Snowflake Data Engineer II
Backend Developer
Aws Data Engineer
Azure Data Engineer
Cloud
Cloud Data Engineering
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Science
Data Science Ops
Data Warehouse
Data Warehouse Development
Data Warehousing
Database
Databases
ETL
Gcp Data Engineer
Informatica
Reporting and Analytics
Snowflake
Snowflake Cortex
SQL
Job Description
Join Deloitte as a Data Engineer II to design and deploy enterprise data solutions on the Snowflake platform in an onsite role in Rosslyn, VA.
Responsibilities
- Own architecture and implementation of advanced Snowflake solutions, spanning large-scale data pipelines through production-ready AI/ML model delivery.
- Advise senior stakeholders on end-to-end data strategy, including best practices for data engineering, MLOps, BI, and data governance on Snowflake.
- Lead development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
- Run technical discussions with business and functional analysts to translate complex requirements into solution designs, based on proven project outcomes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Legal authorization to work in the United States without employer sponsorship, now or at any time in the future.
- Ability to obtain and maintain a US government security clearance.
- 2+ years of real-world experience in a client-facing role, advising on and implementing end-to-end solutions on the Databricks platform.
- 1+ years of hands-on Snowflake experience, including experience with at least one of: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed.
- 1+ years with cloud ecosystems (AWS, Azure, GCP) and MLOps principles, including Databricks Platform administration on a cloud provider.
- Ability to travel up to 25% on average based on client needs and industries/sectors.
Preferred
- Strong leadership, communication, and stakeholder management skills.
- Active Snowflake certifications.
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or an ML/data science background involving feature engineering, experimentation, or model evaluation.
- Public sector experience preferred.
- Active public sector security clearance preferred.
Tools & Technologies
- Snowflake, Databricks
- Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- AWS, Azure, GCP
Compensation
USD 97,700 - 162,800 per year.
Role context: This listing accounts for a wide range of factors used to make compensation decisions; the reasonable estimate of the current range is $97,700 to $162,800.
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