Principal Data Engineer

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, DynamoDB, 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