Logo for Guidehouse

Snowflake Engineer (Snowflake Cortex & Data Engineering)

Role overview

Qualifications

  • 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
  • Deep understanding of Snowflake architecture, including Virtual Warehouses and performance optimization

Responsibilities

  • Design, develop, and optimize Snowflake data solutions supporting enterprise analytics
  • Build scalable batch and near real-time data ingestion and processing pipelines
  • Develop and maintain advanced SQL-based solutions including complex stored procedures and UDFs
  • Integrate data from cloud, on-premises, API, and SaaS data sources

About the company

Guidehouse logo

Guidehouse

Business Consulting & Services

Guidehouse is a global consultancy providing advisory, digital, and managed services to the commercial and public sectors. Guidehouse is purpose-built to serve the national security, financial services, healthcare, energy, and infrastructure industries. Disrupting legacy consulting delivery models with its agility, capabilities, and scale, the firm delivers technology-enabled and focused solutions that position clients for innovation, resilience, and growth. With high-quality standards and a relentless pursuit of client success, Guidehouse’s more than 17,000 employees collaborate with leaders to outwit complexity and achieve transformational changes that meaningfully shape the future.

Company details

Company typeLarge
IndustryBusiness Consulting & Services
Company size10001

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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 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 RecruitingAccommodation@guidehouse.com. 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 guidehouse@myworkday.com.  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 recruiting@guidehouse.com. 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.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

Other jobs at Guidehouse

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.