
Data Warehouse Engineer (Microsoft Fabric)
Parsons Services Company
11m ago • Remote
Mid
Remote
88,400 - 154,700 USD/yr
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Quick Facts
Role: Data Warehouse Engineer (Microsoft Fabric)
Focus: Enterprise data warehouse solutions for analytics, reporting, and application development
Description
Design, develop, and maintain scalable data warehouse solutions using modern data warehousing principles. Build ETL/ELT pipelines, implement dimensional data models optimized for analytics, and integrate data from multiple sources into centralized, analytics-ready environments. Support performance, data quality, documentation, and collaboration with analytics and application teams—primarily in the Microsoft Azure ecosystem.
Responsibilities
Design, develop, and maintain enterprise data warehouse solutions
Build and manage ETL/ELT pipelines to ingest and transform structured and unstructured data
Develop and maintain dimensional data models for analytics and reporting
Write efficient, scalable SQL queries and optimize database performance
Integrate data from relational databases, cloud platforms, APIs, SharePoint, and flat files
Support data preparation and modeling for Power BI
Implement data validation, monitoring, and quality control processes
Collaborate with analytics and application development teams for reporting and application needs
Document data models, pipeline processes, and system architecture
Requirements
High school diploma
3+ years of experience in data engineering or data warehousing
Extensive experience using Microsoft Fabric
Strong SQL skills (query optimization, indexing, performance tuning)
Experience with dimensional data modeling and data warehouse architectures
Experience developing ETL/ELT pipelines and data integration workflows
Experience with SSIS
Experience with relational databases such as SQL Server or Azure SQL
Experience with structured and semi-structured formats, including Parquet
Benefits
Medical, dental, vision
Paid time off
Employee Stock Ownership Plan (ESOP)
401(k)
Life insurance
Flexible work schedules and holidays
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