Azure Data Engineer: Scale Data Pipelines & Lakehouses

Trinity Health Group; Spokane (WA); Hybrid; USD 110.000 - 150.000; Vollzeit

Zusammenfassung

NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. You will ingest data from multiple sources into a governed lakehouse and develop curated datasets to support Power BI reporting and self-service analytics.

The role emphasizes automation, scalable pipelines, and reliable data products across enterprise environments, collaborating with IT leadership and the data team to enable advanced analytics and digital

Qualifikationen

• Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field preferred (or equivalent experience).
• At least 3 years of experience as a Data Engineer, ideally in professional services or large enterprise environments.
• Demonstrable expertise in building data pipelines and cloud data solutions on Azure.
• Experience with Microsoft Fabric is strongly preferred.

Aufgaben

• Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Azure Databricks, and related technologies.
• Develop and maintain ETL/ELT processes that support business reporting, analytics, and machine learning.
• Build ingestion patterns for a range of sources, including business applications, APIs, relational databases, and file-based feeds.
• Implement scheduling, orchestration, automation, and error handling so recurring data loads run reliably with minimal manual intervention.
• Implement and support Microsoft Fabric solutions, including dataflows, lakehouses, data warehouses, and real-time analytics features.
• Organize data in OneLake using a layered approach that keeps raw, enriched, and curated data clearly separated and traceable.
• Develop and maintain curated datasets and semantic models that support Power BI reporting and self-service analysis.
• Monitor capacity, refresh schedules, and job performance, and tune them as adoption and data volumes grow.
• Optimize data architectures for performance, reliability, and cost efficiency in cloud environments.
• Apply dimensional modeling and other established modeling patterns so data is understandable, reusable, and consistent across reporting.
• Write and tune advanced SQL, along with Python or PySpark notebooks, for complex transformation work.
• Monitor, troubleshoot, and improve data workflows, resolving failures and performance bottlenecks at the source rather than working around them.
• Ensure high-quality, secure, and compliant data management practices in line with firm policy, client contractual obligations, and applicable data protection regulations.
• Implement data quality rules, validation, and monitoring so issues are caught before they reach reporting or decision-making.
• Apply access controls, sensitivity handling, and lineage practices in partnership with the resources supporting data governance.
• Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver data solutions aligned with business goals.
• Support the migration and modernization of legacy data systems into Azure and Microsoft Fabric environments.
• Translate technical options and trade-offs into terms business stakeholders can act on.
• Produce and maintain technical documentation for data pipelines, architecture, and engineering best practices.
• Follow source control and deployment practices, including Git-based development and structured promotion across environments.

Kenntnisse

Azure data services

SQL

Python/PySpark

Data modeling

Data governance

Analytics storytelling

Communication

Ausbildung

Bachelor's degree in CS or related

Tools

Microsoft Fabric

Data Factory

Synapse Analytics

Databricks

Power BI

Git

Azure DevOps

Data Lake

Jobbeschreibung

NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. You will ingest data from multiple sources into a governed lakehouse and develop curated datasets to support Power BI reporting and self-service analytics.

The role emphasizes automation, scalable pipelines, and reliable data products across enterprise environments, collaborating with IT leadership and the data team to enable advanced analytics and digital