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Seasonal Data Engineer Python Jobs in Atlanta, GA

Smart IT Frame

AWS Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

SmartIT Frame

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

Centraprise LLC

AWS Data Engineer

Alpharetta, GA · On-site

$100K - $120K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

Hexaware Technologies, Inc

Aws Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Python, EMR, Pyspark AWS Data Engineer: Qualifications (Data Engineer/Python Developer) 10+ years hands-on Python development experience for big data application. Extensive working experience in ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... Python, SQL * Platform Experience: Azure DataBricks * Project Tools: Jira, Zephyr Scale

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Seasonal Data Engineer Python information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do seasonal data engineer python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for seasonal data engineer python in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

Seasonal Data Engineer Python jobs near you

Senior Software Data Engineer (Python)

Pointwest Technologies Corp

Atlanta, GA • On-site

$110 - $130/hr

Other

Re-posted 19 days ago

Job description

Senior Software Data Engineer (Python) We are looking for a Senior Software Data Engineer – Python-- to design, build, and optimize cloud-based, serverless data pipelines and infrastructures.

You will leverage your expertise in Python, SQL, AWS, and Infrastructure as Code to deliver scalable and secure data solutions.

This role is ideal for someone with strong collaboration skills, a passion for innovation, and proven experience working with large-scale, enterprise-level projects.

Key Responsibilities
  • Design and implement serverless data pipelines using AWS services.
  • Build and maintain data lakes, ETL/ELT workflows, and data catalogs.
  • Develop and maintain automated CI/CD pipelines and Infrastructure as Code (AWS CDK/CloudFormation).
  • Ensure compliance with data governance, security, and quality standards.
  • Collaborate with data science teams to deliver accessible and reliable data solutions.
  • Mentor junior engineers, promote knowledge sharing, and champion best practices.
Key Metrics of Succes s
  • High client satisfaction and quality feedback.
  • Scalable, secure, and high-performing data solutions delivered on time.
  • Reduction in deployment errors and faster delivery cycles through automation.
  • Active contribution to team knowledge-sharing and continuous learning.
Qualifications
  • 5+ years of development experience in Python.
  • Strong expertise in AWS cloud services (Lambda, S3, Glue, Athena).
  • Experience with Infrastructure as Code (AWS CDK/CloudFormation).
  • Solid foundation in ETL/ELT processes, data modeling, and pipeline design.
  • Excellent written and verbal English communication skills.
  • Preferred experience with AWS Lake Formation, AWS Datazone, EventBridge, Step Functions.
  • CI/CD pipeline implementation and API integration experience.
Soft Skills
  • Strong problem‑solving and analytical abilities.
  • Effective communicator across technical and non‑technical teams.
  • Proactive, accountable, and adaptable in dynamic environments.
  • Curiosity and passion for continuous learning and innovation.
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