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Remote Amazon Data Engineer Jobs in Ohio (NOW HIRING)

Data Engineer (Remote)

Cleveland, OH ยท Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Palantir Data Engineer

Perrysburg, OH ยท On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

Data Engineer/Python SQL Developer

Dayton, OH ยท Remote

$46.75 - $64.50/hr

Implement and support cloud-based data engineering capabilities leveraging AWS Lambda, AWS Glue, Amazon S3, and other relevant AWS services * Apply leading practices in database design, including ...

Description Position Summary: The Data Engineer II will play a vital role in our Data ... If fully remote: must be willing to travel * This position will require the ability to work ...

Health IT Data Engineer

Continental, OH ยท Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... This is a remote position requiring all work be performed in the continental United States. US ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey -- helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey -- helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

Data Engineer Lead-1

Columbus, OH ยท On-site +1

$110K - $132K/yr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

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Remote Amazon Data Engineer information

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What are the most commonly searched types of Amazon Data Engineer jobs in Ohio? The most popular types of Amazon Data Engineer jobs in Ohio are:
What job categories do people searching Remote Amazon Data Engineer jobs in Ohio look for? The top searched job categories for Remote Amazon Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Amazon Data Engineer jobs? Cities in Ohio with the most Remote Amazon Data Engineer job openings:

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH โ€ข Remote

$111K - $133K/yr

Full-time

Posted 29 days ago


Job description

Weโ€™re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a handsโ€‘on role where youโ€™ll manage and evolve our ELT pipelines, Snowflake environment, and Pythonโ€‘based integrations while partnering closely with analysts and systems administrators who rely on highโ€‘quality, reliable data.

What Youโ€™ll Do
  • Own the dayโ€‘toโ€‘day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build longโ€‘term institutional knowledge

What You Bring
  • Bachelorโ€™s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3โ€“5 years of handsโ€‘on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose rootโ€‘cause issues

  • Experience using GitHub for version control

Nice to Have
  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams