DBT Snowflake Data Engineer

🚨 Hiring: DBT Snowflake Data Engineer
📍 Location: Spring, TX
💼 Work Model: Onsite
Job Type: Long-Term W2 Contract
⚠️ Important Requirements:
Day-1 onsite in Spring, TX.
In-person client interview (60–90 minutes) is mandatory.
Strong hands-on DBT, Snowflake, and Enterprise Dimensional Data Modeling experience is essential.
Must have DevOps and observability experience.
We are looking for a highly experienced, hands-on Data Engineer with expert-level skills in DBT, Snowflake, and enterprise dimensional data modeling. The ideal candidate should combine strong engineering expertise with architectural leadership and experience building scalable enterprise analytics solutions.
🔹 Required Qualifications
Expert-level hands-on experience with DBT development, testing, and deployment.
Strong experience with Snowflake architecture, performance tuning, and SQL optimization.
Proven experience designing and implementing enterprise-scale dimensional data models.
Strong expertise in star-schema modeling, including fact, dimension, bridge, and aggregate tables.
Deep understanding of data warehousing and modern analytics engineering principles.
Experience establishing data modeling standards, best practices, and reusable development patterns.
Strong knowledge of DevOps and observability tools such as GitHub and Datadog.
Experience with data quality, governance, documentation, and performance optimization.
Ability to lead technical design decisions and mentor engineering teams.
Excellent communication and stakeholder management skills.
🔹 Preferred Skills
Azure Data Factory (ADF), Azure Synapse, or Microsoft Fabric.
Python for data engineering, automation, and analytics.
Data Vault and advanced data modeling methodologies.
DP-203, SnowPro, or equivalent cloud data certifications.