Senior Snowflake Engineer (Snowflake Cortex & Data Engineering)

Guidehouse; McLean (VA); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid Holidays

Parental Leave

Tuition Reimbursement

Job summary

Guidehouse is seeking a senior data engineer to design, build, and optimize Snowflake data solutions supporting enterprise analytics and reporting. You will develop scalable batch and near real-time data pipelines, perform SQL-based transformations, and contribute to governance and security practices.

Collaborate with architects, analysts, product owners, and stakeholders to deliver high-quality data products.

Qualifications

• Must be able to obtain and maintain a Federal or DoD PUBLIC TRUST before onboarding.
• 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 VWs, micro-partitions, clustering, caching, and performance optimization.
• Experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables and 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.

Responsibilities

• 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.

Skills

Snowflake

SQL

ETL/ELT

Data pipelines

Python

Snowpark

CI/CD

RBAC

Cloud platforms

Data governance

Education

Bachelor's degree

Tools

Snowpipe

Snowflake Cortex

dbt

Git

IaC

Job 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.

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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.