ZipRecruiter

Log In

2

Etl Developer Remote Jobs in Georgia (NOW HIRING)

Sequoia Connect

Senior AWS Data Engineer

Atlanta, GA · Remote

$101K - $138K/yr

Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services ... Experience as an application developer for projects similar in scope and responsibility. * Strong ...

Womble Bond Dickinson

Software Engineer

Atlanta, GA · On-site +1

$72K - $121K/yr

Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory ... Use Git and Azure DevOps for version control, release management, and collaboration REQUIREMENTS:

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Informatica and IICS for ETL and data integration testing * Snowflake data warehouse architecture ...

Stefanini Group

Senior Data Engineer

Atlanta, GA · Remote

$102K - $138K/yr

Stefanini is looking for a Senior Data Engineer -Remote For quick apply, please contact Vaibhav ... Hands-on experience in Cloud data engineering (ETL/ELT, Data Ingestion techniques, IaC, Data ...

Stefanini Group

Senior Data Engineer

Atlanta, GA · Remote

$102K - $138K/yr

Stefanini is looking for a Senior Data Engineer -Remote For quick apply, please contact Vaibhav ... Hands-on experience in Cloud data engineering (ETL/ELT, Data Ingestion techniques, IaC, Data ...

Stefanini Group

Senior Data Engineer

Atlanta, GA · Remote

$102K - $138K/yr

Stefanini is looking for a Senior Data Engineer -Remote For quick apply, please contact Vaibhav ... Hands-on experience in Cloud data engineering (ETL/ELT, Data Ingestion techniques, IaC, Data ...

XTG

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ... Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and ...

Voya Financial

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Deliver ETL pipelines while coordinating with other ETL engineers onshore and offshore. Design documentation, test cases/tests ensuring reliability and mitigation strategy. Work on shared ownership ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Deliver ETL pipelines while coordinating with other ETL engineers onshore and offshore. Design documentation, test cases/tests ensuring reliability and mitigation strategy. Work on shared ownership ...

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks. * Deep ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

asburyauto

Qlik Sense Developer

Sandy Springs, GA · On-site +1

... and ETL processes • Strong problem-solving skills and attention to detail Preferred ... Primarily remote with occasional travel to office locations as needed • Flexible working hours to ...

asburyauto

Qlik Sense Developer

Sandy Springs, GA · On-site +1

... and ETL processes • Strong problem-solving skills and attention to detail Preferred ... Primarily remote with occasional travel to office locations as needed • Flexible working hours to ...

previous pagenext page

Showing results 21-40

All JobsEtl Developer JobsEtl Developer Remote JobsEtl Developer Remote Jobs in Georgia

Etl Developer Remote information

See Georgia salary details

$26

$48

$68

How much do etl developer remote jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for etl developer remote in Georgia is $48.45, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $54.18 per hour, depending on experience, location, and employer.

What is an ETL developer?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to become an ETL developer who works remotely?

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

How do ETL developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.
More about Etl Developer Remote jobs

What are the most commonly searched types of Etl Developer jobs in Georgia?

The most popular types of Etl Developer jobs in Georgia are:

What are popular job titles related to Etl Developer Remote jobs in Georgia?

For Etl Developer Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Etl Developer Remote jobs in Georgia look for?

The top searched job categories for Etl Developer Remote jobs in Georgia are:

What cities in Georgia are hiring for Etl Developer Remote jobs?

Cities in Georgia with the most Etl Developer Remote job openings:

Etl Developer Remote jobs near you
Infographic showing various Etl Developer Remote job openings in Georgia as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $100,773 per year, or $48.4 per hour.

Senior AWS Data Engineer

Sequoia Connect

Atlanta, GA • Remote

$101K - $138K/yr

Full-time

Posted 7 days ago

Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Senior AWS Data Engineer:

The Challenge (Responsibilities)

  • Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
  • Develop and manage workflows using Glue, Lambda, and Step Functions.
  • Build event-driven integrations using SNS, SQS, and related AWS services.
  • Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
  • Write and tune high-performance SQL for complex transformations and reporting.
  • Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
  • Design and Support API-based and JSON-based integrations across internal and external systems.
  • Troubleshoot operational issues, identify root causes, and implement corrective actions.
  • Contribute to documentation, deployment automation, and engineering best practices.
  • Collaborate with stakeholders and mentor junior team members where needed.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • N/A

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Requirements
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real time systems
  • Good understanding on Agents and MCP


Apply