URGENT HIRING

Principal Data Engineer Location:

Detroit, MI Work Model:

Hybrid 3

Days/Week Onsite Experience:

10+ Years Local Metro Detroit Candidates Only

IMPORTANT WORK AUTHORIZATION

No Visa Sponsorship Available Top Skills Snowflake & Cloud Data Engineering AWS S3, Lambda, Dynamo

DB, AWS CLI

Data Vault Modeling & Enterprise Data Architecture Python & Data Engineering Automation dbt, Qlik Replicate, DataStage & CP4D Data Integration, Data Pipelines & API Development Data Governance, Metadata & Data Lineage Responsibilities Design, build, and optimize modern enterprise data pipelines supporting analytics, reporting, data science, and AI use cases. Develop cloud-based data solutions including data lakes, cloud data warehouses, and enterprise data platforms. Design scalable and auditable data structures using Data Vault modeling . Build data ingestion, transformation, cleansing, standardization, deduplication, and data quality processes. Develop large-scale data integration solutions across relational and NoSQL environments. Build API-based data services and support data migration across distributed platforms. Establish data quality, validation, monitoring, metadata, and lineage processes. Partner with business and technology teams to define requirements, integration needs, and solution designs. Apply modern software engineering, Git, DevOps, and Agile practices. Provide technical leadership, mentor engineers, and establish engineering and architecture standards. Support data governance, management, security, analytics, ML, and AI initiatives. Preferred Experience Insurance business data domain Snowflake analytics/data warehouse environments AWS cloud data engineering dbt / Qlik Replicate / InfoSphere DataStage / CP4D AI/ML and LLM-related data use cases Enterprise Data Governance & Data Security Large-scale enterprise data platforms