Snowflake Data Engineer
Deloitte
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- OperationsETLSnowflakeSQLCI/CDData analysis
- Work
- On-site in Mechanicsburg
- Pay
- Not stated by the employer.
- Skill demand
- SQL82%ETL72%Snowflake46%Operations25%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
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About the Role
Join Deloitte's AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on clients' success. Work alongside talented professionals reimagining and reengineering operations and processes critical to businesses. Contribute to improving financial performance, accelerating new digital ventures, and fueling growth through innovation.
Key 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.
Requirements & Tech Stack
- 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.
Qualifications
- 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, 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, cloud data engineering.