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Cortex Jobs in Virginia (NOW HIRING)

CYNET SYSTEMS

Data Architect

Arlington, VA · On-site

$60/hr

Architect and implement AI-powered solutions using Snowflake Cortex, including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics ...

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Cortex information

See Virginia salary details

$72.9K

$121K

$162.6K

How much do cortex jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cortex in Virginia is $120,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a Cortex?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What are the key skills and qualifications needed to thrive as a Cortex engineer, and why are they important?

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are popular job titles related to Cortex jobs in Virginia?

For Cortex jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Cortex jobs in Virginia look for?

The top searched job categories for Cortex jobs in Virginia are:

Cortex jobs near you
Infographic showing various Cortex job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $120,961 per year, or $58.2 per hour.

Snowflake Engineer (Snowflake Cortex & Data Engineering)

Guidehouse

Mclean, VA • On-site

$98K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

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.

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