W2 - Snowflake Data engineer

Senior Data Engineer – Snowflake

Job Type: Contract | Experience: 10+ Years

Job Description

We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, Python, Data Vault, and enterprise data integration to design and deliver scalable data solutions supporting analytics, reporting, data science, and AI initiatives.

Key Responsibilities

• Design and develop scalable cloud data pipelines, data lakes, and enterprise data platforms.
• Build data ingestion, transformation, cleansing, standardization, deduplication, and data quality processes.
• Design enterprise data models using Data Vault methodology.
• Develop solutions using relational, NoSQL, and API-based data integration.
• Implement data governance, quality, metadata, lineage, security, and monitoring practices.
• Collaborate with business and technology teams on requirements, architecture, and solution design.
• Apply Git, DevOps, CI/CD, Agile, and modern software engineering practices.
• Provide technical leadership, mentor engineers, and establish engineering standards.

Required Skills

• 10+ years of Data Engineering experience
• Snowflake
• AWS: S3, AWS CLI, Lambda, DynamoDB
• Python
• Data Vault modeling
• dbt
• Qlik Replicate
• IBM InfoSphere DataStage
• IBM CP4D (Cloud Pak for Data)
• Enterprise ETL/ELT, data integration, migration, and API development
• Data quality, governance, metadata, lineage, and security
• Git, DevOps, CI/CD, and Agile

Preferred

• Insurance business/data domain experience, especially P&C insurance
• Experience with enterprise analytics, ML, and AI data platforms
• Strong architecture, leadership, communication, and mentoring skills
• Bachelor's degree in Computer Science, Information Systems, or related field