SQL Engineer

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

Years of Experience Needed