Senior Data Platform Engineer - Cloud, Data Vault & AI

TechDigital Group

Detroit (MI)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

TechDigital Group is seeking a Principal Data Engineer to design, build, and evolve modern data solutions for analytics, ML, and AI within an Insurance Data & Analytics focus. You will lead cloud-based data platforms and scalable pipelines across structured and unstructured data.

The ideal candidate has 10+ years in data engineering, expertise in Snowflake and AWS, and strong data governance, API development, and Data Vault skills. Insurance domain knowledge is a significant plus.

Qualifications

  • 10+ years of progressive experience in data engineering, including analytics-focused data warehouse environments like Snowflake.
  • Hands-on experience delivering cloud-based data platforms on AWS (S3, Lambda, DynamoDB).
  • Expertise in Data Vault data modeling and large-scale data ingestion, transformation, cleansing, and deduplication.
  • Strong Python and scripting skills with Git, DevOps practices, and modern software engineering.
  • Insurance data domain knowledge is a major plus for analytics use cases.

Responsibilities

  • Design, build, and optimize modern data pipelines and enterprise data solutions for analytics, reporting, data science, and AI use cases.
  • Develop cloud-based data engineering solutions including data lakes, warehouses, and platforms.
  • Design scalable data structures using Data Vault to enable auditable, resilient data solutions.
  • Build data ingestion, transformation, preparation, and quality processes across structured and unstructured data sources.
  • Develop robust data integration, API services, and NoSQL/relational data processing at scale.
  • Enable trusted, high-quality data for analytics, ML, and AI-driven capabilities.
  • Collaborate with business and technology teams to define data requirements and align with priorities.
  • Advance Insurance Data and Analytics platform capabilities with scalable engineering and governance-aligned practices.
  • Establish data quality, validation, metadata, lineage, and monitoring processes.
  • Apply Agile methods to deliver scalable, reliable data solutions and promote engineering standards across data platforms.
  • Evaluate tools/tech to improve performance, delivery, and long-term supportability.
  • Mentor engineers and drive strong delivery outcomes across initiatives.

Skills

Snowflake
AWS
dbt
Data Vault modeling
Python
Data governance
API development
DevOps

Education

Bachelor's degree in Computer Science, Information Systems, or a related field

Tools

Qlik Replicate
InfoSphere DataStage
CP4D
AWS Lambda
S3

Job description

TechDigital Group is seeking a Principal Data Engineer to design, build, and evolve modern data solutions for analytics, ML, and AI within an Insurance Data & Analytics focus. You will lead cloud-based data platforms and scalable pipelines across structured and unstructured data.

The ideal candidate has 10+ years in data engineering, expertise in Snowflake and AWS, and strong data governance, API development, and Data Vault skills. Insurance domain knowledge is a significant plus.

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