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
SQL, ETL
Years of Experience Needed
4