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Cdc Security Jobs in Washington (NOW HIRING)

CONTRACT SPECIALIST II

Mclean, VA · Remote

$50K - $70K/yr

... the CDC Office of Acquisition Services (OAS) in support of workplace safety and security modernization and related public health procurement initiatives across OSSAM, NIOSH, and the World Trade ...

CONTRACT SPECIALIST II

Mclean, VA · Remote

$50K - $70K/yr

... the CDC Office of Acquisition Services (OAS) in support of workplace safety and security modernization and related public health procurement initiatives across OSSAM, NIOSH, and the World Trade ...

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Cdc Security information

See Washington salary details

$13

$21

$28

How much do cdc security jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for cdc security in Washington is $21.56, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $21.25 per hour, depending on experience, location, and employer.

What is a CDC Security job?

CDC Security jobs refer to positions within the Centers for Disease Control and Prevention (CDC) that focus on protecting the agency’s personnel, information, and facilities. These roles typically include physical security, cybersecurity, and emergency preparedness to safeguard sensitive public health data and operations. CDC Security personnel ensure compliance with federal security standards and coordinate responses to potential threats to public health infrastructure.

What are the key skills and qualifications needed to thrive as a CDC Security officer?

To thrive as a CDC Security Officer, you need strong knowledge of security protocols, emergency response procedures, and federal or organizational regulations, often supported by relevant security certifications or law enforcement experience. Familiarity with surveillance systems, access control software, and incident reporting tools is typically required. Attention to detail, situational awareness, and effective communication are critical soft skills for this position. These competencies are vital to ensure the safety and security of CDC facilities, protect sensitive information, and respond effectively to potential threats.

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

CDC Security professionals often encounter challenges such as staying updated with evolving cybersecurity threats, managing large-scale incident response, and ensuring compliance with strict governmental protocols. Working in this environment requires constant learning, effective communication with cross-functional teams, and attention to detail. Building strong collaboration with IT, public health experts, and law enforcement helps address these challenges, and ongoing professional development ensures preparedness for emerging security risks.

What is the difference between Cdc Security vs Security Guard?

AspectCdc SecuritySecurity Guard
CertificationsSecurity license, Cdc-specific trainingSecurity license, general security training
Work EnvironmentHealthcare facilities, hospitals, clinicsVarious settings including commercial, retail, residential
Employer & IndustryHealthcare industry, hospitals, clinicsMultiple industries, private security firms
Job FocusProtecting healthcare staff, patients, and premisesProtecting property and people in general

While both roles involve security responsibilities, Cdc Security specializes in healthcare environments, focusing on patient and staff safety within medical facilities. Security Guards have a broader scope, working across various industries to safeguard property and individuals. The key differences lie in the required certifications, work settings, and specific job duties.

What are popular job titles related to Cdc Security jobs in Washington?

For Cdc Security jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Cdc Security jobs in Washington look for?

The top searched job categories for Cdc Security jobs in Washington are:

Infographic showing various Cdc Security job openings in Washington as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,840 per year, or $21.6 per hour.

Senior Data Engineer (AWS & Snowflake)

otelier.io

Bethesda, MD • On-site

$122K - $146K/yr

Full-time

Re-posted 28 days ago


Job description

Description:
  • Data Pipeline Development: Build and maintain efficient, scalable, and reliable pipelines to support analytics and reporting workloads.
  • Data Integration: Implement seamless integration across diverse data sources (structured, semi-structured, and unstructured) into Snowflake and AWS-based data platforms (Postgres/Aurora Postgres/Dynamo DB)
  • Data Governance: Establish and enforce data governance frameworks including metadata management, data lineage, data quality and data entitlement.
  • Cloud Engineering: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift, EMR) to design cloud-native data solutions.
  • Performance Optimization: Monitor, troubleshoot and optimize data workflows for speed, scalability, and cost efficiency.
  • Collaboration: Partner with data architects, analysts and business stakeholders to translate requirements into technical solutions.
  • Best Practices: Drive adoption of engineering best practices, including CI/CD, automation, and Infrastructure-as-Code for data platforms.
  • Leveraging AI: Any experience in leveraging AI in execution or implementation of data pipelines and data integration solutions.
Requirements:
  • 10–12 years of hands-on experience in data engineering.
  • Strong hands-on expertise in Snowflake data modelling, performance tuning, CDC, security and governance (Snowpipe, Dynamic Tables, DBT, Streams, RBAC).
  • Hands-on experience with AWS services (S3, Glue, Postgres, Redshift, EMR, IAM).
  • Proficiency in RDBMS concepts, SQL and programming languages such as Python or Scala.
  • Experience with ETL/ELT frameworks and workflow orchestration tools ( Snaplogic, Airflow, DBT).
  • Good understanding of data governance principles and implementation experience
  • Familiarity with DevOps practices and CI/CD pipelines for data engineering.
  • Excellent problem-solving, communication and stakeholder management skills.

Preferred Qualifications

  • Exposure to big data technologies (Spark, Hadoop).
  • Experience with real-time data streaming (Kafka, Kinesis).
  • Knowledge of data cataloging tools (Collibra, Alation).
  • Experience of using AI tools (Cloude, Cortex)
  • Prior experience in implementing enterprise-scale data modernization initiatives.