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Live In Data Platform Engineer Jobs in Georgia (NOW HIRING)

M3

Senior Data Engineer

Lawrenceville, GA · On-site

$91K - $124K/yr

The Senior Data Engineer plays a critical role in designing and implementing a scalable cloud-native data platform while mentoring other engineers and ensuring high-quality standards across the data ...

M3

Senior Data Engineer

Lawrenceville, GA

$97K - $132K/yr

The Lead Data Engineer plays a foundational role in designing and implementing this platform on Databricks, defining architecture standards, ensuring code quality, and mentoring engineers across the ...

M3

Senior Data Engineer

Lawrenceville, GA · On-site

$97K - $132K/yr

The Lead Data Engineer plays a foundational role in designing and implementing this platform on Databricks, defining architecture standards, ensuring code quality, and mentoring engineers across the ...

NTT DATA North America

Data Lead

Atlanta, GA · On-site

Required : • Minimum 10+ years of experience in data engineering or analytics delivery roles. • Proven track record in leading large-scale data platform implementations end-to-end. • Strong ...

NTT DATA North America

Data Lead

Atlanta, GA · On-site

Required : • Minimum 10+ years of experience in data engineering or analytics delivery roles. • Proven track record in leading large-scale data platform implementations end-to-end. • Strong ...

Aflac

Platform Engineer III (Workday)

Columbus, GA · On-site +1

$88K - $140K/yr

If you live within 50 miles of the Aflac offices located in Columbus, GA or Columbia, SC, this role ... data, and security • Review business requirements to deploy the best solution, including ...

ITBrainiac Inc

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... in data architecture, data engineering, or 7+ large-scale data platform design Deep expertise in: Data architecture patterns (lake house, data warehouse) Data modeling methodologies (dimensional ...

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Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
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Live In Data Platform Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$101K - $138K/yr

Full-time

Re-posted yesterday

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

#LI-HR1 #LI-ONSITE
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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.

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