Data Warehouse/Microsoft Fabric Engineer

Parsons Corporation
United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$88,400.0 - $154,700.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Business Analytics Applications Microsoft Azure Databases Data Validation Data Cleansing Information Engineering Data Integration Data Integrity Extract Transform Load (ETL) Dataspaces Data Structures
+35 more
Data Warehousing Relational Databases Database Queries Document-Oriented Databases JSON Python (Programming Language) Microsoft SQL Server SQL Azure Performance Tuning Query Optimization Power BI Azure Data Lake Microsoft SharePoint Software Engineering SQL Databases SQL Server Integration Services Systems Architecture Parquet Data Processing Scripting Enterprise Software Applications Cloud Platform System Azure Data Factory Power Platform Integration Database Performance Indexer Backend Microsoft Fabric Data Lakes Pyspark Semi-structured Data Data Management Azure Synapse Analytics Data Pipelines Powerapps

Job description

We are seeking a Data Warehouse Engineer to design, develop, and maintain scalable data warehouse solutions that support analytics, reporting, and application development. This role will focus on building efficient data pipelines, implementing structured data models, and integrating data from various source systems into centralized, analytics-ready environments., The selected candidate will work closely with analytics and application developers, as well as project teams, to ensure data platforms are reliable, high-performance, and aligned with business and project requirements. This role requires strong SQL skills, experience with cloud-based data platforms (preferably Microsoft Azure), and a solid understanding of modern data warehousing best practices., * Design, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles

  • Experience using Microsoft Fabric
  • Build and manage ETL/ELT pipelines to ingest and transform data from various structured and unstructured sources
  • Develop and maintain dimensional data models optimized for analytics and reporting
  • Write efficient, scalable SQL queries and optimize database performance
  • Integrate data from systems such as relational databases, cloud platforms, APIs, SharePoint, flat files, and enterprise applications
  • Support data preparation and modeling needs for analytics platforms such as Power BI
  • Implement data validation, monitoring, and quality control processes to ensure data integrity
  • Collaborate with analytics and application development teams to support reporting and application requirements
  • Support cloud-based data platform development, primarily within the Microsoft Azure ecosystem
  • Work with both traditional ETL tools and modern cloud-based data integration tools
  • Document data models, pipeline processes, and system architecture

Typical Assignments:

  • Design and implement data warehouse schemas, including fact and dimension tables
  • Develop ETL/ELT pipelines using Azure Data Factory, SSIS, Microsoft Fabric, or similar tools
  • Build and maintain Azure SQL databases, data lakes, Synapse, or Fabric-based warehouse environments
  • Transform and integrate data from multiple enterprise systems into centralized warehouse environments
  • Work with structured and semi-structured data formats, including Parquet files, CSV, and JSON
  • Optimize data structures and queries to improve performance and scalability
  • Support Power BI development teams by providing clean, structured, and performant data models
  • Assist in the design and implementation of cloud-based data platform architecture
  • Support backend data integration for Power Platform solutions, including Power BI and Power Pages
  • Troubleshoot and resolve data pipeline, performance, and integration issues
  • Assist in establishing and maintaining data engineering and data warehousing best practices

Requirements

  • High School Diploma
  • 3-7+ years of experience in data engineering, data warehousing, or related field.
  • Extensive experience using Microsoft Fabric
  • Strong proficiency in SQL, including query optimization, indexing, and performance tuning
  • Experience designing and implementing data warehouse architectures and dimensional data models
  • Experience developing ETL/ELT pipelines and data integration workflows
  • Experience with SQL Server Integration Services (SSIS)
  • Experience working with relational databases such as SQL Server, Azure SQL, or similar platforms
  • Experience working with structured and semi-structured data formats, including Parquet files

Preferred:

  • Experience working within Microsoft Azure data ecosystem, including tools such as:
  • Azure Data Factory
  • Azure SQL Database
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Azure Data Lake Storage
  • Experience supporting Power BI semantic models and analytics environments
  • Experience working with data lake architectures and modern cloud data platforms
  • Experience with scripting languages such as Python and PySpark for data processing and automation
  • Experience supporting Power Platform solutions, including Power BI and Power Pages
  • Experience working in consulting or project-based environments

Benefits & conditions

For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people’s quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers’ visions-and to help them see what’s next!

Salary Range: $88,400.00 - $154,700.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.

About the company

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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