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Weekend Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer As a Data Engineer, you will own key parts of the pipeline lifecycle--from ingesting source data through transformation, testing, and publishing trusted datasets for downstream ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

The Data Engineers will work with the client functional SMEs within the Digital and the Business team to understand the requirements and prepare technical design. They will ensure the availability ...

Data Engineer

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

Job Title - Data Engineer Duration - Contract Location - Dallas, TX Only Local Note: Second round interviews will be in person In Client : LTI M/Delta Airlines. Top 3 Mandatory Skills and Experience:

Data Engineer

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Opportunity At Staffworxs, we don't just connect talent -- we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

They are seeking a Data Engineer to join their data engineering team, responsible for developing scalable data products and collaborating with various stakeholders. Responsibilities : • Own a ...

New

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Role - Data Engineer Location - Atlanta, GA (Onsite) Exp need - 6+ years Responsibilities: * Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and ...

Data Engineer

Alpharetta, GA · Hybrid

$111.80K - $134.20K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Location: Atlanta, GA(Hybrid) Duration: 8+ months Note: * Must be physically located in Georgia * On-site: Tuesday to Thursday (per manager's discretion) * Mandatory in-person meetings:

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

Data Engineer

Alpharetta, GA · On-site +1

$111.80K - $134.20K/yr

As a Data Engineer, you will work closely with the Solution Engineer and Data Architecture teams to design, build, and operate data integration and analytics solutions. You will play a key role in ...

Data Engineer

Atlanta, GA · Hybrid

$110.10K - $132.20K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

Data Engineer

Alpharetta, GA · On-site +1

$111.80K - $134.20K/yr

As a Data Engineer, you will work closely with the Solution Engineer and Data Architecture teams to design, build, and operate data integration and analytics solutions. You will play a key role in ...

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

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Weekend Data Engineer information

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 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 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 most commonly searched types of Data Engineer jobs in Georgia? The most popular types of Data Engineer jobs in Georgia 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:
Data Engineer

$110.10K - $132.20K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer

As a Data Engineer, you will own key parts of the pipeline lifecycle—from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights.

Responsibilities:
  • Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives
  • Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data
  • Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation
  • Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics
  • Build and deploy serverless data solutions using Azure Functions for event-driven processing and microservice integrations
  • Design and implement data orchestration workflows using platforms such as Apache Airflow and/or Astronomer to ensure reliable, monitored, and scalable pipeline execution
  • Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps)
  • Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions
  • Implement data quality frameworks, monitoring, and alerting to ensure data integrity and reliability across the platform
  • Contribute to the evolution of the data platform architecture, advocating for best practices in performance, security, and scalability
  • Participate in code reviews to uphold engineering standards
Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent professional experience)
  • 3+ years of professional experience in data engineering or a related discipline
  • Strong relational database experience, including data modeling (star schema, snowflake schema, 3NF) and advanced SQL development (T-SQL, PL/SQL, or equivalent)
  • Proficiency in Python development for data engineering use cases (pandas, PySpark, API development, scripting, testing)
  • Hands-on experience with Databricks or Snowflake for data lakehouse/warehouse architecture and large-scale data processing
  • Experience building and deploying Azure Functions or similar serverless compute for data workflows
  • Working knowledge of Git-based platforms such as GitHub or Azure DevOps for version control, branching strategies, and CI/CD pipelines
  • Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline scheduling, monitoring, and dependency management
  • Strong understanding of data warehousing concepts, ETL/ELT patterns, and data integration best practices
  • Excellent communication and collaboration skills with the ability to work cross-functionally in a fast-paced environment
Preferred Qualifications:
  • Industry certifications demonstrating proficiency in data engineering (e.g., Databricks Certified Data Engineer, Azure Data Engineer Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer Associate)
  • Experience with a major cloud platform (Azure, AWS, or GCP) including infrastructure-as-code and cloud-native data services
  • Prior experience in sports, entertainment, media, or live events industries
  • Familiarity with streaming and real-time data technologies (Kafka, Event Hubs, Spark Structured Streaming)
  • Experience with data governance, cataloging, and lineage tools (Unity Catalog, Purview, Collibra)
  • Exposure to machine learning pipelines and MLOps practices
  • Experience with containerization (Docker, Kubernetes) and microservices architecture.