Data Engineer

Position: Data Engineer Location: 100% Remote Overview The Data Engineer will help build and optimize data infrastructure to support the firm’s Data & Analytics strategy under the Chief Technology Officer. The role focuses on designing, developing, and maintaining scalable data pipelines and systems that enable accurate reporting, analytics, and AI-driven insights across the organization. Design, develop, and optimize ETL/ELT pipelines for enterprise data integration and delivery. Collaborate with data scientists, AI engineers, analysts, and architects to ensure high-quality data for analytics and reporting. Integrate data from multiple sources (databases, APIs, external systems). Apply data validation, cleansing, and transformation techniques to ensure accuracy and consistency. Implement and monitor data quality checks, performance tuning, and governance standards. Support modernization efforts aligned with Application Modernization, AI, and Data strategic pillars. Communicate technical findings clearly to both technical and non-technical audiences. Required Qualifications

8+ years in Data Engineering, with deep experience in:

• Data modeling, ETL/ELT, integration, warehousing, analytics, and governance.

Technical skills:

Languages: C#, Python, SQL, Java Microsoft Stack: SQL Server (IaaS/PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Databricks, Power BI, Fabric Other tools: Informatica Cloud (CIH, DIH, CDGC, MDM, DQ), Snowflake

• Strong communication and analytical thinking skills.
• Ability to work flexibly across time zones (U.S. & Ireland).
• Preferred / Nice-to-Have
• Certifications in listed tools (Azure, Informatica, Snowflake, etc.)
• Background in professional services, accounting, or managed services.
• Previous consulting or client-facing experience.