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Weekend Data Engineering Jobs in Georgia (NOW HIRING)

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

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 ...

Data Engineer

Alpharetta, GA

$107K - $129K/yr

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 ...

Data Engineer

Alpharetta, GA

$107K - $129K/yr

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 ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Sr Data Engineer

Duluth, GA · On-site

$130K - $135K/yr

Ensure all data engineering and data pipeline code artifacts are maintained in a version control system * Assist with the integration of data solutions into applications and downstream systems

New

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

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 ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering on Microsoft Azure, etc.,) Technical Skills, tools: * Azure Cloud technologies: * Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards ...

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Data Engineer

Atlanta, GA · On-site

$135K - $155K/yr

... cloud engineering teams to deploy and manage data solutions on Azure • Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices • Document data ...

New

Be Seen First

Data Engineer

Atlanta, GA · On-site

$135K - $155K/yr

... cloud engineering teams to deploy and manage data solutions on Azure • Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices • Document data ...

New

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

Data Engineer

Alpharetta, GA · Hybrid

$111K - $134K/yr

The Data & Analytics organization empowers AXIS to make informed, datadriven decisions by ... Contribute to engineering standards and participate in design reviews. * Partner with offshore ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Support testing of model retraining, versioning, and deployment pipelines Automation & Engineering * Develop and maintain automated testing frameworks for data pipelines and AI models * Write and ...

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Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Weekend Data Engineering jobs? Cities in Georgia with the most Weekend Data Engineering job openings:
Data Engineer

Data Engineer

Aptean

Alpharetta, GA • On-site

$107K - $129K/yr

Full-time

Re-posted 16 days ago


Job description

Overview
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.