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Data Engineer With Jobs in Atlanta, GA (NOW HIRING)

Cloud Data Vision LLC

Data Engineer - Only Locals

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will have strong hands-on experience with data integration, ETL/ELT, cloud technologies, SQL, and modern data engineering tools. The candidate should be able to work onsite in ...

New

Polar IT Services

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

Role: Lead Data Engineer with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It's a W2 Role) Core Responsibilities: We are ...

Inficare Technologies

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

GCP Data Engineer Location: Atlanta, GA (Hybrid - 3 Days Onsite | Local Candidates Only) Job Type ... This is a senior SME-level role with cross-functional leadership responsibilities. Key ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

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 ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

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 ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

ClifyX

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ClifyX is a company seeking an AWS Data Engineer with hands-on development experience in various AWS technologies. The role involves working with tools such as Redshift, Python, Spark, and Kinesis in ...

CEDENT

GCP Data Engineer

Alpharetta, GA

$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 ...

LVT Labs Consulting

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. 8+ years of experience in Data Engineer with AWS services like Simple Storage Service ...

Mindlance

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in data engineering roles. The role involves building and optimizing data pipelines, supporting analytics ...

Dovel Technologies, Inc

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have ...

Guidehouse

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

AI experience with prompt engineering, machine learning, agentic AI and RAG concepts * Build and optimize data architectures and models to support analytics, reporting, and operational needs.

Guidehouse

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

AI experience with prompt engineering, machine learning, agentic AI and RAG concepts * Build and optimize data architectures and models to support analytics, reporting, and operational needs.

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All JobsData Engineer With JobsData Engineer With Jobs in Atlanta, GA

Data Engineer With information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do data engineer with jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data engineer with in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

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For Data Engineer With jobs in Atlanta, GA, the most frequently searched job titles are:

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The top searched job categories for Data Engineer With jobs in Atlanta, GA are:

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Cities near Atlanta, GA with the most Data Engineer With job openings:

Data Engineer With jobs near you
Infographic showing various Data Engineer With job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Data Engineer - Only Locals

Atlanta, GA • On-site

Cloud Data Vision LLC
See more jobs at Cloud Data Vision LLCexternal

$110K - $132K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Engineer
Location: Atlanta, GA – Local Candidates Only
Workplace: Onsite
Duration: Long-Term Contract
Experience: 7+ Years

Job Summary

We are seeking an experienced Data Engineer with 7+ years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate will have strong hands-on experience with data integration, ETL/ELT, cloud technologies, SQL, and modern data engineering tools.

The candidate should be able to work onsite in Atlanta, GA and collaborate closely with data architects, analysts, application teams, and business stakeholders.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and optimize data ingestion and transformation workflows from multiple data sources.
  • Develop complex SQL queries, stored procedures, and data transformation logic.
  • Work with structured and unstructured data across relational and cloud-based platforms.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize data pipelines for performance, scalability, reliability, and cost.
  • Develop data models and support enterprise data warehouse/lakehouse initiatives.
  • Integrate data from APIs, databases, files, applications, and other enterprise systems.
  • Troubleshoot data pipeline failures and resolve production issues.
  • Collaborate with Data Architects, Developers, BI teams, QA, and business stakeholders.
  • Implement CI/CD practices for data engineering workflows.
  • Document data pipelines, technical processes, data mappings, and system dependencies.
  • Follow data security, governance, privacy, and compliance standards.
Required Skills
  • 7+ years of experience in Data Engineering or a related field.
  • Strong proficiency in SQL and relational databases.
  • Hands-on experience with ETL/ELT processes and data integration.
  • Experience with data warehousing concepts, dimensional modeling, and data pipelines.
  • Experience with Python, Java, or Scala for data engineering.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Strong understanding of data quality, data validation, and data governance.
  • Experience with batch and/or real-time data processing.
  • Familiarity with Git, CI/CD, and Agile development methodologies.
  • Strong troubleshooting and analytical skills.
  • Excellent communication and collaboration skills.

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