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

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 ...

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 +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 · 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 ...

CEDENT

GCP Data Engineer

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 ...

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 ...

NAVA Software Solutions

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Details: Data Engineer Location: Berkeley Heights, NJ/Atlanta, GA (Hybrid) Duration: 6 months ... Work with stakeholders including the Executive, Product, Data and Design teams to assist with data ...

Lazer Logistics

Data Engineer

Alpharetta, GA · On-site

$129K/yr

The ideal candidate is strong in data modeling and engineering, with solid collaboration and problem-solving skills. Data Modeling & Architecture Design and build data models and semantic layers ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... This role partners with teams responsible for Marketing and Digital Guest Engagement platforms that ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role partners with teams responsible for Marketing and Digital Guest Engagement platforms that ... data engineers onsite and offshore. Duties and Responsibilities: (Scope of the role, day to day ...

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Showing results 1-20

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 Aug 21, 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.

What are popular job titles related to Data Engineer With jobs in Atlanta, GA?

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

What job categories do people searching Data Engineer With jobs in Atlanta, GA look for?

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

What cities near Atlanta, GA are hiring for Data Engineer With jobs?

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 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 $124,743 per year, or $60 per hour.

Data Engineer with ML Engineering Experience

Highbrow LLC

Atlanta, GA • On-site

$100 - $130/hr

Other

Posted 3 days ago

New

Job description

Job Title :- Data Engineer with ML Engineering Experience

Employment Type :- W2

Duration :- Long Term

Visa Type :- All Visa applicable which are ready for W2

Location- Atlanta, GA (Day-1 Onsite)

Job Description:

Education and Experience

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. A Master’s degree or relevant certifications (e.g., Google Professional Data Engineer) is a plus.
  • 5+ years of experience in data engineering, with at least 2-3 years of experience in machine learning engineering or deploying ML models in production.
  • Proven experience in building and maintaining scalable data pipelines, data warehouses, and infrastructure to support ML workflows.

Technical Skills:

  • Proficiency in big data frameworks and tools such as Apache Spark, Hadoop, Kafka, and Airflow.
  • Advanced skills in data modeling, ETL processes, and data pipeline automation, with a focus on performance and scalability.
  • Experience with cloud platforms (AWS, GCP, Azure) and their data services, such as AWS Glue, Google BigQuery, or Azure Data Lake.
  • Strong programming skills in Python, SQL, and experience with data query optimization.
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) and libraries for building and testing machine learning models.
  • Knowledge of containerization and orchestration tools (Docker, Kubernetes) for deploying and managing ML models in production.

Machine Learning Engineering Skills

  • Experience in feature engineering, data preprocessing, and building data pipelines to support ML training and inference.
  • Knowledge of MLOps best practices for continuous integration, deployment, and monitoring of ML models in production.
  • Familiarity with model lifecycle management tools such as MLflow, TFX, or Databricks to streamline ML workflows.
  • Strong understanding of data versioning, reproducibility, and monitoring of ML models to ensure model integrity over time.
  • Ability to work with structured and unstructured data, with hands-on experience in NLP, computer vision, or time-series data for machine learning applications.

Data Engineering Skills:

  • Proficiency in data storage and warehousing solutions (e.g., Snowflake, Redshift, BigQuery) for scalable data architecture.
  • Understanding of data governance, quality, and security best practices, including data lineage and compliance with regulations.
  • Experience with data lake architecture and data partitioning strategies to support large-scale data analysis.
  • Ability to optimize data infrastructure for low-latency access and high throughput, especially for real-time ML applications.

Communication and Collaboration Skills:

  • Strong communication skills with the ability to work closely with data scientists, ML engineers, and product teams to align data infrastructure with business requirements.
  • Collaborative mindset, with experience working in cross-functional teams to deliver end-to-end data and ML solutions.
  • Ability to document data workflows, pipelines, and ML infrastructure, ensuring transparency and ease of knowledge sharing.
  • Proven ability to understand and respond to the needs of diverse stakeholders, from technical teams to business leaders.

Additional Qualifications:

  • Familiarity with A/B testing, experimentation frameworks, and data-driven evaluation of ML models.
  • Knowledge of data privacy and security regulations (e.g., GDPR, CCPA) for responsible data management and ML practices.
  • Experience in specific industries like Telcomunications is a plus.
  • Passion for staying up-to-date on the latest in data engineering, ML tools, and techniques, with a proactive approach to continuous learning.
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