🚀 Senior Data Engineer (Azure) – Contract-to-Hire

🚀 Senior Data Engineer (Azure) – Contract-to-Hire 📍 Location: Milwaukee, WI (Hybrid – several days onsite per week) 💼 Employment Type: Contract (3–6 months) with potential Contract-to-Hire ❌ Note: We are not working with third-party firms or vendors for this role. About the Role We’re looking for a hands-on Data Engineer who thrives at the intersection of data architecture, advanced analytics, and machine learning. This role is a unique opportunity to help shape scalable data ingestion, governance, and ML integration solutions that power real-time insights across our enterprise. As a Senior Data Engineer, you’ll work directly with our technical leaders and business stakeholders, designing data platforms and pipelines that drive adoption, accelerate decision-making, and fuel innovation. If you have deep experience in Azure Data Explorer (ADX), Azure Data Factory (ADF), and ML pipeline integration with Azure ML Studio—we want to hear from you. What You’ll Do • Azure Data Explorer (ADX): • Build ADX as a data warehouse for telemetry & operational data • Model and optimize telemetry & time-series data schemas • Design ingestion strategies for both streaming (Event Hub, Stream Analytics) and batch workflows • Implement anomaly detection, governance practices, and continuous data export to Azure Data Lake • Write efficient KQL queries for analytics and transformations • Azure Data Factory (ADF): • Develop scalable, reliable end-to-end pipelines from SQL, ADX, and Data Lake • Implement robust error handling, monitoring, and alerting systems • Optimize pipelines for both performance and cost efficiency • Apply DevOps best practices (CI/CD, versioning, automated deployments) • Machine Learning Integration: • Build data pipelines feeding curated data into ML endpoints in Azure ML Studio • Automate real-time and batch inference workflows • Deliver feature engineering pipelines for ML training and scoring • Implement governance and data validation practices across ML pipelines What We’re Looking For • 7+ years in Data Engineering or related disciplines (integration, modeling, optimization, data quality) • Strong background in Azure Data Explorer, ADF, KQL, and Azure ML Studio • Track record of enabling data-driven ML solutions at scale • Hands-on DevOps experience for data and ML pipelines • Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field (Master’s preferred) • A collaborative mindset and proven ability to work closely with technical and business stakeholders Why Join Us? • Work with cutting-edge Azure technologies on high-impact, enterprise-scale projects • Hybrid environment with strong collaboration in Milwaukee • Opportunity to move from contract into a long-term role • Be part of a team that values innovation, precision, and governance in data engineering 👉 If you’re ready to take on a mission-critical Azure data engineering role and bring real value through modern pipelines and ML-driven insights, we’d love to connect.