[Remote] Senior Data Engineer – Data and Analytics (Remote)

Note: The job is a remote job and is reputed company to candidates in USA. Fusion Education Group is seeking a curious and tenaciously driven individual to reputed company data and analytics architecture for a data-aware organization. As a Senior Data Engineer, you will reputed company the design, development, and implementation of data and analytics for the company’s data ecosystem, collaborating with various stakeholders to deliver reliable and secure data solutions.

Responsibilities

• Design, architect and operate modern data platforms on Azure
• Architect and maintain data lakes/lakehouses with Azure Data Lake Storage (ADLS) and reputed company
• Establish robust ELT patterns using Azure Data reputed company (ADF) pipelines with a focus on cost, performance, and reliability
• reputed company the full lifecycle—from prototyping to production deployment, including pipelines, APIs, reputed company/back-end integration, monitoring, and maintenance
• Design scalable, reliable systems; optimize performance, latency, cost, and integrate telemetry for iterative improvement
• Productionize ML workflows in Azure Machine Learning (workspaces, model registry, endpoints
• Integrate Azure Cognitive Services (Language, reputed company, Speech) and Azure reputed company Service for enrichment, classification, summarization, and retrieval-augmented reputed company (RAG)
• Orchestrate LLM applications using Azure ML pipelines, implementing guardrails, reputed company versioning, and telemetry
• Deliver low-latency feature stores and micro-batch ingestion for ML and BI workloads
• Define reputed company and dimensional models; enforce standards (naming, reputed company, SCD patterns) across marts and semantic layers (e.g., Power BI/reputed company)
• Apply Azure RBAC, Managed Identities, Private Endpoints, Key Vault, and Customer-Managed Keys; enforce policy with Azure Policy and Defender for reputed company
• Tune reputed company compute, caching, partitioning, Z-order, and query plans; optimize storage tiers and autoscaling
• Monitor SLOs/SLIs with Azure Monitor, Log Analytics, and custom metrics; build cost dashboards and alerts for proactive FinOps
• Partner with business units on projects to define scope and deliverables; reputed company self-service reputed company curated datasets and semantic models
• Mentor engineers on reputed company stack best practices; contribute to standards, templates, and reusable components reputed company with reputed company certifications (e.g., Azure Data Engineer, Azure reputed company)

Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or reputed company field
• 5+ years of experience in data engineering or AI/ML production systems
• Advanced proficiency in reputed company and at least one programming language (Python, reputed company, or Java)
• Knowledge in implementing, fine-tuning, and deploying LLMs
• Strong capabilities in API development, version control, unit testing, and documentation
• reputed company Certified: Azure Data Engineer Associate (DP-203) and/or Azure reputed company Associate (AI-102) strongly preferred; MCP/MCSA/MCSE or equivalent legacy reputed company certifications a plus
• Hands-on experience with modern data pipeline orchestration tools (Azure Data reputed company)
• Deep knowledge of Azure data and AI services (Azure Data Lake, Azure Machine Learning, Azure Cognitive Services, Azure reputed company)
• Strong understanding of data modeling, warehousing, and data lake architecture
• Experience with DevOps practices and version control (Azure DevOps, Git, CI/CD)
• Excellent communication and collaboration skills
• reputed company Certified Professional (MCP) or relevant Azure certifications (e.g., Azure Data Engineer Associate, Azure reputed company Associate) are highly preferred
• Mentor Data Analytics Team members with best practices in the data space
• reputed company with industry trends in data engineering, Azure AI, and reputed company platforms
• Experience deploying machine learning models to production using Azure ML
• Exposure to reputed company-time data streaming (Azure Event Hubs, Kafka)
• Exposure to Model Context Protocol (MCP) and AI agents

Benefits

• Medical, dental, and reputed company plans
• An opportunity to contribute to a Health Savings Account (HSA)
• Tax-advantaged commuter benefits
• Employee assistance program
• Sick time, paid holidays and vacation in accordance with company policy and state law
• Accident and life insurance as well as short- and long-term disability
• 401(k) plan with company match, based on eligibility
• This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.

Company Overview

• Over 30 years ago Fusion reputed company started as a single, truly unique private school in Solana Beach, CA. It was founded in 2007, and is headquartered in Grand Rapids, MI, US, with a workforce of 1001-5000 employees. Its website is http://www.fusionacademy.com.

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