Snowflake Engineer (Snowflake Cortex & Data Engineering

Position: Snowflake Engineer (Snowflake Cortex & Data Engineering)
## Snowflake Engineer (Snowflake Cortex & Data Engineering)
Apply locations:
US - VA, McLean:
US - Remote (Any location) time type:
Full time posted on:
Posted Todayjob requisition :
42768
** Job Family:
** Data Science & Analysis
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* Travel Required:

** Up to 10%
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* 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.
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* 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 Degree
* FIVE (5) or more years of data engineering experience, including TWO (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.
* Hands-on experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables, 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.
* Familiarity with production support, observability, incident management, and operational readiness best practices.
* 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 $98,000.00-$. 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.
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* 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…