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Cdc Data Jobs in Virginia (NOW HIRING)

Data Engineer - Senior

Herndon, VA · On-site +1

$110K - $170K/yr

This role leads data governance, workspace design, and end-to-end onboarding processes while ... Deep experience with medallion architecture (Bronze/Silver/Gold), Delta Lake, and CDC patterns

Senior Data Engineer

Richmond, VA

$104K - $142K/yr

... replication/CDC) Demonstrated experience normalizing inconsistent third-party schemas into standardized enterprise data models, including source-to-target mapping, deduplication, and entity ...

New

Senior Data Engineer (Full Scope Poly)

Reston, VA · On-site

$110K - $149K/yr

Experience with Oracle GoldenGate or similar change data capture (CDC), replication, or data integration technologies. * Familiarity with data governance, metadata management, master/reference data ...

Showing results 21-40

Cdc Data information

What are CDC data?

CDC data refers to the wide range of public health information collected, analyzed, and published by the Centers for Disease Control and Prevention (CDC). This data includes statistics on disease incidence, surveillance reports, health behaviors, and trends related to public health issues in the United States. Researchers, policymakers, and public health professionals use CDC data to inform decisions, track outbreaks, and improve health outcomes. The data is made available through various CDC platforms, such as CDC WONDER, Data.CDC.gov, and specific disease databases.

What are the key skills and qualifications needed to thrive as a CDC data analyst?

To thrive as a CDC Data Analyst, you need strong analytical skills, a background in public health or statistics, and experience with data interpretation, typically supported by a relevant degree. Proficiency in statistical software (such as SAS, R, or SPSS), data visualization tools, and data management systems is essential. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for translating data findings to diverse stakeholders. These skills ensure accurate public health reporting and support data-driven decision-making to improve health outcomes.

What are some common challenges faced by professionals working with CDC data, and how can they be addressed?

Professionals working with CDC data often encounter challenges such as managing large and complex datasets, ensuring data privacy, and interpreting evolving public health trends. Addressing these challenges involves staying updated on data management best practices, using secure data handling protocols, and collaborating closely with epidemiologists and analysts to accurately interpret findings. Regular training on CDC data systems and effective communication within multidisciplinary teams can also help overcome these obstacles and ensure high-quality public health insights.

What is the difference between Cdc Data vs Data Analyst?

AspectCdc DataData Analyst
Required CredentialsTypically requires public health, epidemiology, or data management certificationsRequires degrees in statistics, data science, or related fields; certifications like CAP or Microsoft Power BI are common
Work EnvironmentGovernment health agencies, public health departments, research institutionsCorporate, healthcare, finance, or consulting firms
Employer & Industry UsageUsed mainly in public health and government sectors for disease tracking and health data managementUsed across various industries for data interpretation, reporting, and decision-making

While both roles involve data handling, Cdc Data focuses on public health data management within government agencies, whereas Data Analysts work across industries analyzing diverse datasets to support business decisions.

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

The top searched job categories for Cdc Data jobs in Virginia are:

What cities in Virginia are hiring for Cdc Data jobs?

Cities in Virginia with the most Cdc Data job openings:

Infographic showing various Cdc Data job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Snowflake Engineer (Snowflake Cortex & Data Engineering)

Guidehouse

Mclean, VA • Remote

$113K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 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:

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 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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