1. SCOPE OF ROLE:

The Data Engineer is responsible for building and maintaining a governed, analytics-ready data environment within Microsoft Fabric. This role designs and supports modern data pipelines that ingest, transform, and migrate data for enterprise analytics while ensuring high standards of data quality, metadata management, lineage, and cataloging. The Data Engineer plays a key role in establishing trust in data through strong governance practices and clear documentation.

In addition, the role focuses on analytics and BI enablement, including the development and optimization of semantic models and close collaboration with BI teams to support Power BI reporting and self-service analytics. The ideal candidate brings strong SQL and data modeling skills, hands-on experience with Microsoft Fabric and related cloud data platforms, and the ability to work cross-functionally with technical and business stakeholders to deliver reliable, well-governed data solutions that support the organization’s analytics strategy.

1. ESSENTIAL DUTIES & RESPONSIBILITIES:

• Support and uphold the organization’s data governance framework, ensuring compliance with enterprise standards.
• Collect, organize, and manage metadata for enterprise datasets to support analytics, governance, and Microsoft Fabric migration initiatives.
• Design and implement data pipelines that enable data ingestion, transformation, and migration into Microsoft Fabric.
• Build, maintain, and optimize semantic models for analytics, reporting, and self-service BI.
• Collaborate with BI teams to support Power BI report development, including dataset optimization and performance tuning.
• Ensure data quality, lineage, and cataloging practices are consistently implemented and maintained.
• Contribute to documentation, standards, and governance processes that support data literacy and platform sustainability.
• Work cross-functionally with analytics, governance, business owners, and application teams to deliver high-quality, governed data solutions.

1. REQUIREMENTS:

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Information Systems, Computer Science, or 5+ years of equivalent experience.
• Proficiency in SQL, Python, or other scripting languages for data engineering tasks.
• Proven experience with metadata collection and management.
• Experience building scalable ETL/ELT data pipelines.
• Hands-on experience developing semantic models for analytics and reporting.
• Experience supporting Power BI report development and optimization.
• Strong understanding of Microsoft Fabric architecture and components.
• Familiarity with data governance principles including quality, lineage, and stewardship.
• Hands-on experience with data modeling (star and snowflake schemas).
• Ability to collaborate effectively across technical and business teams.

PREFERRED QUALIFICATIONS

• Experience with Microsoft Purview for metadata management and governance workflows.
• Knowledge of data security, compliance, and privacy standards.
• Experience with Fabric Data Factory, Azure Databricks, Synapse Analytics, or similar tools.
• Understanding of Azure Data Lake Storage and cloud-based analytics platforms.
• Experience contributing to data governance documentation or data literacy initiatives

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Attention to detail with a focus on data quality and consistency.

S:US IS AN EQUAL OPPORTUNITY EMPLOYER

Join a team of employees who cares about the wellbeing of others. We’re proud to offer a comprehensive benefits package designed to support your wellbeing and development. From health and wellness resources to generous PTO, professional development, and more, explore all that we offer on our Benefits Page and see how S:US invests in you.

We believe in fostering a culture built on our core values:  respect, integrity, support, maximizing individual potential and continuous quality improvement. 

S:US is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. S:US is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities, including allowance of the use of services animals. To request reasonable accommodation or if you believe such a request was improperly handled or denied, contact the Leave Team at MyMedicalLeave@sus.org.