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Snowflake Data Engineer

$150k
Full-time

Business Centric Technology

Our Addison, TX-based client is seeking a Data Engineer to build and maintain data pipelines for a cloud-native analytics platform on Azure and Snowflake. Responsibilities include data ingestion, transformation using Bronze/Silver/Gold medallion architecture, and production reliability. The role is initially fully onsite, with potential for two remote days per week after a few months and is available as a six-month contract-to-hire or direct hire.

COMP: Up to $150K, dependent on candidate's experience

WHAT OUR CLIENT OFFERS:

  • Competitive salary with performance-based bonus opportunities
  • Comprehensive health, dental, and vision insurance
  • 401(k) plan with 3% non-discretionary company contribution
  • Paid holidays, PTO, and professional development support
  • A collaborative and growth-oriented work environment

WHAT YOU'LL DO:

  • 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.

WHAT YOU'LL BRING:

  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
  • 5 8+ years of data engineering experience, including 2+ years with Azure and hands-on production experience with Azure Data Factory, ADLS Gen2, and Snowflake.
  • Strong SQL Server/T-SQL skills, including complex queries, CTEs, window functions, and SCD Type 2, plus experience with Snowflake tasks, streams, incremental loading, query optimization, and RBAC.
  • Strong understanding of ETL/ELT patterns, idempotency, error handling, and working with regulated data (HIPAA, PCI, or similar).
  • Preferred: Healthcare data experience, Python for data transformation and pipeline testing, dbt for Silver/Gold layer management, and Azure DevOps/CI/CD for pipeline deployment.

APPLY TODAY! CP # 8595

Vacancy posted 1 day ago
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