Data Engineer
Core
Design, build, and maintain scalable data infrastructure, pipelines, and warehousing solutions to support enterprise analytics, reporting, and M&A data integration.
Role type
Data Engineer
Builds
Scalable data pipelines, data warehouses, and integration frameworks for analytics and reporting
Domain
Rail and transit industry; Financial data integration and M&A
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT tools, data modeling (star/snowflake), cloud data platforms (Azure/AWS), relational databases, data visualization tools, CI/CD pipelines
Preferred skills
Experience with financial data (GL, P&L, balance sheets), ERP/accounting platforms (NetSuite, Deltek Ajera, QuickBooks), medallion/lakehouse frameworks, data lineage
Technologies
Azure, AWS, PowerBI, Tableau, Qlik, NetSuite, Deltek Ajera, QuickBooks
Responsibilities
Build and optimize ETL/ELT pipelines for data ingestion and transformation; Implement and maintain scalable data warehouse solutions; Ensure data accuracy, consistency, and security across systems; Support M&A data integration, mapping, and schema harmonization; Collaborate with analysts to optimize data models for reporting
Seniority
Mid-level (2-5 years experience)
