Pay
Lower than most similar jobs
$88.4K–$155K against $127K–$190K, the middle half of what similar US postings state.
From 2,163 postings in the last year. Stated ranges, not salaries paid.
Data Warehouse/Microsoft Fabric Engineer
US - Remote (Any Location)
Live, first seen by us today- Pay
$88,400–154,700/yearAnnual period assumed — pay source
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!
Read the full posting- Work setting
Remote — work setting source
Listed location: US - Remote (Any Location)
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles
Design and implement data warehouse schemas, including fact and dimension tables
Build and manage ETL/ELT pipelines to ingest and transform data from various structured and unstructured sources
From the employer’s posting
Key Responsibilities: Design, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles Experience using Microsoft Fabric
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
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
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in data engineering, data warehousing, or related field.
- Strong proficiency in SQL, including query optimization, indexing, and performance tuning
- Experience working within Microsoft Azure data ecosystem, including tools such as:- Azure Data Factory
- Experience supporting Power BI semantic models and analytics environments
- Experience designing and implementing data warehouse architectures and dimensional data models
- Experience working with data lake architectures and modern cloud data platforms
Qualification wording
3+ years of experience in data engineering, data warehousing, or related field.
Strong proficiency in SQL, including query optimization, indexing, and performance tuning
Experience working within Microsoft Azure data ecosystem, including tools such as:- Azure Data Factory
Experience supporting Power BI semantic models and analytics environments
Experience designing and implementing data warehouse architectures and dimensional data models
Experience working with data lake architectures and modern cloud data platforms
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 6, 2026today
- Recorded sightings
- 1
- Reposted
- once since Aug 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Parsons, jobs usually come down by about day 28.
From 11,327 similar postings that came down, and 64 of Parsons’s. Coming down is not always a hire.
Parsons is hiring
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
- 11% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Power BI
- SQL Server
- PySpark
Where the posting names them
- 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
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. Key Responsibilities:
- 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
- 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
- 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 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
- Experience working within Microsoft Azure data ecosystem, including tools such as:- Azure Data Factory - Azure SQL Database - Azure Synapse Analytics
- 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
- 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
Preferred: - Experience working within Microsoft Azure data ecosystem, including tools such as:- Azure Data Factory - Azure SQL Database
- Azure SQL Database - Azure Synapse Analytics - Microsoft Fabric
- Microsoft Fabric - Azure Data Lake Storage - Experience supporting Power BI semantic models and analytics environments
- 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
- 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
- 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
- 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
Your next step
Complete your application on parsons.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Parsons
- People
- About 10,600 in 2025, up 3% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as PSN.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
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.
Key Responsibilities:
- 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
Education and Experience
- High School Diploma
- 3+ 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
Security Clearance Requirement:
NoneThis position is part of our Critical Infrastructure team.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 - $154,700.00We 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.Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!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/.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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!
- Location & working pattern
US - Remote (Any Location)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Experience working in consulting or project-based environments Security Clearance Requirement: None