, AI governance, cybersecurity, data privacy, and secure AI adoption within enterprise or government environments.
  • Familiarity with AI-enhanced SDLC practices, AI-assisted DevSecOps, intelligent automation, and emerging AI engineering patterns.
  • Strong analytical, problem-solving, communication, and organizational skills, with the ability to manage competing priorities, work independently or collaboratively, and continuously adapt to emerging database, cloud, and AI technologies.

What Would Be Nice To Have
  • Experience supporting Federal Government or large-scale enterprise applications.
  • Experience supporting Grants Management, Financial Management, Case Management, Regulatory, or workflow-driven systems.
  • Experience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar data integration and migration tools.
  • Experience with Amazon Aurora PostgreSQL-Compatible Edition, SQL Server, MySQL, or other enterprise database platforms.
  • Experience supporting cloud modernization, database migration, or application modernization initiatives.
  • Knowledge of Federal data security and compliance practices, including audit logging, least-privilege access, encryption-aware data handling, and security controls aligned with FISMA, NIST, or FedRAMP requirements.
  • Experience with data warehousing concepts, dimensional modeling, enterprise reporting, and business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight.
  • Experience supporting data pipelines and data platforms used for analytics, reporting, AI, and machine learning workloads.
  • Familiarity with AWS cloud-native application and service deployment architectures.
  • Oracle certifications preferred, including:

Oracle Certified Professional (OCP)
Oracle Database Administrator Certified Professional
Oracle SQL Certified Associate
  • Experience evaluating and adopting emerging AI technologies to improve software engineering productivity, database development, operational efficiency, and modernization initiatives.
  • Familiarity with modern AI data architectures, vector databases, retrieval-augmented generation (RAG), AI agents, knowledge management systems, and enterprise AI platforms.
  • Experience participating in AI-driven modernization efforts, intelligent automation initiatives, or enterprise data and analytics programs.
  • Hands-on experience with AI-powered development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, Gemini, or similar platforms.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Franci

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