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Internship Cloud Data Engineer Jobs in Georgia (NOW HIRING)

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

They are seeking a Lead Data Engineer to design, build, and operationalize large-scale enterprise data solutions using Google Cloud Platform and various data analytics services. Responsibilities ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering. * Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot)

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

$93K - $112K/yr

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and analytics platforms that support cloud-based digital applications for food and ...

Data Architect

Atlanta, GA · On-site

$150K - $165K/yr

Continuously evaluate and test new cloud engineering solutions, data pipelines, and architecture patterns to ensure optimal platform performance, security, and scalability. qualifications: 5 to 10+ ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL ... Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL ... Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to ...

Data Engineer Location: 1130 Sanctuary Pkwy, Alpharetta, GA 30009; Must live within reasonable ... and cloud-based sources into the Enterprise Data Platform (EDP). * Hands on experience with ...

Data Engineer II

Smyrna, GA

$114K - $137K/yr

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI ... Azure and Cloud Data Solutions * Design, implement, and support data solutions using technologies ...

Showing results 21-40

Internship Cloud Data Engineer information

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Infographic showing various Internship Cloud Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer - Data Integration C2C jobs Location: Atlanta, GA

Tech Mirrors

Atlanta, GA • On-site

$120 - $180/hr

Other

Posted 18 days ago


Job description

Data Engineer – Data Integration

Position: Data Engineer – Data Integration

Location: Atlanta, GA (onsite)

Type: Long-term

Job description: A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) – Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution’s lifecycle.

Required skills
  • 7+ years of experience in Data Engineering / Data Migration / ETL with strong hands‑on experience in AWS DMS for full‑load and CDC‑based data movement.
  • Strong experience with Python for automation, data processing, validation, reconciliation, and operational scripting.
  • Hands‑on experience with Terraform for provisioning and managing AWS cloud infrastructure.
  • Strong working experience with Snowflake including data loading, staging, SQL development, performance tuning, and data validation.
  • Experience fetching data from various enterprise sources including databases, S3 buckets, and SFTP, with exposure to Kerberos authentication for secured database connectivity.
Nice to have skills
  • Experience with full‑stack development using Python‑based frameworks.
  • Experience with AWS services such as Lambda, Glue, Step Functions, Event Bridge, IAM, Secrets Manager, CloudWatch, and VPC networking.
  • Experience with large‑scale data migration, cloud modernization, or enterprise data warehouse implementation projects.
  • Exposure to CI/CD tools such as GitHub Actions, GitLab CI, or AWS Code Pipeline.
Responsibilities
  • Fetch and process data from various sources including relational databases, Amazon S3, and SFTP servers.
  • Work with Kerberos authentication to securely connect to enterprise databases and authenticated data sources.
  • Build and manage AWS infrastructure using Terraform.
  • Configure AWS services such as DMS, S3, IAM, VPC, Secrets Manager, CloudWatch, and related cloud components.
  • Load, validate, and optimize data in Snowflake using stages, file formats, warehouses, schemas, and SQL‑based transformations.
  • Troubleshoot DMS replication failures, connectivity issues, authentication errors, latency, and performance bottlenecks.
  • Perform data validation and reconciliation between source systems and Snowflake targets.
  • Collaborate with application, database, infrastructure, security, and data engineering teams to deliver reliable migration solutions.
  • Create technical documentation, data flow diagrams, deployment notes, runbooks, and support procedures.
  • Support internal tools or dashboards using full‑stack development skills where required.
Open seat description

We need an experienced Cloud Data Engineer / Data Migration Engineer to support enterprise data movement and migration initiatives using AWS DMS, Python, Terraform, AWS, and Snowflake. The candidate will design, build, automate, and support secure data ingestion pipelines from multiple sources including enterprise databases, S3 buckets, and SFTP locations into Snowflake. The role requires exposure to Kerberos authentication for securely connecting to enterprise databases and protected data sources.

Design, configure, and support AWS DMS replication tasks for full-load and CDC‑based data migration.

Develop Python scripts for automation, data validation, reconciliation, file handling, and operational support.

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