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Seasonal Data Engineer Python Jobs in Georgia (NOW HIRING)

Aptean

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note: Candidates must be authorized to work in the ... Develop Python and PySpark notebooks to cleanse, transform, and enrich data across medallion ...

STEMtech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... 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 ...

CEDENT

GCP Data Engineer

Alpharetta, GA

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data ... Python, PySpark, LookML, SQL, GCP Data Studio, and GCP Data Flow. Your ability to tell compelling ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... Strong proficiency in programming languages such as Python. Experience in developing and ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Position: Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 ... Write and maintain test scripts using Python and SQL * Apply strong data modeling principles to ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in programming languages such as Python, Java, or Scala. * Strong knowledge of SQL, data modeling, and query optimization. * Experience with CI/CD tools and version control (e.g., Git ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Minimum 8 years of experience working in IT department with Data & Analytics responsibilities * 4+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,) * Expertise in creating ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

The ideal candidate must have data science and machine learning foundations with strong Python and full stack engineering skills with Angular and can translate business problems into effective secure ...

Purple Drive Technologies

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... in Python for scripting and automation. Key Responsibilities: • Design, build, and maintain ... in data engineering or a similar role. • Strong expertise in SQL with the ability to write ...

Yamaha Motor Corporation, USA

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

... Python, dbt, and modern data platforms. • Experience with digital and behavioral data (e.g., GA4), identity resolution, customer data modeling, and enterprise-scale data integration. • Hands-on ...

Equifax, Inc.

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the ... Proficiency in Python development. * Professional experience with SQL. * Proven ability to ...

Seven Seven Software

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

• Snowflake data engineer will be responsible for architecting large-scale data intelligence ... Python and Snowflakes SnowSQL Writing SQL queries against Snowflake. • Understanding data ...

Diverse Lynx

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Diverse Lynx is seeking a GCP Data Engineer to join their team. The role involves defining data ... Preferred : • Databricks, Python (and/or Scala) and PySpark/Scala-Spark. • Database solutions ...

TriOptus LLC

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to ... Create and maintain UNIX shell scripts and Python scripts for automation and data workflows.

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Seasonal Data Engineer Python information

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.

What cities in Georgia are hiring for Seasonal Data Engineer Python jobs? Cities in Georgia with the most Seasonal Data Engineer Python job openings:
Seasonal Data Engineer Python jobs near you
Data Engineer

Data Engineer

Aptean

Alpharetta, GA • On-site

$107K - $129K/yr

Full-time

Posted 8 days ago

Job description

Overview
Data Engineer
Alpharetta, GA (Onsite)
Note: Candidates must be authorized to work in the United States without current sponsorship. Aptean is unable to sponsor work authorization at this time.
Are you ready for what's next, now?
Role Overview
Aptean is seeking a hands-on Data Engineer to build, test, and maintain scalable data ingestion and transformation pipelines on Microsoft Fabric. This role is execution-focused and centered on delivering high-quality data solutions that support enterprise reporting, analytics, and AI use cases. The ideal candidate brings experience in modern lakehouse environments and a strong sense of ownership with a willingness to learn.
About the Role
As a Data Engineer, you will be responsible for developing and maintaining data pipelines across the medallion architecture (bronze, silver, gold) using Microsoft Fabric and Azure technologies. You'll work closely with senior engineers, analysts, and business stakeholders to translate requirements into reliable, scalable data engineering solutions. This role requires strong hands-on experience with Python, PySpark, and data pipeline orchestration tools, as well as a focus on data quality, performance optimization, and operational excellence.
Key Responsibilities
  • Build and maintain data ingestion pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks) and Azure Data Factory
  • Develop Python and PySpark notebooks to cleanse, transform, and enrich data across medallion architecture layers
  • Implement Delta Lake patterns including partitioning, schema evolution, and incremental loads
  • Apply data quality checks including null handling, duplicate detection, schema validation, and SCD logic
  • Develop reusable, metadata-driven, and parameterized pipeline frameworks
  • Troubleshoot pipeline failures, performance issues, and data discrepancies; perform root-cause analysis
  • Participate in code reviews, testing, and CI/CD processes using Git-based workflows
  • Support gold-layer datasets and semantic models for Power BI consumption
  • Monitor pipelines and resolve operational issues within defined SLAs; support on-call rotations as needed
  • Maintain technical documentation such as data dictionaries, mappings, and runbooks
  • Collaborate cross-functionally to deliver high-quality data engineering solutions
About You
  • 3-5 years of experience building data pipelines in production or near-production environments
  • Hands-on experience with Python and PySpark
  • Experience with Azure Data Factory or similar orchestration tools
  • Familiarity with Microsoft Fabric (or strong experience in Azure Synapse/Databricks with willingness to learn Fabric)
  • Solid understanding of SQL, data modeling, and performance optimization
  • Knowledge of medallion architecture and Delta Lake concepts
  • Experience implementing data quality checks and basic SCD handling
  • Familiarity with Git, branching, and CI/CD practices (Azure DevOps or GitHub Actions)
  • Exposure to Power BI and semantic data models is a plus
  • Understanding of data governance concepts such as schema versioning and access controls preferred
  • Strong problem-solving skills, attention to detail, and ownership mindset
  • Effective communication skills and ability to collaborate with technical and business teams
What's in It for You
  • Opportunity to work with modern data technologies including Microsoft Fabric and Azure
  • Collaborative environment with experienced data engineering professionals
  • Exposure to enterprise-level data, analytics, and AI initiatives
  • Growth opportunities through hands-on learning and ownership of impactful projects

About Aptean
At Aptean, our mission is to solve tomorrow's unique challenges today with unrivaled,
purpose-built software and superior customer experiences from people who care.
Aptean is a global provider of mission-critical, industry-specific software solutions.
Aptean' s purpose-built ERP and supply chain management solutions help address the
unique challenges facing process and discrete manufacturers, distributors and other
focused organizations. Aptean' s compliance solutions are built for companies serving
specific markets such as finance, healthcare, biotech and pharmaceuticals, over 10,000
highly specialized organizations in more than 20 industries and 80 countries rely on
Aptean to streamline their everyday operations.
"At Aptean, our global and diverse employee base is our greatest asset. It is through
embracing and understanding our differences that we are able to harness our individual
power to maximize the success of our customers, our employees and our company." -
TVN Reddy
Aptean pledges to promote a company culture where diversity, equity and inclusion are
central. We are committed to applying this principle as we interact with our customers,
build our teams, cultivate our leaders and shape a company in which any employee can
succeed, regardless of race, color, sex, national origin, sexuality and gender identity,
religion, disability or age. Celebrating our diverse experiences, opinions and beliefs
allows us to embrace what makes us unique and to use this as an asset in bringing
innovative solutions to our customer base.

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