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Data Engineer Remote Work From Home Jobs in Ohio

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 ...

WORK FROM HOME

Cleveland, OH ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Toledo, OH ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Blacklick, OH ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Akron, OH ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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Data Engineer Remote Work From Home information

What is the difference between Data Engineer Remote Work From Home vs Data Analyst Remote Work From Home?

AspectData Engineer Remote Work From HomeData Analyst Remote Work From Home
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote, independent analysis, reporting tools
Industry UsageTech, finance, healthcareMarketing, retail, finance
Common Search IntentData engineering jobs, remote data engineering rolesData analysis jobs, remote data analyst roles

Data Engineer remote work from home roles focus on building and maintaining data pipelines, requiring technical skills and engineering certifications. Data Analysts, while also working remotely, primarily analyze data and generate reports. Both roles are in high demand across industries and often share similar remote work environments, but their core responsibilities and skill sets differ.

What are Data Engineer Remote Work From Home jobs?

Data Engineer Remote Work From Home jobs involve designing, building, and maintaining data systems and pipelines for organizations, all while working remotely. These professionals manage, optimize, and organize data so it can be used effectively by analysts and other stakeholders. Remote data engineers use tools such as SQL, Python, and cloud services to ensure data is reliable and accessible, collaborating with teams virtually. This role offers flexibility in location and often requires strong communication and self-management skills.

How do Data Engineers working remotely typically collaborate with other team members?

Remote Data Engineers frequently collaborate with data scientists, analysts, and software engineers using digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, code reviews, and shared documentation help ensure that everyone stays aligned on project goals and timelines. Asynchronous communication is often used to accommodate different time zones, making clear documentation and proactive updates essential. Building strong relationships remotely may require extra effort, but it is key to maintaining productivity and fostering teamwork.

What are the key skills and qualifications needed to thrive as a Data Engineer in a remote work-from-home setting, and why are they important?

To thrive as a Data Engineer in a remote work-from-home role, you need expertise in data modeling, ETL processes, programming languages like Python or SQL, and typically a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Hadoop, cloud data platforms (AWS, Azure, Google Cloud), and relevant certifications like AWS Certified Data Analytics are often required. Strong problem-solving skills, self-motivation, and effective communication are crucial for managing projects and collaborating virtually. These skills and qualities ensure the efficient design, implementation, and maintenance of data infrastructure, enabling reliable data-driven decision-making even in a remote environment.
What are popular job titles related to Data Engineer Remote Work From Home jobs in Ohio? For Data Engineer Remote Work From Home jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Work From Home jobs in Ohio look for? The top searched job categories for Data Engineer Remote Work From Home jobs in Ohio are:
What cities in Ohio are hiring for Data Engineer Remote Work From Home jobs? Cities in Ohio with the most Data Engineer Remote Work From Home job openings:
Infographic showing various Data Engineer Remote Work From Home job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH โ€ข Remote

$111K - $133K/yr

Full-time

Posted 4 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