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Seasonal Data Engineer Python Jobs in Atlanta, GA

Mind Ware Inc

(Data Engineer/Python Developer)

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer/Python Developer Location:- Alanta, GA (Client in Person interview) Job Type: Fulltime Primary Skills : Azure Data Bricks, Data Factory, Pyspark and Master Data Management : A seasoned ...

E-Solutions, Inc.

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 ...

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 ...

Ekcel Technologies Inc

AWS Data Eng

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 ...

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

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any database 2 years ... Data Engineer Ability to operate independently and proactively and drive the business forwards ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA

$110K - $132K/yr

Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any database 2 years ... Data Engineer Ability to operate independently and proactively and drive the business forwards ...

STEMtech

Data Engineer

Atlanta, GA

$110K - $132K/yr

... Uses Python, "R", Informatica, and other Big Data tools and technologies to code the data Engineering routines Designs and develops the Data Engineering routines for feature extraction, feature ...

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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 Jul 30, 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

(Data Engineer/Python Developer)

Mind Ware Inc

Atlanta, GA • On-site

$110K - $132K/yr

Other

Posted 6 days ago

Job description

Role : Data Engineer/Python Developer
Location:- Alanta, GA (Client in Person interview)
Job Type: Fulltime

Primary Skills : Azure Data Bricks, Data Factory, Pyspark and Master Data Management
 
Job Description :
A seasoned Data Engineer specialising in enterprise-scale data platform design across Databricks and Microsoft Fabric (Azure), with a technology-agnostic philosophy that delivers portable, future-proof solutions. Recognised for deep expertise in Medallion architecture, metadata-driven pipeline orchestration, and distributed processing with Apache Spark, paired with a strong command of data governance, Master Data Management, and enterprise catalog tooling. Rounds out a comprehensive engineering profile with disciplined CI/CD practices, Infrastructure-as-Code, and data quality observability frameworks that ensure reliable, production-grade data systems at scale.
 
•     Proficient across Databricks and Microsoft Fabric (Azure) with a technology-agnostic approach, designing portable solutions that leverage the strengths of each platform interchangeably.
•     Architects and implements Medallion (Bronze/Silver/Gold) data lake frameworks, enforcing clear separation of raw ingestion, conformance, and curated analytical layers.
•     Designs and orchestrates fault-tolerant, scalable data pipelines using Azure Data Factory, Databricks Workflows, and Microsoft Fabric Pipelines — augmented by metadata-driven, configuration-as-code automation frameworks that enable dynamic pipeline generation, parameterization, and self-service onboarding of new data sources with minimal manual effort.
•     Applies Apache Spark (PySpark / Spark SQL) for large-scale distributed data processing, transformation, and performance-tuned query optimization across batch and streaming workloads.
•     Implements Master Data Management (MDM) solutions including golden-record creation, entity resolution, probabilistic/deterministic matching, and deduplication to ensure a single source of truth.
•     Enforces data governance, stewardship, and data-contract standards — defining ownership, access policies, SLA commitments, and end-to-end lineage — while configuring enterprise data catalogs via Unity Catalog (Databricks) and Microsoft Purview (Fabric/Azure) for asset discovery, classification, sensitivity labeling, and access control.
•     Establishes data quality frameworks and observability pipelines with automated profiling, anomaly detection, and SLA monitoring to proactively detect and remediate data issues in production.
•     Applies CI/CD practices, Git-based version control, Infrastructure-as-Code (IaC), and rigorous unit/integration testing for Python and SQL codebases to ensure reliable, repeatable deployments.

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