Junior Data Engineer

About the role

At SynergenX Health, technology and data are at the heart of how we improve patient care and drive business decisions. As one of the nation's leading hormone optimization and wellness organizations, we're investing in a modern Azure-based data platform to support our continued growth.

Responsibilities

• Develop and maintain enterprise ETL/ELT data pipelines.
• Write, optimize, and troubleshoot SQL queries and stored procedures.
• Support enterprise data integration across multiple business systems.
• Build and maintain Power BI datasets and reporting solutions.
• Monitor scheduled data jobs and resolve data quality issues.
• Assist with Azure Data Factory data pipelines and cloud-based data solutions.
• Support Azure SQL databases and data warehouse initiatives.
• Develop basic automation using Python.
• Assist with API integrations and data imports.
• Document technical processes, workflows, and data architecture.
• Participate in Agile planning, testing, and code reviews.
• Collaborate with senior engineers on enterprise data initiatives.
• Continuously develop new technical skills and stay current with Microsoft Azure technologies.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
• 2–3 years of professional Data Engineering or SQL Development experience.
• Experience writing SQL queries and stored procedures.
• Experience supporting or developing ETL/ELT data pipelines.
• Experience with Microsoft SQL Server.
• Working knowledge of Python.
• Experience with Microsoft Power BI.
• Exposure to Microsoft Azure technologies such as Azure Data Factory, Azure SQL Database, or Azure Storage.
• Understanding of relational database concepts and data modeling fundamentals.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written English communication skills with the ability to collaborate effectively across technical and business teams.

Qualifications

• Healthcare data
• Enterprise reporting
• Data governance concepts
• Azure Synapse Analytics (Exposure)
• Azure Databricks (Exposure)

Skills

• Databases: Microsoft SQL Server, Azure SQL Database, SQL Query Development, Stored Procedures, Query Optimization
• Data Engineering: Azure Data Factory, ETL / ELT Development, Data Integration, Data Validation, Data Warehousing Fundamentals
• Programming: SQL, Python, REST APIs, JSON
• Business Intelligence: Microsoft Power BI, Power Query, Basic DAX
• Cloud: Microsoft Azure, Azure Storage
• Version Control: Git, Azure DevOps (Preferred)

Benefits

• Medical, Dental, and Vision Insurance
• 401(k) with Company Match
• Paid Time Off and Paid Holidays
• Company-Paid Life Insurance
• Short & Long-Term Disability
• Employee Assistance Program
• Professional development opportunities
• Stable, rapidly growing healthcare organization
• Exposure to enterprise Azure technologies
• Opportunity to learn from experienced Data Engineers and technical leadership

Pay

$110,000–$125,000 annually

Schedule

Monday–Friday | 8:00 AM – 5:00 PM