Database Developer (SQL)
Argyllinfotech
Position: Database Developer (SQL)
Location: Sterling, VA office
Type: Hybrid: 2 days per week
Client: REI Systems
Visa: GC, USC, H4EAD, H1B (Prefer work permit who can join directly)
Interview: In-person interview (prefer local candidate)
Responsibilities
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Design and develop complex SQL queries, stored procedures, functions, views, triggers, and database objects.
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Develop scalable database solutions supporting enterprise applications.
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Perform SQL query tuning and database performance optimization.
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Analyze execution plans and identify performance bottlenecks.
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Support data migration, transformation, cleansing, validation, and reconciliation.
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Develop ETL/data integration processes.
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Collaborate with application developers, DBAs, analysts, and QA engineers.
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Troubleshoot production data and application issues.
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Develop scripts supporting automated database deployments.
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Ensure database solutions follow security, data integrity, and coding standards.
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Assist with data modeling and database design.
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Use AI-assisted development tools to accelerate query development, documentation, troubleshooting, and performance analysis while validating generated code.
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Support data structures and pipelines required for AI-enabled features, analytics, semantic search, or machine learning applications where applicable.
Qualifications
Required Qualifications
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7+ years of SQL/database development experience.
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Advanced SQL development skills.
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Strong experience with SQL Server and/or Oracle.
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Experience with stored procedures, functions, views, triggers, indexing, and query optimization.
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Knowledge of relational database design and data modeling.
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Experience troubleshooting high-volume enterprise databases.
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Familiarity with ETL and data integration.
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Understanding of source control and CI/CD practices.
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Familiarity with AI-assisted software development and modern data platforms.
Preferred Qualifications
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Federal/FDA/HHS experience.
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Experience with Azure SQL/AWS database services.
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Python or scripting experience.
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Experience supporting AI/ML data workloads.
Clearance: Ability to obtain and maintain a clearance is preferred.
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