Overview
SQL Engineer (Microsoft SQL Server)
Remote l Project-Based (5 Months) l Midshift/Nightshift
Are you a SQL Engineer who enjoys solving complex data problems, optimizing performance, and building reliable data systems at scale? We’re looking for someone who thrives in high-volume, data-driven environments and wants to make a real impact—supporting analytics, compliance, and mission-critical reporting systems.
Responsibilities
What You’ll Do:
Database Development & Performance:
Design and maintain SQL Server schemas, stored procedures, views, and functions
Optimize complex queries across large, multi-program datasets
Monitor and improve performance (indexes, execution plans, partitioning)
Reporting & Data Support:
Build reporting-ready datasets for dashboards, compliance, and analytics
Support reporting tools like SSRS and Power BI
Enable accurate tracking of performance, outcomes, and operational metrics
Data Integrity & Compliance:
Ensure data consistency and referential integrity
Implement rules for auditability and compliance
Work within regulated environments (e.g., HIPAA, SOC2)
Integration & Data Movement:
Collaborate with engineers on API-driven and application integrations
Support data pipelines using ADF, Fabric, or similar tools
Build and maintain ETL/ELT processes and data transformations
Engineering Collaboration:
Work in Agile teams with developers and product managers
Follow best practices in code review, CI/CD, and version control
Contribute to data architecture and modeling decisions
Tools You’ll Work With:
Microsoft SQL Server (T-SQL)
SSRS, Power BI
Azure SQL, Synapse, Data Factory
ETL/ELT pipelines
Agile, CI/CD, version control
Qualifications
What We’re Looking For:
Must-Have:
3–6+ years in SQL Development / Database Engineering
Strong expertise in Microsoft SQL Server (T-SQL, performance tuning)
Experience with complex queries, stored procedures, and optimization
Familiarity with ETL pipelines and reporting tools (SSRS, Power BI)
Solid understanding of data modeling (transactional & reporting)
Nice to Have:
Experience with Azure SQL, Synapse, or Data Factory
Exposure to data lakes / modern data platforms (Fabric, etc.)
Background in healthcare, government, or compliance-heavy environments
Experience with API integrations and data exchange
Required Skills
SQL, ETL
Years of Experience Needed
4