Lead Data Engineer

Title: Lead Data Engineer
Location: Remote
Duration: Contract
Job Description Summary Roles Needed:
Senior Data Engineer The supplier will serve the Data Strategy and Operations function within UKS, establishing new data integration patterns into Data 360 from third-party vendors and managing ingestion from existing sources. Engineers will own pipeline monitoring, KPI tracking, and egress management to multiple downstream destinations.

Scope of Work:

• Manage all new data ingestions for UKS operational needs
• Build new data integrations for all new data sources and providers, including third-party data providers
• Manage new data egress patterns to send/share data outputs from Data 360 to multiple destinations
• Ingest new data via existing ingestion pipelines
• Monitor, maintain, and troubleshoot data pipelines
• Track and report statistics including data volume, number of data streams, and other ingestion KPIs Near-Term Priorities (First 30 Days)
• Ingest an additional dataset from Moody's (integration already established)
• Manage other third-party vendor data sources as assigned

Required Skills & Qualifications

• Strong experience in data engineering, ETL (preferably Informatica), and data architecture
• Experience working with Salesforce platforms and data models
• Hands-on experience with Airflow and MuleSoft
• Strong SQL skills with Snowflake and other relational databases
• Experience writing complex Python modules for custom ETL workflows
• Expertise in building batch and real-time data pipelines
• Experience with dbt for data transformation and modeling
• Familiarity with AWS/GCP and distributed/event-driven architectures
• Strong understanding of data modeling, data warehousing, and big data processing
• Experience with data quality, monitoring, and pipeline orchestration frameworks
• Ability to work closely with Product, Data Science, and Analytics teams

Experience working on Salesforce Flows and Apex is a plus