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28 results for Entry Level Software Engineer in Princeton, NJ
- King of Prussia, Pennsylvania
- onsite
- Permanent / Full Time
- 165000 - 185000 USD / Yearly
- We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
- 2026-09-24T00:00:00Z
- Morristown, New Jersey
- remote
- Permanent / Full Time
- 135000 - 163000 USD / Yearly
- <p>A leading infrastructure and transportation services group is seeking a Senior Power BI Developer to design and own our enterprise semantic layer and deliver high-impact reporting for the Enterprise Reporting & Data Warehouse (ERDW) platform. This hands-on role sets the standard for data modeling, DAX, and report performance—turning complex data from Databricks and other sources into accurate, trusted insights that drive executive business decisions.</p><p><br></p><p><strong>Keys to the Role:</strong></p><p><strong></strong></p><ul><li>Hands-on experience with enterprise data platforms like <strong>Databricks</strong> or <strong>Snowflake</strong>.</li><li>Proficiency in <strong>semantic modeling</strong> and writing advanced <strong>DAX</strong> queries.</li><li>Proven track record of designing and deploying <strong>paginated reports</strong> (pixel-perfect reporting).</li><li>Direct experience executing full-scale ecosystem <strong>migrations to Databricks and Power BI</strong>.</li></ul><p><br></p><p><strong>RESPONSIBILITIES:</strong></p><p><br></p><ul><li><strong>Semantic Layer & DAX:</strong> Design enterprise-grade star-schema semantic models. Build advanced DAX measures, calculation logic, time intelligence, and calculation groups.</li><li><strong>Reporting & UX:</strong> Build interactive dashboards and paginated, print-ready reports (Power BI Report Builder/PBIRS via XMLA endpoints). Apply WCAG accessibility and responsive design.</li><li><strong>CI/CD & DevOps:</strong> Manage Power BI projects using PBIP format in source control (Azure DevOps/GitHub). Maintain Git-integrated workspaces, deployment pipelines, and automated validation.</li><li><strong>Performance & Governance:</strong> Optimize performance via VertiPaq analysis, query folding, aggregations, incremental refresh, composite models, and DAX tuning. Enforce RLS/OLS, sensitivity labels, capacity management, and endorsements.</li><li><strong>Data Integration & Strategy:</strong> Partner with Data Engineering to shape data from Databricks and Microsoft Fabric using Power Query/M and SQL. Define BI standards, document data lineage, mentor developers, and leverage AI-assisted development tools.</li></ul><p><br></p>
- 2026-09-08T00:00:00Z
- Philadelphia, Pennsylvania
- onsite
- Permanent / Full Time
- 100000 - 150000 USD / Yearly
- We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization.<br><br>Responsibilities:<br>• Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI.<br>• Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting.<br>• Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric.<br>• Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs.<br>• Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions.<br>• Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability.<br>• Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights.<br>• Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.
- 2026-09-16T00:00:00Z