Snowflake Data Engineer II

Deloitte offers the opportunity to design and deliver enterprise data solutions on the Snowflake Platform, helping clients strengthen how they build, govern, and operationalize data for analytics and AI outcomes. This onsite role in Rosslyn, VA combines hands-on engineering ownership with stakeholder advisory across data engineering, data science, and business intelligence.

Compensation for this position is USD 97,700 - 162,800 per year. The wage range reflects a range of factors used in compensation decisions.

What you’ll do

• Lead the architecture and implementation of advanced solutions on Snowflake, from large-scale data pipelines to production-ready AI/ML models.
• Advise senior stakeholders on a holistic data strategy, covering data engineering best practices, MLOps, BI, and data governance on Snowflake.
• Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
• Drive technical discussions with business and functional analysts to translate complex requirements into comprehensive solution designs based on proven project success.

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Legally authorized to work in the United States without the need for 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+ year of experience with Snowflake, including hands-on experience with one of: Cortex AI, Cortex LLM Functions, Cortex Agents, or Arctic Embed.
• 1+ year of experience in 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 work, clients, and the industries or sectors served.

Preferred qualifications

• 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 including feature engineering, experimentation, or model evaluation.
• Public sector experience preferred.
• Active public sector security clearance preferred.

Tools and platforms

Snowflake, Databricks, Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed, AWS, Azure, GCP.