[Hiring] Senior Data Engineer @Concurrency

Role Description

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.

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.

Requirements

• 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.

Benefits

• Flexible work schedules.
• Competitive compensation.
• Comprehensive benefits for employees and their families.
• Access to recognition programs.
• Comprehensive training opportunities to thrive both professionally and personally.