Need 12+ Years Snowflake Data Engineer - 3 Months Contract to Hire - Addison, TX - Only independent visa - Onsite Interview
0 views
Skip to first unread message
Bhargav M
Jul 14, 2026, 10:12:48 AM (8 days ago) Jul 14
to
Snowflake Data Engineer
3 months Contract to Hire | On-Site, Addison TX
Only independent visa, Onsite interview is required
Ideal Candidate Personality / Soft Skills
Strong collaborator who works well with cross-functional teams.
Comfortable operating in a brand-new, evolving environment and helping build processes from the ground up.
Ownership mindset with the ability to manage, build, and expand data solutions.
Proactive in managing pipeline health, data quality, and data governance experience.
Adaptable, hands-on, and capable of balancing engineering execution with operational support.
The Role
Client is building a cloud-native analytics platform on Azure and Snowflake to support our business operations. The Data Engineer owns the pipelines that make it run — ingesting data from our core source systems, transforming it through a Bronze/Silver/Gold medallion architecture, and keeping it reliable in production. This is hands-on engineering work: you will build, not just advise.
What You'll Own
Build and maintain ELT pipelines in Azure Data Factory (ADF) ingesting data disparate data sources into Azure Data Lake Storage Gen2
Implement Snowflake Bronze → Silver → Gold layer transformations: incremental loads, SCD Type 2, and fact/dimension modeling aligned to business requirements
Write and optimize T-SQL against SQL Server for performant source extraction without disrupting operational workloads
Maintain pipeline monitoring, alerting, and error recovery — pipelines support 24/7 revenue operations and uptime matters
Handle PHI/PII data in full compliance with HIPAA: field masking, access controls, and audit-ready data handling at every layer
Collaborate with our AI/ML engineer to ensure Silver layer data structures are ML-ready and consistently documented
Must-Have Skills
Azure Data Factory and ADLS Gen2 — production pipeline experience, not just training exercises
Snowflake — tasks, streams, incremental loading, query optimization, RBAC basics
SQL Server / T-SQL — strong enough to write efficient extraction queries against a complex operational schema
Advanced SQL — window functions, CTEs, SCD Type 2 implementation
ETL/ELT patterns — incremental load design, idempotency, error handling
Nice to Have
Healthcare data experience
Python for transformation utilities or pipeline testing
dbt for Silver/Gold layer management
Azure DevOps / CI/CD for pipeline deployment
Qualifications
5-8+ years of data engineering experience with at least 2 years on Azure
Demonstrated Snowflake production experience
Bachelor's in CS, Information Systems, or equivalent experience
Experience Working with regulated data (HIPAA, PCI, or similar)
3 months Contract to Hire | On-Site, Addison TX
Only independent visa, Onsite interview is required
Ideal Candidate Personality / Soft Skills
Strong collaborator who works well with cross-functional teams.
Comfortable operating in a brand-new, evolving environment and helping build processes from the ground up.
Ownership mindset with the ability to manage, build, and expand data solutions.
Proactive in managing pipeline health, data quality, and data governance experience.
Adaptable, hands-on, and capable of balancing engineering execution with operational support.
The Role
Client is building a cloud-native analytics platform on Azure and Snowflake to support our business operations. The Data Engineer owns the pipelines that make it run — ingesting data from our core source systems, transforming it through a Bronze/Silver/Gold medallion architecture, and keeping it reliable in production. This is hands-on engineering work: you will build, not just advise.
What You'll Own
Build and maintain ELT pipelines in Azure Data Factory (ADF) ingesting data disparate data sources into Azure Data Lake Storage Gen2
Implement Snowflake Bronze → Silver → Gold layer transformations: incremental loads, SCD Type 2, and fact/dimension modeling aligned to business requirements
Write and optimize T-SQL against SQL Server for performant source extraction without disrupting operational workloads
Maintain pipeline monitoring, alerting, and error recovery — pipelines support 24/7 revenue operations and uptime matters
Handle PHI/PII data in full compliance with HIPAA: field masking, access controls, and audit-ready data handling at every layer
Collaborate with our AI/ML engineer to ensure Silver layer data structures are ML-ready and consistently documented
Must-Have Skills
Azure Data Factory and ADLS Gen2 — production pipeline experience, not just training exercises
Snowflake — tasks, streams, incremental loading, query optimization, RBAC basics
SQL Server / T-SQL — strong enough to write efficient extraction queries against a complex operational schema
Advanced SQL — window functions, CTEs, SCD Type 2 implementation
ETL/ELT patterns — incremental load design, idempotency, error handling
Nice to Have
Healthcare data experience
Python for transformation utilities or pipeline testing
dbt for Silver/Gold layer management
Azure DevOps / CI/CD for pipeline deployment
Qualifications
5-8+ years of data engineering experience with at least 2 years on Azure
Demonstrated Snowflake production experience
Bachelor's in CS, Information Systems, or equivalent experience
Experience Working with regulated data (HIPAA, PCI, or similar)
|
Email tracked with Mailsuite · Opt out |
07/14/26, 09:58:22 AM |
Reply all
Reply to author
Forward
0 new messages