> Markdown version of [/jobs/ext/1887990-snowflake-engineer-snowflake-cortex-data-engineering](https://www.wearedevelopers.com/jobs/ext/1887990-snowflake-engineer-snowflake-cortex-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Engineer (Snowflake Cortex & Data Engineering) - **Company:** Guidehouse Inc. - **Location:** McLean, VA, United States - **Experience:** Experienced - **Salary:** $98,000.0 - $163,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Microsoft Azure, Big Data, Software as a Service, Cluster Analysis, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Sharing, Data Systems, Data Warehousing, Database Development, Database Queries, Decision Support Systems, Data Intelligence, Python (Programming Language), Machine Learning, Performance Tuning, Query Optimization, Role-Based Access Control, Search Technologies, SQL Stored Procedures, Enterprise Data Management, Sql Optimization, Large Language Models, Snowflake, Caching, Generative AI, Change Data Capture, Infrastructure as Code (IaC), Git, Deployment Automation, Real Time Data, Software Version Control - **Published:** August 1, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9070107/snowflake-engineer-snowflake-cortex-data-engineering ## About the Role * 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. * SnowPro Core, SnowPro 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. ## Description * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)