Data Engineer

Title: Enterprise Data Platform Engineer / Data Engineer – MS Fabric Job Type: Contract Contract Length: Long-term consulting opportunity Pay Range: $60-$70/hr Start Date: ASAP Location: Hybrid (Boston or Needham, MA – 4 days onsite required) About The Opportunity Our client, a leader in Financial Services, is looking for a skilled Enterprise Data Platform Engineer to join their team for a long-term consulting opportunity. This project involves building a brand-new Enterprise Data Platform in a true greenfield environment, focusing on establishing a scalable, enterprise-ready modern data platform architecture. This is an excellent opportunity for a hands-on engineer who enjoys building foundational platforms from the ground up and working closely with architecture and infrastructure teams. Key Responsibilities & Deliverables This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include: • Designing and implementing end-to-end data ingestion pipelines using Azure services, including API-based ingestion and Azure Data Factory (ADF). • Helping design and build a new enterprise data platform from inception and supporting platform provisioning and enterprise readiness initiatives. • Building and managing lakehouse and data warehouse solutions, applying the medallion architecture (bronze, silver, gold layers). • Developing and optimizing data transformations using PySpark, ensuring scalability, performance, and cost efficiency. • Collaborating with engineering, architecture, and platform teams to contribute to best practices around governance, scalability, security, and operational excellence. Required Skills & Experience: We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have: • Strong Data Engineering experience in modern cloud data environments. • Hands-on experience or strong working knowledge of Microsoft Fabric is highly preferred. Candidates with strong Databricks or Snowflake backgrounds will also be considered. • Proven experience working in Azure for data ingestion and orchestration, with strong experience in Azure Data Factory (ADF). • Proficiency in PySpark for large-scale data transformations and optimization. • Solid understanding of data storage formats (CSV, JSON, and Parquet) and experience with data warehouse and lakehouse architectures. • Practical experience implementing medallion architecture patterns and a strong foundation in data modeling concepts. • Experience working in greenfield or platform build-out environments is highly desirable. • Strong cloud and enterprise architecture mindset. • Strong communication skills to operate effectively in an evolving, cross-functional, and client-facing environment.