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Weekend Data Engineer Jobs in Georgia (NOW HIRING)

PBK

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA

$110K - $132K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Yamaha Motor Corporation, USA

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Yamaha Motor Corporation, USA is seeking a Data Engineer to join their Digital Transformation group in Kennesaw, GA. This role involves designing, building, and scaling a Customer Data Platform (CDP ...

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Booz Allen Hamilton

Data Engineer

Columbus, GA

$77K - $176K/yr

Data Engineer The Opportunity: Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before-both structured and unstructured.

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

We are looking for a Data Engineer to join our Data Engineering team and help build the data infrastructure that powers analytics, machine learning, and business decision-making at PrizePicks. This ...

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Yamaha Motor Corporation

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform ...

Yamaha Motor Corporation, U.S.A.

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform ...

Yamaha

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform ...

NAVA Software Solutions

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Location: Berkeley Heights, NJ/Atlanta, GA (Hybrid) Duration: 6 months Contract to hire role Note : Need Snowflake experience * The candidate will be responsible for building out a new ...

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ( Hybrid) Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ...

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

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 Overview The Quality Assurance Data Engineer plays a critical role in validating the integrity ...

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Georgia

Weekend Data Engineer information

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

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

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Georgia? The most popular types of Data Engineer jobs in Georgia are:
What are popular job titles related to Weekend Data Engineer jobs in Georgia? For Weekend Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Georgia look for? The top searched job categories for Weekend Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Weekend Data Engineer jobs? Cities in Georgia with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

PBK

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 20 days ago

Job description

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader AEC operations. This role owns integrations across enterprise platforms, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric. The Data Engineer ensures data is reliable, governed, secure, and available to support business visibility, project delivery, automation, and decision-making.


Your Impact:

  • Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric.
  • Implement data models, curated datasets, Lakehouse/Warehouse structures, and transformation layers to support BI, reporting, AI, and machine learning use cases.
  • Build and support API-first data services, data contracts, and integration workflows using REST, JSON, SOAP where applicable, webhooks, and related patterns.
  • Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data Factory, Azure Logic Apps, Functions, Spark notebooks, dbt, or similar tools.
  • Apply event-driven integration patterns using Event Grid, Service Bus, Kafka concepts, or similar technologies where appropriate.
  • Own the operational reliability of pipelines and integrations, including monitoring, alerting, incident response, troubleshooting, root-cause analysis, and remediation.
  • Implement data quality checks, validation, lineage, documentation, and governance practices to ensure data is accurate, trusted, and usable.
  • Partner with analytics, application, IT/Security, and business teams to support secure access, data governance, compliance, and reliable data delivery.
  • Support AI initiatives by preparing reliable datasets, including AI/ML pipelines or RAG-oriented datasets where applicable.
  • Use AI tools responsibly to improve productivity, accelerate development, support testing, and improve documentation while maintaining security and quality standards.

Here's What You'll Need:

  • 5+ years of experience designing, building, and operating production data pipelines and integrations.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field; directly relevant experience, certifications, or training demonstrating comparable expertise in data pipelines, integrations, cloud data platforms, APIs, data governance, and secure data workflows may be considered in lieu of a degree.
  • Strong SQL skills and experience with PostgreSQL or similar relational databases.
  • Proficiency in Python for data engineering, automation, and workflow development.
  • Hands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.
  • Experience with ETL/ELT pipelines, data modeling, curated datasets, orchestration, and production data workflows.
  • Strong experience with APIs and integration patterns, including REST, webhooks, authentication, error handling, retry strategies, and cross-system data movement.
  • Familiarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools.
  • Strong understanding of security, data governance, access controls, and secure handling of sensitive business information.
  • Ability to communicate clearly with technical and non-technical stakeholders in an AEC or similar business environment.
  • Operational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time.

Here's How You'll Stand Out:

  • Experience integrating enterprise platforms such as Salesforce, Deltek Vantagepoint, Autodesk Forma, Autodesk data management services, Microsoft 365, or similar systems.
  • Experience with Azure Logic Apps, Azure Functions, MuleSoft, Databricks, Snowflake, or other iPaaS/middleware and cloud data platforms.
  • Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar transformation and orchestration frameworks.
  • Experience with streaming or event-driven integrations using Event Grid, Service Bus, Kafka concepts, or similar technologies.
  • Experience with Power BI semantic models, performance optimization, and BI-ready dataset design.
  • Experience supporting AI/ML pipelines, RAG-oriented datasets, or data products used in AI-enabled workflows.
  • Strong integration owner mindset with the ability to build solutions that are maintainable, observable, secure, and supportable.
  • Business-oriented approach with a focus on data outcomes that improve delivery, visibility, automation, and decision-making.

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