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

VDart, Inc.

Data Engineer with Java

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer with Java Location: Alpharetta, GA/Berkley Hills NJ(Hybrid) Duration: / Term: C2C Experience Desired: 8+ Years 1. Role Overview * Experienced Data Technical Lead to design, develop, and ...

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 · 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 +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 ...

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 ...

CEDENT

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 ...

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 ...

Cedent

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 ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

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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 Jul 27, 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 are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.
Data Engineer with Java

Data Engineer with Java

VDart, Inc.

Atlanta, GA • On-site

$110K - $132K/yr

Other

Posted 17 days ago

Job description

Job Title: Data Engineer with Java

Location: Alpharetta, GA/Berkley Hills NJ(Hybrid)

Duration: / Term: C2C

Experience Desired: 8+ Years
 

Job Description:

1. Role Overview

  • Experienced Data Technical Lead to design, develop, and support scalable cloud-based data platforms and streaming data pipelines.
  • The ideal candidate should possess strong expertise in Databricks, PySpark, Python, Java-based streaming technologies, GitLab CI/CD pipelines, and cloud migration initiatives.

2. Key Responsibilities

  • Design and develop scalable Databricks ETL/ELT pipelines (Lakeflow & LakeBase) using Azure Databricks, PySpark, and Python.
  • Implement real-time and batch data ingestion frameworks using Kafka and Java-based streaming solutions.
  • Develop and optimize data processing workflows in Azure Databricks.
  • Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and cloud platforms.
  • Build reusable frameworks for data ingestion, transformation, validation, and orchestration.
  • Develop SQL-based data transformations, reporting datasets, and performance optimization solutions.
  • Design and implement GitLab CI/CD pipelines for automated deployment, testing, and release management of Databricks notebooks, jobs, and data pipelines.
  • Support Snowflake on-premises to Azure cloud migration initiatives.
  • Ensure coding standards, performance tuning, monitoring, and operational stability of data pipelines.
  • Develop Power BI dashboards and reports for business intelligence and analytics reporting.
  • Develop API automation and integration solutions for data exchange between enterprise systems.

3. Required Skills.

  • Strong experience in Python and PySpark development.
  • Hands-on experience with Azure Databricks and databricks SQL.
  • Experience in Java-based streaming and ingestion frameworks.
  • Strong knowledge of Apache Kafka streaming concepts.
  • Experience working with PostgreSQL databases.
  • Experience with YugabyteDB or Cassandra-based NoSQL databases.
  • Strong SQL development and query optimization skills.
  • Hands-on experience with GitLab CI/CD pipeline development and deployment automation.
  • Understanding cloud-based data engineering and distributed processing concepts.
  • Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration.
  • Experience designing enterprise-scale data lake or lakehouse architectures.
  • Knowledge of streaming architectures and real-time analytics.
  • Familiarity with cloud monitoring and observability tools.

Key Skills:

Azure, Databricks, Java, Python, Pyspark.

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