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Full Time Data Storage Jobs in Georgia (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark) * Minimum ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark) * Minimum ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark) * Minimum ...

Beazer Homes

Data Engineer Sr

Atlanta, GA

$112K - $134K/yr

Optimize data storage solutions using relational (SQL) and NoSQL databases. * Work with big data ... UNAVAILABLEEmployment Type: FULL_TIME

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a Week) This Data Engineering Lead ... storage and retrieval. • Develop and maintain CI/CD pipelines for automated deployment and ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 2 days a Week) This Data Engineering Lead ... storage and retrieval. • Develop and maintain CI/CD pipelines for automated deployment and ...

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All JobsData Storage JobsFull Time Data Storage JobsFull Time Data Storage Jobs in Georgia

Full Time Data Storage information

What are the key skills and qualifications needed to thrive as a Data Storage Specialist, and why are they important?

To thrive as a Data Storage Specialist, you need expertise in data management, storage architecture, and backup/recovery solutions, typically supported by a degree in computer science or IT. Familiarity with storage platforms like SAN, NAS, cloud storage services, and certifications such as CompTIA Storage+ or vendor-specific credentials are commonly required. Strong problem-solving, attention to detail, and effective communication skills help in diagnosing issues and collaborating with IT teams. These skills are crucial for ensuring reliable data access, security, and scalability within an organization's infrastructure.

What are Full Time Data Storage jobs?

Full Time Data Storage jobs involve managing, organizing, and safeguarding digital data for an organization on a full-time basis. Professionals in these roles work with data storage systems, such as cloud services, databases, and physical storage devices, to ensure data is stored securely and can be accessed efficiently. They may also be responsible for implementing backup solutions, maintaining storage infrastructure, and helping recover data in case of loss. These positions typically require knowledge of storage technologies, data security best practices, and experience with relevant hardware and software tools.

What is the difference between Full Time Data Storage vs Data Analyst?

AspectFull Time Data StorageData Analyst
Required CredentialsIT certifications, knowledge of storage systemsStatistics, data analysis certifications
Work EnvironmentData centers, IT departmentsOffice, remote, or client sites
Industry UsageIT, cloud services, data managementBusiness, marketing, finance

Full Time Data Storage professionals focus on managing and maintaining storage infrastructure, while Data Analysts interpret data to support business decisions. Both roles require technical skills but differ in their primary functions and work environments.

What are some common challenges faced by professionals in full-time data storage roles, and how can they be addressed?

Professionals in full-time data storage roles often encounter challenges such as managing rapidly growing data volumes, ensuring data security and compliance, and maintaining system reliability. Addressing these requires staying up to date with storage technologies, implementing robust backup and disaster recovery plans, and collaborating closely with IT security and infrastructure teams. Regular training and adopting automation tools can also help streamline storage management and reduce manual errors.
What are the most commonly searched types of Data Storage jobs in Georgia? The most popular types of Data Storage jobs in Georgia are:
Full Time Data Storage jobs near you

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 9 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.

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