Senior Snowflake Engineer (Snowflake Cortex & Data Engineering)

Dovel Technologies, Inc; McLean (VA); Hybrid; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Paid Holidays

Job summary

Guidehouse is seeking a Senior Snowflake Engineer to design, develop, and optimize Snowflake data solutions for enterprise analytics. You will build scalable ingestion pipelines using Snowpipe, Streams, Tasks, and Snowpark, while tuning performance and implementing governance controls.

The role requires 10+ years in data engineering with deep Snowflake experience and strong SQL, Python, and CI/CD skills. Remote options within the US are available, with a focus on Cortex-enabled analytics

Qualifications

• 10+ years of data engineering experience.
• 2+ years of hands-on Snowflake experience.
• Experience with SQL development and complex queries.
• Deep understanding of Snowflake architecture and performance optimization.
• Experience with Snowflake-native capabilities (Snowpipe, Streams, Tasks, Dynamic Tables).
• Experience building scalable ELT/ETL pipelines and governance frameworks.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD, IaC, and production support practices.

Responsibilities

• Design, develop, and optimize Snowflake data solutions supporting analytics and reporting.
• Build scalable batch and near real-time data ingestion and processing pipelines.
• Develop and maintain advanced SQL-based solutions, including stored procedures and UDFs.
• Design and implement enterprise-grade ELT/ETL pipelines and automation frameworks.
• Optimize Snowflake performance, cost, and reliability.
• Implement secure data solutions with RBAC and governance.
• Support integrated data warehouse, data mart, and lakehouse architectures.
• Collaborate with stakeholders to deliver high-quality data products.
• Provide production support, monitoring, and incident resolution.
• Support AI initiatives leveraging Snowflake Cortex and related features.

Skills

Snowflake

SQL development

Data engineering

ELT/ETL pipelines

RBAC & governance

Python

CI/CD

Cloud platforms

CDC

Snowflake Cortex

Education

Bachelor's degree

Tools

Snowpipe

Snowpark

Change Data Capture (CDC)

Git/ IaC/Automation

Job description

## Senior Snowflake Engineer (Snowflake Cortex & Data Engineering)Applylocations: US - VA, McLean: US - Remote (Any location)time type: Full timeposted on: Posted Todayjob requisition id: 42766**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.* 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.The annual salary range for this position is $113,000.00-$188,000.00. 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.**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 Outreach* Care.com annual membership* Employee Assistance Program* Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)* Position may be eligible for a discretionary variable incentive bonus