Snowflake Data Engineer
About The Position
Join Deloitte’s AI & Engineering team to transform technology platforms, drive innovation, and support client success. The Snowflake Data Engineer works in the US Delivery Center, building data solutions for Deloitte’s Government & Public Services practice. The role supports federal, state, and local government clients and public higher education institutions, as well as the design, development, and operation of data and AI platforms, products, insights, and services. The position focuses on developing and optimizing Snowflake data pipelines, building ETL/ELT processes, supporting legacy-system migrations to cloud platforms, and maintaining SQL Server and SSIS database solutions. The engineer collaborates with business and technical teams, supports business intelligence reporting and analytics, implements CI/CD practices, and promotes data quality, performance, security, and documentation. US Delivery Center professionals work from a designated center location, with nominal travel requirements. The stated compensation range is $110,000 to $150,000. The employee may also be eligible for a discretionary annual incentive, subject to program rules and individual and organizational performance. Deloitte offers a broad range of employee benefits and professional development opportunities, including skill-building, leadership opportunities, and mentorship.
Requirements
- Hands-on experience with Snowflake, including data engineering, data modeling, data analysis, and pipeline development.
- Strong understanding of data warehousing, ETL/ELT frameworks, and data integration practices.
- Extensive experience with Microsoft SQL Server and SSIS package development.
- Experience with data migration projects and modernization initiatives.
- Experience with Tableau, Power BI, and Alteryx.
- Strong AWS experience, including S3, AWS Glue, AWS Database Migration Service (DMS), and AWS Lambda.
- Experience with CI/CD pipelines and DevOps deployment practices.
- Strong SQL development, troubleshooting, and performance-tuning skills.
- Analytical and problem-solving capabilities, with strong written and verbal communication skills for engaging technical and business stakeholders.
Nice To Haves
- Experience working in Agile environments.
- Experience supporting enterprise-scale data and analytics platforms.
- Active public sector security clearance.
- Advanced communication skills.
- Intermediate experience with AI Awareness & Solutions, Analysis Data Sources, Cortex, and Python.
- Experience working with Snowflake, Snowflake Data Analysis, SQL Server, SSIS, AWS S3, Glue, DMS, Lambda, Tableau, Power BI, Alteryx, ETL/ELT, data migration, data warehousing, CI/CD, and cloud data engineering.
Responsibilities
- Design, develop, and optimize data pipelines using Snowflake capabilities.
- Build and maintain ETL/ELT processes for data ingestion, transformation, and integration.
- Support migrations from legacy systems to cloud-based platforms.
- Develop and maintain database solutions using Microsoft SQL Server and SSIS.
- Collaborate with business and technical teams to understand requirements and deliver data solutions.
- Integrate data with business intelligence tools to support reporting and analytics.
- Implement and maintain CI/CD processes for code deployment and release management.
- Promote data quality, performance, security, and clear documentation.
Benefits
- Broad range of employee benefits.
- May be eligible for a discretionary annual incentive program, subject to program rules and relevant factors.
- Professional development opportunities, including skill-building, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
