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

Associate - Data Engineering

Atlanta, GA · On-site

$110.10K - $132.20K/yr

This is a hands-on engineering role for a strong software developer with experience in Python and backend API development, along with exposure to data platforms and workflow-driven systems. The role ...

... live well. With over 160 years of experience as a family company, we look ahead while remaining ... In this role, you will apply your knowledge of modern infrastructure and cloud software engineering ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Contribute to the evolution of the data platform architecture, advocating for best practices in ... Prior experience in sports, entertainment, media, or live events industries * Familiarity with ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... YOU MUST HAVE * 8 plus years of experience in software engineering, data engineering, or ML ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... YOU MUST HAVE * 8 plus years of experience in software engineering, data engineering, or ML ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117.90K - $155.40K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Qualifications YOU MUST HAVE * 8 plus years of experience in software engineering, data engineering ...

Data Engineer 3

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Participate in Agile ceremonies and contribute to overall delivery planning * Advocate and ... Cloud Platform: Microsoft Azure (Data Engineering ecosystem) * Data & Programming: Python, SQL

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Working experience with development and maintenance of data pipelines on the DataBricks platform in ... Data Engineering on Microsoft Azure, etc.

This remote position is open to individuals who live in, or are open to relocating to, the ... A minimum of 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform ...

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Showing results 1-20

Live In Data Platform Engineer information

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 are the most commonly searched types of Data Platform Engineer jobs in Georgia? The most popular types of Data Platform Engineer jobs in Georgia are:
What are popular job titles related to Live In Data Platform Engineer jobs in Georgia? For Live In Data Platform Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Georgia look for? The top searched job categories for Live In Data Platform Engineer jobs in Georgia are:
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Senior Data Platform Developer - AI Platform

Geotab

Atlanta, GA

Other

Medical, Dental, Retirement

Posted 24 days ago


Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader - we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab's data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.
  • Develop processes to enrich Geotab's big data with telematics data at scale.
  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
  • Create and maintain documentation for architecture, requirements, and process flows.
  • Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
  • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
  • 3-5 years experience in a software developer or a similar role. 
  • 3-5 years experience in developing production-level systems using Python 3.
  • 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.