Senior Data Engineer (Contract)

Concurrency, Inc.; Town of Brookfield (WI); On-site; USD 110,000 - 140,000; Full time

Job summary

Concurrency, Inc. in Wisconsin is seeking a Data Engineer to join our Cloud, Data & AI Solutions Team.

You will design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies. You will collaborate with business and technical stakeholders to translate requirements into technical designs, data models, and implementation plans, while developing Fabric Data Factory pipelines and lakehouse architectures to improve data quality and

Qualifications

• 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.

Responsibilities

• 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.

Skills

Azure

Microsoft Fabric

SQL

Python

PySpark

ELT/ETL design

Data warehousing

Data modeling

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field

Tools

Microsoft Fabric

Azure Data Factory

Power BI

Azure Synapse Analytics

Azure Data Lake Storage

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 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.

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.