> Markdown version of [/jobs/ext/1202661-snowflake-data-engineer](https://www.wearedevelopers.com/jobs/ext/1202661-snowflake-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Snowflake Data Engineer

- **Company:** EXL SERVICE
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $80,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, ARM Architecture, Microsoft Azure, Cluster Analysis, Program Optimization, Databases, Data Governance, Data Sharing, Python (Programming Language), Performance Tuning, Query Optimization, Role-Based Access Control, Power BI, Shell Script, SQL Stored Procedures, Systems Integration, Scripting, Freeform SQL, Enterprise Software Applications, Cloud Platform System, Data Ingestion, Snowflake, Information Technology
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4b3a23d88f1b4dfc

## About the Role

* Strong knowledge of Snowflake Architecture and Data Cloud platform.
 * Expertise in Snowflake SQL , query tuning, and performance optimization.
 * Hands-on experience with Stored Procedures, UDFs, Streams, Tasks, Snowpipe, Dynamic Tables, and Snowpark .
 * Experience with Cortex AI features , Time Travel, Zero-Copy Cloning, Data Sharing, and Materialized Views.
 * Strong understanding of RBAC, security, user/role management, and data governance .
 * Experience with Python and Shell scripting for automation.
 * Knowledge of clustering, micro-partitioning, warehouse management, and cost optimization .
 * Experience integrating Snowflake with Power BI, Sigma, APIs, Azure/AWS , and other enterprise applications.

Qualifications: Qualifications

 * 2-5 years of IT experience with at least 2+ years of hands-on Snowflake development experience.
 * SnowPro Certification is a plus.

Strong communication and problem-solving skills

## Description

Job Description: We are looking for a hands-on Snowflake Data engineer with strong expertise in Snowflake architecture, development, performance tuning, automation, and security. The ideal candidate should have a deep understanding of Snowflake's core capabilities and be comfortable working across development, administration, and platform optimization activities., * Develop and maintain Snowflake databases, schemas, tables, views, streams, tasks, and stored procedures.

 * Write and optimize complex SQL queries for performance and scalability.
 * Design and implement data ingestion and automation solutions using Snowpipe, Streams, Tasks, and scripting.
 * Manage Snowflake users, roles, permissions, and Role-Based Access Control (RBAC).
 * Optimize performance using clustering, micro-partitioning, query profiling, and warehouse tuning.
 * Build integrations with cloud platforms, BI tools, APIs, and external applications.
 * Leverage Snowflake Cortex and other latest Snowflake features for AI-driven use cases.
 * Troubleshoot production issues and support platform monitoring and optimization.
 * Collaborate with data engineers, analysts, and business teams to deliver scalable solutions.


## Related Videos

- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)