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Senior Snowflake Engineer (Snowflake Cortex & Data Engineering
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-08-04
Listing for:
Guidehouse
Full Time
position Listed on 2026-08-04
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
Design, develop, and optimize Snowflake data solutions supporting enterprise analytics, reporting, and data-driven decision making.
Build scalable batch and near real-time data ingestion and processing pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark.
Develop and maintain advanced SQL-based solutions, including complex stored procedures, UDFs, views, and reusable data transformation frameworks.
Design and implement enterprise-grade ELT/ETL pipelines and metadata-driven automation frameworks.
Optimize Snowflake performance, scalability, reliability, and cost through query tuning, workload optimization, and platform best practices.
Implement secure, governed data solutions leveraging Snowflake native capabilities, including RBAC, data sharing, and governance controls.
Design and support enterprise data warehouse, data mart, and lakehouse architectures.
Integrate data from cloud, on-premises, API, and SaaS data sources.
Collaborate with architects, analysts, product owners, and business stakeholders to deliver high-quality data products and solutions.
Provide production support, monitoring, troubleshooting, incident resolution, and continuous platform improvement.
Support AI and advanced analytics initiatives leveraging Snowflake Cortex, Snowpark, and related Snowflake capabilities.
What You Will Need:
Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
Bachelors TEN (10) or more years of data engineering experience, including 2+ years of hands-on Snowflake experience.
Experience in SQL development with extensive experience building and optimizing complex queries against large datasets.
Experience developing and maintaining stored procedures, UDFs, views, and data transformation logic.
Deep understanding of Snowflake architecture, including Virtual Warehouses, micro-partitions, clustering, caching, and performance optimization.
Experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables and Change Data Capture (CDC) patterns
Experience administering secure, scalable Snowflake environments and implementing RBAC, data access controls, and governance frameworks.
Experience building scalable ELT/ETL frameworks and enterprise data pipelines.
Experience with data quality, reconciliation, monitoring, and operational support processes.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Experience with CI/CD pipelines, Git-based source control, Infrastructure as Code (IaC), and automated deployment practices.
Familiarity with production support, observability, incident management, and operational readiness best practices.
What Would Be Nice To Have:
Hands-on experience implementing Snowflake Cortex capabilities and AI-powered data solutions.
Experience with Cortex AI functions, semantic search, intelligent data applications, and AI-driven analytics.
Experience leveraging Snowpark (Python) for advanced data engineering, analytics, and AI/ML workloads.
Understanding of Retrieval-Augmented Generation (RAG), vector search, LLM-powered applications, and generative AI use cases within Snowflake.
Experience with dbt and modern analytics engineering practices.
Strong Python development experience.
Snow Pro Core, Snow Pro Advanced, or other Snowflake certifications.
Experience supporting regulated industries or large enterprise environments.
Experience designing cloud-native data products that support machine learning, advanced analytics, and AI initiatives.
The annual salary range for this position is $-$. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave
401(k) Retirement Plan Group Term Life and Travel Assistance Voluntary Life and AD&D Insurance Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts Transit and Parking Commuter Benefits Short-Term & Long-Term Disability Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities Employee Referral Program Corporate Sponsored Events & Community annual membership
Employee Assistance Program Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and protection, etc.)Position may be eligible for a…
Position Requirements
10+ Years
work experience
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