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Cdc Engineering Jobs in Georgia (NOW HIRING)

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... engineering to deliver governed, queryable data products KPIs • Data freshness and pipeline ... Debezium (SQL Server CDC, Postgres logical replication), Kafka / Redpanda • Orchestration:

Lead Data Engineer

Alpharetta, GA

$111K - $134K/yr

... engineering to deliver governed, queryable data products KPIs · Data freshness and pipeline ... Debezium (SQL Server CDC, Postgres logical replication), Kafka / Redpanda · Orchestration: Dagster ...

Cloud Data Engineer (50576)

Atlanta, GA · On-site

$112K - $134K/yr

CDC's Center for Forecasting Outbreaks and Analytics (CFA) is tasked with collaborating with ... Working with a multi-disciplinary team of scientists, data engineers, developers, and data ...

... engineering needs of clients. GbILS values its innovative thinking and service-oriented team who ... CDC is the nation's premier health promotion, prevention, and preparedness agency. The onsite ...

... with CDC. * Direct integrated performance across surveillance, statistics, data science, programming, and 1CDP/data-management workstreams. * Develop and maintain integrated project schedules ...

New

Showing results 21-40

Cdc Engineering information

See Georgia salary details

$24.9K

$29.3K

$34.2K

How much do cdc engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for cdc engineering in Georgia is $29,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $28,700.00 per year, depending on experience, location, and employer.

What is a CDC engineer?

CDC engineers are professionals who work for the Centers for Disease Control and Prevention (CDC), focusing on engineering solutions that support public health initiatives. Their roles often include designing and maintaining laboratory facilities, implementing biosafety measures, and supporting disease surveillance systems. CDC engineers may specialize in various fields such as biomedical, environmental, or systems engineering to help prevent and control the spread of diseases. They collaborate with scientists and public health officials to ensure laboratory safety, efficient operations, and compliance with health regulations.

What are some common challenges faced by CDC engineers when working on disease surveillance systems?

CDC Engineers often encounter challenges such as integrating legacy data systems with modern surveillance platforms and ensuring data security and privacy in compliance with federal regulations. They must collaborate closely with epidemiologists, data scientists, and IT staff to design systems that efficiently handle large, sensitive datasets and respond rapidly to public health threats. Additionally, adapting to evolving technologies while maintaining system reliability and scalability is an ongoing task in this role.

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

To thrive as a CDC (Change Data Capture) Engineer, you need strong expertise in database management, ETL processes, and data integration, typically backed by a degree in computer science or a related field. Familiarity with tools such as Apache Kafka, Informatica, Oracle GoldenGate, and cloud data platforms, along with relevant certifications, is highly valued. Excellent problem-solving skills, attention to detail, and effective communication help you address complex data challenges and collaborate with cross-functional teams. These skills ensure reliable data flow, minimal downtime, and accurate real-time analytics, which are critical for modern data-driven organizations.

What is the difference between Cdc Engineering vs Mechanical Engineering?

AspectCdc EngineeringMechanical Engineering
Required CredentialsTypically requires a degree in civil, environmental, or related engineering fields; certifications vary by projectRequires a bachelor's degree in mechanical engineering; Professional Engineer (PE) license often preferred
Work EnvironmentPrimarily on construction sites, infrastructure projects, and environmental sitesDesign offices, manufacturing plants, and research labs
Industry UsageUsed in infrastructure, environmental remediation, and construction projectsUsed in manufacturing, automotive, aerospace, and product design

While both Cdc Engineering and Mechanical Engineering require strong technical skills and relevant certifications, Cdc Engineering focuses on infrastructure, environmental, and construction projects, often involving site-specific work. Mechanical Engineering covers a broader range of design and manufacturing applications, typically in office settings or factories.

How competitive are CDC Engineering job openings?

CDC Engineering job openings are generally competitive, with many applicants vying for positions that often require relevant engineering skills, certifications, and experience. Competition levels can vary based on the specific role, location, and current industry demand, but candidates with strong technical backgrounds and relevant qualifications tend to have better chances. Employers often seek candidates with a solid understanding of engineering principles and problem-solving abilities.

What are the most commonly searched types of Cdc Engineering jobs in Georgia?

The most popular types of Cdc Engineering jobs in Georgia are:

What are popular job titles related to Cdc Engineering jobs in Georgia?

For Cdc Engineering jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Cdc Engineering jobs in Georgia look for?

The top searched job categories for Cdc Engineering jobs in Georgia are:

What cities in Georgia are hiring for Cdc Engineering jobs?

Cities in Georgia with the most Cdc Engineering job openings:

Infographic showing various Cdc Engineering job openings in Georgia as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $29,265 per year, or $14.1 per hour.

Data Analytics Engineer IV. 4P/796

4p-Consulting-Inc.

Atlanta, GA • On-site

$110 - $140/hr

Other

Posted 28 days ago


Job description

Position: Data Analytics Engineer IV

Location: 241 Ralph McGill Blvd., Atlanta, GA HYBRID
Duration:3 Years

Client:Georgia Power
Employment Type:W-2 Only

Georgia Power is seeking an experienced Data Analytics Engineer IV to design, build, and support scalable data platforms, enterprise data pipelines, application integrations, and analytics solutions for Power Delivery.

This role will work with Databricks, Azure Data Factory, Kafka, APIs, Microsoft Power Platform, OutSystems, and cloud-based lakehouse technologies to deliver trusted, governed, and reusable data products.

Key Responsibilities
  • Design, develop, and maintain enterprise ETL and ELT data pipelines.
  • Build ingestion frameworks for structured, semi-structured, batch, and streaming data.
  • Develop Databricks notebooks, workflows, pipelines, and reusable data products.
  • Ingest data using Azure Data Factory, Kafka, CDC technologies, APIs, files, and databases.
  • Build and maintain Bronze, Silver, and Gold data layers within the Databricks Lakehouse.
  • Develop solutions using PySpark, Spark SQL, Python, SQL, Delta Lake, and Unity Catalog.
  • Implement data-quality checks, monitoring, exception handling, lineage, and metadata.
  • Optimize lakehouse performance, scalability, and cloud costs.
  • Build and enhance business applications using Power Apps, Power Automate, Power Platform, and OutSystems.
  • Integrate Databricks data products with business applications and operational workflows.
  • Implement CI/CD practices using GitHub and Azure DevOps.
  • Support architecture reviews, solution design, governance, security, and documentation.
  • Partner with business users, analysts, developers, and technology teams.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field.
  • 3–7 years of experience in data engineering, analytics engineering, or software development.
  • Experience developing enterprise data pipelines and cloud-based integrations.
  • Strong experience with ETL/ELT, data orchestration, data warehousing, data lakes, and lakehouse architectures.
  • Hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog.
  • Proficiency in Python and SQL.
  • Experience with Azure Data Factory, APIs, Kafka, CDC technologies, and SQL Server.
  • Experience with GitHub and Azure DevOps.
  • Experience with Power Apps, Power Automate, Power Platform, or OutSystems.
  • Strong analytical, communication, collaboration, and problem-solving skills.
Preferred Qualifications
  • Utility or Power Delivery industry experience.
  • Experience supporting transmission or distribution analytics.
  • Real-time data-streaming experience.
  • Knowledge of AI and machine-learning enablement using Databricks.
  • Experience integrating Power BI with Databricks, including DirectQuery architectures.
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