Want to know if this job is worth applying to?
Brookfield, Wisconsin, United States
Hybrid
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.
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.
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.
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.
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.
