2

Full Time Data Security Engineer Jobs in Atlanta, GA

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Ensure data security, integrity, and availability in all storage solutions. * Manage data lifecycle ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Cloud Security Engineer

Atlanta, GA · Hybrid

$90K - $120K/yr

Atlanta, GA Employment Type: Full Time Position Overview: We are seeking an experienced and detail-oriented Cloud Security Engineer to join our team in Atlanta, GA. This hybrid role requires a ...

... engineering experience. * Security-centric certification, such as Security+ or Certified Ethical ... Demonstrates skill in data analysis techniques by resolving missing/incomplete information and ...

... engineering experience. * Security-centric certification, such as Security+ or Certified Ethical ... Demonstrates skill in data analysis techniques by resolving missing/incomplete information and ...

Senior Cloud Security Engineer

Atlanta, GA · On-site +1

$110K - $151K/yr

Our platform empowers organizations to activate customer data from any source, design seamless ... As Engineers, we believe in security through automation, assessments, technical reviews and ...

Showing results 41-60

Full Time Data Security Engineer information

See Atlanta, GA salary details

$59.1K

$146.9K

$197.6K

How much do full time data security engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full time data security engineer in Atlanta, GA is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $152,400.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Security Engineer vs Data Security Analyst?

AspectFull Time Data Security EngineerData Security Analyst
CertificationsCompTIA Security+, CISSP, CISACompTIA Security+, CISSP, CISA
Work EnvironmentDesigning and implementing security measures, working with IT teamsMonitoring security systems, analyzing threats, reporting findings
Employer & Industry UsageTech companies, finance, healthcare, governmentFinancial institutions, tech firms, consulting firms

Full Time Data Security Engineers focus on building and maintaining security infrastructure, while Data Security Analysts primarily monitor and analyze security threats. Both roles require similar certifications and are vital in protecting organizational data, but their daily tasks and responsibilities differ significantly.

What are the most commonly searched types of Data Security Engineer jobs in Atlanta, GA?

The most popular types of Data Security Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Full Time Data Security Engineer jobs?

Cities near Atlanta, GA with the most Full Time Data Security Engineer job openings:

Infographic showing various Full Time Data Security Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago


Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
This position is open to direct candidates only. We are not working with third-party agencies.
Candidates must be U.S. Citizens or Green Card holders.