Guidehouse

Snowflake Engineer (Snowflake Cortex & Data Engineering)

Guidehouse$98K — $163K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree required.
  • 5+ years of data engineering experience, including 2 years with Snowflake.
  • Expertise in SQL development and complex query optimization.
  • Hands-on experience with Snowflake-native functionalities like Snowpipe and Streams.
  • Experience designing ELT/ETL data pipelines and automating processes.
  • Understanding of Snowflake architecture for performance optimization.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.

Responsibilities

  • Design, develop, and optimize Snowflake data solutions for analytics and reporting.
  • Build data ingestion and processing pipelines using Snowpipe, Streams, and Tasks.
  • Develop advanced SQL solutions, including stored procedures and reusable frameworks.
  • Implement and manage ELT/ETL pipelines and metadata-driven workflows.
  • Optimize performance, scalability, and reliability of Snowflake environments.
  • Integrate data from various sources, including cloud and on-premises.
  • Collaborate with cross-functional teams to deliver data products and solutions.

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Assistance Program
  • Corporate Sponsored Events & Community Outreach
Full Job Description
Job Family:
Data Science & Analysis

Travel Required:
Up to 10%

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 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.


The annual salary range for this position is $98,000.00-$163,000.00. 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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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