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Senior Amazon Data Engineer Jobs in Decatur, GA (NOW HIRING)

Sr. Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Sr. Data Engineer Alpharetta, GA (Face to face required) Position type: W2 contract Job Functions/Duties and Responsibilities: * Solve complex engineering problems and lead system design and ...

Support senior management by managing metrics reporting and performing mathematical and statistical ... Research, design, and develop new forecasting technologies to help Amazon leverage its data to ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell's industrial customers, with a focus on IoT and real-time data ...

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 ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

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 ...

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. Identifies and ...

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Showing results 1-20

Senior Amazon Data Engineer information

See Decatur, GA salary details

$79.1K

$123.3K

$170.9K

How much do senior amazon data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior amazon data engineer in Decatur, GA is $123,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $140,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a Senior Amazon Data Engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by Senior Amazon Data Engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.
What are popular job titles related to Senior Amazon Data Engineer jobs in Decatur, GA? For Senior Amazon Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Senior Amazon Data Engineer jobs in Decatur, GA look for? The top searched job categories for Senior Amazon Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Senior Amazon Data Engineer jobs? Cities near Decatur, GA with the most Senior Amazon Data Engineer job openings:
Senior Data Engineer

$101K - $138K/yr

Full-time

Re-posted 27 days ago


Job description

Overview

Job Purpose

We're seeking a talented Senior Data Engineer to join our Enterprise Architecture team in a cross-cutting role that will help define and implement our next-generation data platform. In this pivotal position, you'll lead the design and implementation of scalable, self-service data pipelines with a strong emphasis on data quality and governance. This is an opportunity to shape our data engineering practice from the ground up, working directly with key stakeholders to build mission-critical ML and AI data workflows.

We emphasize building systems that are maintainable, scalable, and focused on enabling self-service data access while maintaining high standards for data quality and governance.  The ideal candidate is a problem-solver who enjoys working on complex data systems and is passionate about data quality. You thrive in collaborative environments but can also work independently to deliver solutions. You're comfortable working directly with technical and non-technical stakeholders and can communicate complex technical concepts clearly. Most importantly, you're excited about creating systems that empower others to work with data efficiently and confidently.

Responsibilities

  • Design, build, and maintain our on-premises data orchestration platform using the best-in-breed open-source tools
  • Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
  • Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
  • Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
  • Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
  • Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
  • Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
  • Mentor junior engineers and advocate for engineering excellence in data practices

Knowledge and Experience

  • 5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
  • Demonstrated experience with orchestrating workflows, performance optimization, and operational management
  • Strong understanding of data transformation techniques, including experience with testing frameworks and deployment strategies
  • Experience with stream processing frameworks and technologies
  • Proficiency with SQL and Python for data transformation and pipeline development
  • Familiarity with containerized application deployment
  • Experience implementing data quality frameworks and automated testing for data pipelines
  • Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Knowledge and Experience 

  • Experience with self-hosted data orchestration platforms (rather than managed services)
  • Background in implementing data contracts or schema governance
  • Knowledge of ML/AI data pipeline requirements and feature engineering
  • Experience leveraging AI tools (e.g., GitHub Copilot, Cursor, Claude Code) to debug, develop unit tests and generate test cases from requirements documents
  • Experience with real-time data processing and streaming architectures
  • Familiarity with data modeling and warehouse design principles
  • Prior experience in a technical leadership role

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----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME