Senior Data Engineer – Contract

🔥 16 hours ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Concurrency, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1989

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Concurrency, Inc. is a premier technology consulting company that aids enterprises in leveraging artificial intelligence, cloud services, and Microsoft technologies to enhance business operations and drive innovation. As a top Microsoft AI partner, Concurrency focuses on AI strategy, seamless IT integration, and security, offering solutions like secure cloud adoption, ServiceNow implementation, and business applications modernization. They cater to industries such as manufacturing, financial services, healthcare, retail, and energy. Through transformative digital operations and deep partnerships with clients, Concurrency delivers actionable insights and education across diverse sectors, ensuring sustained business performance and growth.

📋 Description

• 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 supporting 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 aligned with enterprise standards • Engage in technical strategy, architecture, design, and delivery of end-to-end digital transformation • Participate in senior-level technology decision-making related to agility, business value, data warehousing, and cloud-oriented data solutions

🎯 Requirements

• 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

🏖️ Benefits

• Flexible work schedules • Competitive compensation • Comprehensive benefits for employees and their families • Recognition programs • Comprehensive training opportunities • Professional and personal development opportunities