Lead Data Engineer

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UFS Tech

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1991

🔒 Cybersecurity

💳 Fintech

💰 $19.9M Venture Round on 2019-05

Cybersecurity • IT Services • Fintech

UFS Tech is the Technology Outfitter for Community Banks, providing tailored technology solutions and IT managed services that empower community banks to compete effectively with larger national banks. With over 30 years of expertise, UFS Tech focuses on cybersecurity, virtual firewall management, core banking, digital banking, and compliance solutions to help banks manage their technology needs efficiently and securely. The company is committed to collaboration, innovation, and delivering purpose-built solutions tailored to the unique requirements of community banks.

📋 Description

• Design the lakehouse: Apache Iceberg (or similar technology) on object storage, a catalog for table management and per-bank isolation, dbt models, and a query engine • Build secure, least-privilege ingestion from bank systems — log-based CDC where permitted, with query-based and batch/SFTP fallbacks, plus an in-bank collector pattern • Own data modeling for the semantic and metric layer (deposits, concentration, uninsured exposure, asset quality, and peer groups) • Handle schema drift, data quality, and reconciliation; make ingestion observable and recoverable • Partner with the AI/ML team on the structured-query path and with Security on PII classification at landing, in alignment with regulatory data-handling requirements • Document data lineage, transformation logic, and access controls to support audit and exam readiness • Define and enforce data contracts, quality thresholds, and alerting for pipeline failures

🎯 Requirements

• 8–12+ years in data engineering with end-to-end ownership of ingestion through serving, and 2+ years in a lead or senior role • Strong Python and expert SQL; rigorous data modeling for analytics • Hands-on lakehouse experience (Iceberg/Delta/Hudi or equivalent) and modern transformation tooling • Built reliable pipelines from messy operational and transactional source systems • Comfort with CDC mechanics and the realities of pulling from databases you do not control.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work arrangements • Paid time off • Professional development opportunities