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Remote Amazon Computer Science Jobs in Columbus, OH

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ...

Oracle Developer (Remote)

Columbus, OH · Remote

$54.50 - $67.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Bachelor's degree in computer science or equivalent training required. * 5+ years of Oracle related ...

Oracle Developer (Remote)

Columbus, OH · Remote

$54.50 - $67.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Bachelor's degree in computer science or equivalent training required. * 5+ years of Oracle related ...

Oracle Developer (Remote)

Columbus, OH · On-site +1

$54.50 - $67.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Bachelor's degree in computer science or equivalent training required. * 5+ years of Oracle related ...

AI Data Engineer Senior Consultant

Columbus, OH · On-site +1

$102.40K - $139.10K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field ... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or ...

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Showing results 1-20

Remote Amazon Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Amazon Computer Science professional, and why are they important?

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

How do remote Amazon Computer Science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

What are remote Amazon computer science jobs?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What are popular job titles related to Remote Amazon Computer Science jobs in Columbus, OH? For Remote Amazon Computer Science jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Computer Science jobs in Columbus, OH look for? The top searched job categories for Remote Amazon Computer Science jobs in Columbus, OH are:
Databricks Engineer

Databricks Engineer

Deloitte

Columbus, OH • On-site, Remote

Other

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks 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 with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Engineer on the AI & Data team, you will be responsible for...

  • Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Develop and maintain Databricks notebooks, jobs, workflows, and pipelines for data and analytics solutions
  • Translate approved technical designs into implementation tasks and document configuration, dependencies, and deployment steps
  • Support platform configuration, infrastructure setup, testing, and deployment readiness across environments
  • Work with delivery teams, data science teams, and client stakeholders to troubleshoot issues, support releases, and maintain platform performance

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 5+ years of experience with Databricks platform implementation, configuration, or development
  • Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience developing or supporting extract, transform, and load (ETL) pipelines in Databricks
  • Experience with Databricks workspace administration, machine learning operations (MLOps), or infrastructure setup
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $121,400 to $143,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks 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 with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Engineer on the AI & Data team, you will be responsible for...

  • Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Develop and maintain Databricks notebooks, jobs, workflows, and pipelines for data and analytics solutions
  • Translate approved technical designs into implementation tasks and document configuration, dependencies, and deployment steps
  • Support platform configuration, infrastructure setup, testing, and deployment readiness across environments
  • Work with delivery teams, data science teams, and client stakeholders to troubleshoot issues, support releases, and maintain platform performance

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 5+ years of experience with Databricks platform implementation, configuration, or development
  • Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience developing or supporting extract, transform, and load (ETL) pipelines in Databricks
  • Experience with Databricks workspace administration, machine learning operations (MLOps), or infrastructure setup
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $121,400 to $143,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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