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Remote Data Engineering Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Synergy

Palantir Data Engineer

Perrysburg, OH · 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 ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (preferred) * 3-5 years of hands‑on experience in a data engineering role * Strong SQL skills and a solid ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Minimum seven (7) years of data engineering experience. * Strong SQL development skills.

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

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 ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

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 ...

Paychex

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

CourtAvenue

$125 - $140/hr

... Remote (U.S.). Candidates in TX, CA, IL, MN, and OH preferred. Rate $125 to $140/hour, based on ... both data engineers and senior marketing stakeholders. What you'll do - Lead the technical ...

Troutman Pepper

Senior Data Engineer

Cincinnati, OH · Remote

$101K - $138K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Provide secondary support for Data Integration & Platform Engineering responsibilities, including ... If fully remote: must be willing to travel * This position will require the ability to work ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Provide secondary support for Data Integration & Platform Engineering responsibilities, including ... If fully remote: must be willing to travel * This position will require the ability to work ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Provide secondary support for Data Integration & Platform Engineering responsibilities, including ... If fully remote: must be willing to travel * This position will require the ability to work ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Ohio

Remote Data Engineering information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do remote data engineering jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data engineering in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What are popular job titles related to Remote Data Engineering jobs in Ohio? For Remote Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Ohio look for? The top searched job categories for Remote Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Engineering jobs? Cities in Ohio with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Ohio as of July 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.
Senior Data Engineer 2026 - US,UK

Senior Data Engineer 2026 - US,UK

Aimpoint Digital

On-site, Remote

$116K - $153K/yr

Full-time

Re-posted 9 days ago

Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes
  • Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 2+ years' experience with dbt Core and/or dbt Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Comfortable working independently on individual workstream, owning end-to-end delivery from design through production
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.

Apply