Database Developer

Requirements:

• Bachelors degree.
• At least five years of experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles.
• Strong Oracle SQL and PL/SQL development experience, including packages, procedures, functions, triggers, views, materialized views, sequences, complex queries, performance tuning, and tools such as SQL Developer and SQL*Loader.
• Ability to design, develop, optimize, troubleshoot, and maintain databases for enterprise and mission-critical applications.
• Experience building ETL solutions, data transformation and batch-processing frameworks, and data migration initiatives.
• Experience with AWS data services, including Amazon Redshift, Amazon RDS, Amazon S3, and related analytics and integration technologies.
• Experience with Matillion ETL or similar cloud-native data integration, orchestration, and pipeline platforms.
• Strong knowledge of relational database architecture, 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 with database testing, including unit tests, regression tests, data validation, and deployment verification.
• Experience supporting production releases, operational incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments.
• Ability to resolve database, data quality, integration, and application performance issues across distributed environments.
• Experience with CI/CD pipelines, release automation, and DevSecOps practices for database and application deployments.
• Experience working in Agile environments using Scrum, Kanban, or similar methodologies.
• Experience with source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps.
• Experience using approved AI-assisted tools or automation for development, testing, troubleshooting, documentation, code review, knowledge management, and productivity improvements.
• Understanding of responsible AI, AI governance, cybersecurity, data privacy, and secure AI adoption in enterprise or government settings.
• 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 priorities, work independently or collaboratively, and adapt to evolving technologies.
• Eligibility to be sponsored for a Public Trust Clearance.
• Nice to have: experience supporting Federal Government or large enterprise applications, including grants, financial, case management, regulatory, or workflow-driven systems.
• Nice to have: experience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar integration and migration tools.
• Nice to have: experience with PostgreSQL, SQL Server, MySQL, or other enterprise databases, and with cloud or application modernization and database migration.
• Nice to have: familiarity with Federal security and compliance practices, including audit logging, least-privilege access, encryption-aware data handling, and FISMA, NIST, or FedRAMP controls.
• Nice to have: experience in data warehousing, dimensional modeling, reporting, business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight, and data platforms for analytics, AI, or machine learning.
• Nice to have: familiarity with AWS cloud-native application and service deployment architectures.
• Preferred Oracle certifications include Oracle Certified Professional (OCP), Oracle Database Administrator Certified Professional, or Oracle SQL Certified Associate.
• Nice to have: experience evaluating emerging AI technologies, modern AI data architectures, vector databases, RAG, AI agents, knowledge management systems, enterprise AI platforms, and AI-driven modernization or automation initiatives.
• Nice to have: hands-on experience with AI development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, or Gemini.

Responsibilities:

• Design, develop, and support Oracle database solutions, including database objects, with a focus on performance, scalability, and maintainability.
• Develop, enhance, and optimize SQL and PL/SQL for applications, reporting, integrations, and business operations.
• Create and maintain migration scripts, schema changes, release packages, and automated database deployment processes.
• Build and support ETL workflows, data transformations, validation frameworks, and batch-processing solutions.
• Analyze data models, schemas, enterprise data flows, ERDs, and mappings to address business and application needs.
• Develop and support cloud-based integration, reporting, and analytics solutions using AWS services such as Redshift, S3, and RDS.
• Build and maintain data pipelines with Matillion ETL and other enterprise integration platforms.
• Troubleshoot database issues, data quality concerns, integration challenges, and performance bottlenecks.
• Tune and optimize database performance using execution plans, indexing, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools.
• Partner with software engineers, architects, DevOps engineers, and business stakeholders to deliver reliable, scalable data solutions.
• Participate in Agile practices, including planning, backlog refinement, daily standups, code reviews, reviews, and retrospectives.
• Advance DevSecOps and CI/CD initiatives through automated testing, deployment, monitoring, and compliance practices for database solutions.
• Create and maintain technical documentation, including database designs, mappings, interface specifications, operational procedures, and support guides.
• Develop and support unit, regression, and data validation testing, as well as automated testing for SQL, PL/SQL, ETL, and migration changes.
• Support production operations, releases, incident investigation, root-cause analysis, and post-deployment validation for mission-critical systems.
• Use approved AI development tools to support SQL and PL/SQL development, code review, troubleshooting, documentation, testing, and knowledge sharing.
• Identify and implement opportunities to apply AI and intelligent automation to development, data engineering, deployments, monitoring, operations, and team productivity.
• Support data governance, security, privacy, and compliance through access controls, auditability, secure data handling, and applicable Federal standards.
• Assess emerging database, cloud, AI, and data engineering technologies and recommend improvements to platform capabilities and team productivity.

Technologies:

• AI
• AI Agents
• AWS
• Redshift
• Azure
• BitBucket
• Business Intelligence
• ChatGPT
• CI/CD
• Cloud
• Copilot
• Cursor
• DevSecOps
• DevOps
• ETL
• Flyway
• Git
• GitHub
• GitLab
• Informatica
• Support
• Kanban
• Liquibase
• Machine Learning
• MySQL
• ODI
• Oracle
• PostgreSQL
• Power BI
• RAG
• SQL
• Security
• Tableau
• Talend

More

We are Take2, a technology and people-solutions provider partnering with Federal and commercial clients to address their business challenges through tailored solutions and our proprietary People Cloud. We are hiring a Database Developer to support application modernization, database development, systems integration, analytics, and operations. This is a remote role for someone located in the United States, with work scheduled on East Coast hours.

last updated 44 week of 2026