Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer (Contract)
Brookfield, WI
Live, first seen by us 48 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Contract · Part-time — employment source
Employment type Contract | Part-time
Employment type in the employer’s posting: Contract | Part-time
From the employer’s posting
What you’ll work on
Full postingDesign, build and optimize scalable data solutions on Fabric and Azure
Translate business and technical requirements into data models and implementation plans
Develop and maintain Fabric Data Factory pipelines, dataflows and notebooks
Build and support Lakehouse architectures using Bronze, Silver and Gold layers
Develop ELT/ETL solutions using SQL, PySpark, Python and Fabric notebooks
From the employer’s posting
Design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies.
Partner with business and technical stakeholders to gather requirements and translate them into technical designs, data models, and implementation plans.
Develop and maintain Fabric Data Factory pipelines, dataflows, notebooks, and orchestration processes for reliable data ingestion and transformation.
Build and support Lakehouse architectures leveraging Bronze, Silver, and Gold (Medallion) layers to improve data quality, governance, and analytics readiness.
Develop ELT/ETL solutions using SQL, PySpark, Python, and Fabric notebooks to transform and enrich enterprise data.
What you’ll bring
All qualificationsCore experience
- Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics.
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
- Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices.
- Knowledge of OneLake, shortcuts, semantic models, and Fabric-native architecture patterns.
- Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies.
- Experience supporting AI, machine learning, or advanced analytics workloads.
Qualification wording
Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics.
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices.
Knowledge of OneLake, shortcuts, semantic models, and Fabric-native architecture patterns.
Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies.
Experience supporting AI, machine learning, or advanced analytics workloads.
Education & alternatives
What Will Set You Apart - Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience. - Knowledge of OneLake, shortcuts, semantic models, and Fabric-native architecture patterns.
About Concurrency
We're not just tech consultants; we are forward thinkers with a purpose.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 17, 202648 days ago
- Recorded sightings
- 27
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 48
Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
Concurrency is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- PySpark
Where the posting names them
- Build and support Lakehouse architectures leveraging Bronze, Silver, and Gold (Medallion) layers to improve data quality, governance, and analytics readiness. - Develop ELT/ETL solutions using SQL, PySpark, Python, and Fabric notebooks to transform and enrich enterprise data. - Create and optimize data models that support reporting, self-service analytics, AI, and machine learning initiatives.
- Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices. - Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies. - Strong SQL development skills, including stored procedures, data transformation logic, and performance optimization.
- Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies. - Strong SQL development skills, including stored procedures, data transformation logic, and performance optimization. - Knowledge of dimensional modeling, star schemas, Data Vault, and other analytical data modeling techniques.
What You'll Do - Design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies. - Partner with business and technical stakeholders to gather requirements and translate them into technical designs, data models, and implementation plans.
- Create and optimize data models that support reporting, self-service analytics, AI, and machine learning initiatives. - Support migrations from legacy data platforms, on-premises databases, and third-party systems into Microsoft Fabric and Azure data services. - Implement data quality, monitoring, security, and governance practices that align with enterprise standards.
What You'll Need - Over 2 years of experience designing and delivering modern data solutions on Microsoft Azure and/or Microsoft Fabric. - Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics.
- Experience supporting AI, machine learning, or advanced analytics workloads. - Familiarity with Azure Synapse Analytics, Azure Data Lake Storage, and related Azure data services. - Experience with DevOps practices including Git, CI/CD pipelines, and infrastructure automation.
- Ability to gather business requirements and translate them into source-to-target mappings, data models, and technical solutions. - Experience developing semantic models, reports, and dashboards using Power BI. - Understanding of data governance, data quality, security, and performance considerations within cloud data platforms.
Your next step
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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
Who We Are
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Gold Partner and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.
Who We’re Looking For
We’re excited to add a Data Engineer to our Cloud, Data & AI Solutions Team. In this role, you’ll work with a team of customer-focused professionals who are committed to defining technical strategy, architecting, designing, and delivering end-to-end digital transformation. You'll demonstrate strong technical competence and business acumen through engaging in senior-level technology decision-making discussions related to agility, business value, data warehousing, and cloud-oriented data solutions.
At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt.
What You'll Do
-
Design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies.
-
Partner with business and technical stakeholders to gather requirements and translate them into technical designs, data models, and implementation plans.
-
Develop and maintain Fabric Data Factory pipelines, dataflows, notebooks, and orchestration processes for reliable data ingestion and transformation.
-
Build and support Lakehouse architectures leveraging Bronze, Silver, and Gold (Medallion) layers to improve data quality, governance, and analytics readiness.
-
Develop ELT/ETL solutions using SQL, PySpark, Python, and Fabric notebooks to transform and enrich enterprise data.
-
Create and optimize data models that support reporting, self-service analytics, AI, and machine learning initiatives.
-
Support migrations from legacy data platforms, on-premises databases, and third-party systems into Microsoft Fabric and Azure data services.
-
Implement data quality, monitoring, security, and governance practices that align with enterprise standards.
What You'll Need
-
Over 2 years of experience designing and delivering modern data solutions on Microsoft Azure and/or Microsoft Fabric.
-
Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics.
-
Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices.
-
Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies.
-
Strong SQL development skills, including stored procedures, data transformation logic, and performance optimization.
-
Knowledge of dimensional modeling, star schemas, Data Vault, and other analytical data modeling techniques.
-
Ability to gather business requirements and translate them into source-to-target mappings, data models, and technical solutions.
-
Experience developing semantic models, reports, and dashboards using Power BI.
-
Understanding of data governance, data quality, security, and performance considerations within cloud data platforms.
What Will Set You Apart
-
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
-
Knowledge of OneLake, shortcuts, semantic models, and Fabric-native architecture patterns.
-
Experience supporting AI, machine learning, or advanced analytics workloads.
-
Familiarity with Azure Synapse Analytics, Azure Data Lake Storage, and related Azure data services.
-
Experience with DevOps practices including Git, CI/CD pipelines, and infrastructure automation.
-
Consulting or professional services experience with direct client engagement and solution delivery.
Concurrency is committed to revolutionizing consulting by embracing diverse perspectives, fostering collaboration, and promoting resilience. Our workplace is both innovation-driven and enjoyable. We provide flexible work schedules, competitive compensation, and comprehensive benefits for our employees and their families. Additionally, all team members have access to recognition programs, comprehensive training opportunities to thrive both professionally and personally.
Employment type
Contract | Part-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Brookfield, WI
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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