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Weekend Amazon Data Engineer Jobs in Georgia (NOW HIRING)

INFT Solutions inc

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Location: Remote Employment Type: Contract / Full-Time Job Summary We are seeking ... The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon ...

INFT Solutions Inc

Remote -AWS Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

AWS Data Engineer Location: Remote Employment Type: Contract / Full-Time Job Summary We are seeking ... The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon ...

Amazon

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Amazon Web Services, Inc. Position: Data Engineer II Location: Atlanta, GA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Staffingine LLC

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain ... Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Amazon

Tech Ops Engineer II - AMZ20957.3

Atlanta, GA · On-site

$109K - $183K/yr

Amazon Data Services, Inc. Position: Tech Ops Engineer II - AMZ20957.3 Location: Atlanta, GA Multiple Positions Available: • Lead cross-functional teams and manage programs and processes ...

Pwc

Data Engineer - Manager

Atlanta, GA

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Deloitte

Databricks Data Engineer II

Atlanta, GA

$110K - $132K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Georgia

Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are popular job titles related to Weekend Amazon Data Engineer jobs in Georgia? For Weekend Amazon Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Georgia look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Weekend Amazon Data Engineer jobs? Cities in Georgia with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

AWS Data Engineer

INFT Solutions inc

Atlanta, GA • On-site

$110K - $132K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: AWS Data Engineer
Location: Remote
Employment Type: Contract / Full-Time
Job Summary
We are seeking a highly skilled AWS Data Engineer with strong experience in building scalable cloud-native data platforms and ETL pipelines on AWS. The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon EKS, Kubernetes, Lambda, S3 Data Lake architectures, SQS, KEDA, Glue Data Catalog, Glue Data Quality, and CloudWatch.
Key Responsibilities

Design, develop, and maintain scalable ETL pipelines using AWS Glue and Apache Spark (PySpark).

Build and orchestrate data workflows using AWS Step Functions.

Design and implement S3 Data Lake architectures following AWS best practices.

Develop and deploy containerized applications on Amazon EKS using Kubernetes.

Build event-driven data processing solutions using Amazon SQS, AWS Lambda, and KEDA for auto-scaling.

Manage metadata using AWS Glue Data Catalog.

Implement data validation and governance using AWS Glue Data Quality.

Monitor applications and data pipelines using Amazon CloudWatch.

Optimize ETL jobs, Spark workloads, and Kubernetes deployments for performance and scalability.

Collaborate with architects, developers, DevOps, and business stakeholders to deliver robust cloud data solutions.

Participate in Agile ceremonies including sprint planning, code reviews, and production deployments.

Required Skills

5+ years of experience in Data Engineering or Cloud Engineering.

Strong hands-on experience with AWS Glue.

Experience building Spark ETL pipelines using PySpark.

Experience with AWS Step Functions.

Strong knowledge of Amazon S3 Data Lake architecture and storage patterns.

Hands-on experience with Amazon EKS and Kubernetes.

Experience implementing event-driven architectures using Amazon SQS, AWS Lambda, and KEDA.

Experience with AWS Glue Data Catalog and Glue Data Quality.

Strong experience monitoring AWS workloads using Amazon CloudWatch.

Good understanding of distributed data processing and cloud-native application design.

Experience working in Agile/Scrum environments.
Preferred Skills

Python / PySpark

SQL

Terraform or CloudFormation

Docker

Git

CI/CD (Jenkins, GitHub Actions, CodePipeline)

Kafka

Apache Airflow

Delta Lake / Iceberg / Lake Formation

IAM, VPC, CloudTrail
Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Mandatory Skills

AWS Glue

Spark ETL / PySpark

AWS Step Functions

Amazon S3 Data Lake

Amazon EKS

Kubernetes

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