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# Snowflake Data Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $90,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Amazon Web Services, Microsoft Azure, Cloud Computing, Cyber Security, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Security, Python (Programming Language), Systems Development Life Cycle, Role-Based Access Control, SQL Stored Procedures, SQL Databases, Scripting, Google Cloud, Cloud Platform System, Snowflake, Star Schema, Data Management, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/snowflake-data-engineer-irving-tx--67e6ff73-5f9b-4ab8-aa14-54f940b957d0

## About the Role

Snowflake Schema, Database Extract Transform and Load (ETL), Data Management, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Information/Data Security (InfoSec), Warehousing, Data Partitioning, Cost Control, Core Technical Skills: Advanced SQL programming, data modeling (dimensional/star schema), and scripting in Python or Scala.

Snowflake Expertise: Hands-on experience with Snowpipe, Streams, Tasks, Stored Procedures, and Snowpark.

Cloud Platforms: Familiarity with cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform.

## Description

Snowflake Data Engineer - focuses on designing, building, and optimizing cloud data warehousing solutions, ELT pipelines, and data architectures

Must Have Technical/Functional Skills

Data Pipeline Development: Build and maintain scalable ELT/ETL data workflows using SQL, Snowpark, and tools like dbt or Fivetran.

Snowflake Administration: Manage schema objects, virtual warehouses, clustering keys, micro-partitioning, and secure data sharing.

Performance & Cost Optimization: Monitor query performance, tune slow-running workloads, and control cloud compute costs.

Data Governance & Security: Implement role-based access control (RBAC), masking policies, and security compliance.

Collaboration: Partner with data analysts, data scientists, and business stakeholders to translate data requirements into optimized structures