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Data Engineer - Long-Term Contract
Build and maintain data pipelines and infrastructure that power data-driven decisions across the firm. You'll work within the Data Science team, collaborating with analysts, scientists, and stakeholders to ensure high-quality, accessible data.
Responsibilities
Design, build, and optimize ETL pipelines using Microsoft Fabric and Medallion Architecture
Identify and integrate new data sources; assemble complex datasets aligned to business needs
Improve infrastructure scalability, data delivery, and process automation
Monitor data quality, troubleshoot issues, and enforce governance and security standards
Support business intelligence tools and data models; collaborate with Executive Leadership, App Dev, Marketing, and Finance
Maintain documentation; participate in monthly on-call rotation
Requirements
Bachelor's in Computer Science, Data Engineering, IT, or equivalent
3–5 years in data engineering
Strong T-SQL; hands-on experience with Microsoft Fabric, Power BI, and data warehouse concepts
Python/PySpark experience
Ability to manage multiple projects and analyze large datasets
Nice to Have: Microsoft Fabric certification, R/PowerShell, NoSQL/APIs, ML/data mining experience
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