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Parsons

Digital infrastructure and security solutions provider

Data Warehouse/Microsoft Fabric Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$88.4k - $154.7kRemote

About the Job

Requirements

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

Responsibilities

  • Design, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles.
  • Build and manage ETL/ELT pipelines to ingest and transform data from 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 relational databases, cloud platforms, APIs, SharePoint, flat files, and enterprise applications.
  • Support data preparation and modeling 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 traditional ETL tools and modern cloud-based data integration tools.
  • Document data models, pipeline processes, and system architecture.
  • 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.

Desired Qualifications

  • Experience working within the Microsoft Azure data ecosystem, including Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Microsoft Fabric, and 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.

About the Company

Parsons

Digital infrastructure and security solutions provider

Parsons provides digitally enabled solutions in national security, defense, and global infrastructure. Its work spans government and commercial clients, offering services in systems and software engineering, quality assurance, compliance, and security, along with large-scale infrastructure projects and advanced technology implementations. The company helps clients by delivering long-term, contract-based engagements that include AI readiness, data preparation for AI applications, and secure, reliable systems. A key differentiator is its breadth across diverse markets and its emphasis on rigorous systems engineering, QA, compliance, and security to ensure the integrity of critical operations while harnessing AI to improve efficiency and safety. Parsons’ goal is to solve complex security and infrastructure challenges through measurable, value-driven solutions and long-lasting partnerships with clients.

Company size
10,001+
Company stage
IPO
Headquarters
Chantilly, VA
Founded
1944

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