Senior Snowflake Engineer (Snowflake Cortex & Data Engineering)

Posted 2 Days Ago
Hiring Remotely in McLean, VA, USA
In-Office or Remote
113K-188K Annually
Senior level
Consulting
The Role
Design, build, and optimize enterprise Snowflake data solutions and scalable ELT/ETL pipelines. Implement Snowflake-native ingestion (Snowpipe, Streams, Tasks, Dynamic Tables), Snowpark, SQL-based transformations, governance (RBAC), performance tuning, production support, and integrations across cloud, on‑prem, API, and SaaS sources. Support AI initiatives using Snowflake Cortex and Snowpark.
Summary Generated by Built In

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

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 [email protected]. 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 [email protected].  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 [email protected]. 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.

Skills Required

  • Ability to obtain and maintain a Federal or DoD Public Trust (active Public Trust preferred)
  • Bachelor's degree
  • Ten (10) or more years of data engineering experience, including 2+ years hands-on Snowflake experience
  • Strong SQL development experience building and optimizing complex queries against large datasets
  • Experience developing and maintaining stored procedures, UDFs, views, and transformation logic
  • Deep understanding of Snowflake architecture (virtual warehouses, micro-partitions, clustering, caching) and performance optimization
  • Experience with Snowpipe, Streams, Tasks, Dynamic Tables and CDC patterns
  • Experience administering secure, scalable Snowflake environments and implementing RBAC, data access controls, and governance frameworks
  • Experience designing and implementing 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
  • Hands-on experience implementing Snowflake Cortex capabilities and AI-powered data solutions
  • Experience leveraging Snowpark (Python) for advanced data engineering, analytics, and AI/ML workloads
  • 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

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

Guidehouse Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

Similar Jobs

Wipfli Logo Wipfli

Architect

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
117K-158K Annually

Boeing Logo Boeing

Software Engineer

Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
In-Office or Remote
Herndon, VA, USA
170000 Employees
212K-286K Annually

nOps Logo nOps

Enterprise Account Executive

Artificial Intelligence • Cloud • Enterprise Web • Fintech • Software • Analytics • Infrastructure as a Service (IaaS)
Remote
United States
50 Employees
150K-185K Annually

Chief Detective Logo Chief Detective

Senior Analytics Engineer

Agency • Consumer Web • eCommerce • Social Media
Remote
United States
4 Employees
140K-175K Annually

Similar Companies Hiring

Energy CX Thumbnail
Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
Chicago, IL
108 Employees
Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Amplify Platform Thumbnail
Fintech • Financial Services • Consulting • Cloud • Business Intelligence • Big Data Analytics
Scottsdale, AZ
62 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account