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Remote Data Engineering Jobs in Ohio (NOW HIRING)

Data Engineer

Cleveland, OH · On-site +1

$70K - $100K/yr

... Architecture, Engineering, Construction) and business operational data (BIM models, CAD files ... project schedules/delivery data, finance/resourcing/reforecasting data, IoT/sensor data). * Build ...

Principal Engineer

Sharonville, OH · On-site +1

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Ability to work collaboratively with other application development and data engineering areas to ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Req ID: 364511 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Magento Support Engineer (remote) to join our team in Toronto, Ontario ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Data engineering fluency across JSON, CSV, SQL and NoSQL databases, vector stores, and ETL patterns ... Remote work. * Long-term 1099 contract at $50/hour. * A collaborative project-driven team ...

Data engineering fluency across JSON, CSV, SQL and NoSQL databases, vector stores, and ETL patterns ... Remote work. * Long-term 1099 contract at $50/hour. * A collaborative project-driven team ...

Electrical Engineering -- AI Data Trainer About The Role We partner with the world's leading AI ... Remote Commitment: 10-60 hours/week What You'll Do Design Challenging Problems -- Craft advanced ...

Location Remote in Europe. Albatross At Albatross, we're building the second pillar of AI: a ... Engineers to translate product and customer needs into scalable ML solutions. More specifically ...

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Showing results 1-20

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 May 29, 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.

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.

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.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 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. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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 cities in Ohio are hiring for Remote Data Engineering jobs? Cities in Ohio with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Ohio as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 70% Full Time, 24% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Engineer

Frch Nelson

Cleveland, OH • On-site, Remote

$70K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

The Data Engineer will play a critical role in developing the data infrastructure that supports design, planning, construction analytics, and business operations across the firm. This role focuses on building robust data pipelines, integrating architecture and design software systems, and enabling data-driven decision-making for project teams, leadership, and clients.

Attributes to support the NELSON Culture:  Guiding Principles

  • Go All In: Own the Outcome. We go all in—with urgency, follow-through, and pride in the result
  • Be Direct. Be Respectful. Be Authentic. We keep it real—with clarity, candor, and care.
  • Grow with Purpose. We embrace growth—through learning, coaching, and continuous improvement.
  • Think Bold. Execute Smart. We think boldly—and pair ambition with discipline.
  • Make Space for Everyone. We value you—and build a culture where people can thrive and do their best work.

 


Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Critical features of this job are described under the headings below. They may be subject to change at any time due to reasonable accommodation or other reasons.

 

 Data Architecture & Pipeline Development:

  • Design, develop, and maintain scalable Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines for structured and unstructured AEC (Architecture, Engineering, Construction) and business operational data (BIM models, CAD files, project schedules/delivery data, finance/resourcing/reforecasting data, IoT/sensor data).
  • Build and optimize data architectures supporting analytics, visualization, and AI/machine learning initiatives.
  • Design, build and maintain data pipelines and integrations between multiple systems/platforms leveraging tools such as Workato, Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate
  • Experience leveraging API integrations as well as direct server to server integrations
  • Ensure data is collected, stored, and accessible in reliable, scalable ways
  • Optimize data workflows for performance, security, and cost
  • Partner with IT, Enterprise and Practices to enable smooth data operations

Semantic Layer, Database & Infrastructure Management:

  • Develop and maintain cloud-based data lakes, warehouses, and relational databases (MSSQL, Azure SQL, AWS, GCP)
  • Author, maintain and manage complex database stored procedures and job schedules.
  • Partner with business intelligence teams to develop, maintain and streamline enterprise semantic layers leveraging Tableau, PowerBI and Databricks
  • Ensure data integrity, governance, versioning, and strong documentation standards.
  • Improve data accessibility for business leaders, designers and project managers.
  • Strong knowledge of Deltek Vantage Point, HubSpot and UltiPro a plus

CrossFunctional Collaboration:

  • Work with business intelligence teams to support dashboards, forecasting tools, and project performance analytics.
  • Support automation initiatives that reduce manual work in the design and project delivery process.

Analytics & Innovation:

  • Transform design and project data into standardized structures for forecasting, resource planning, carbon accounting, and operational analytics.
  • Enable integration and acceleration of Artificial Intelligence and Machine Learning (AI/ML) into business workflows.
  • Evaluate emerging technologies and help shape the firm’s digital strategy.

Data Quality, Security & Governance:

  • Implement data validation, audit processes, and errorhandling frameworks.
  • Ensure compliance with data privacy, security standards, and IT policies.
  • Create documentation, metadata, data dictionaries, and bestpractice guidelines.

 

  

Education / Experience:

  • Bachelor’s degree in data management or related field from an accredited University.
  • 10+ years’ experience; or equivalent in appropriate education and experience in design profession and/or real estate consulting

            

National Salary range: $70,000-$100,000 (compensation factors are based upon years of relevant experience, qualifications/licensure, education, and location). Additional compensation includes bonuses and benefits. Bonuses can include but are not limited to: Long Term Incentive Plan, Short Term Incentive Plan, Profit Sharing

Benefits of NELSON:  (additional benefit details can be found at: nelsonworldwide.com/careers)

  • 401(K) plan with company match
  • Full health benefits including medical, dental, and vision
  • Wellness program with rewards for healthy activities
  • Pet Insurance
  • Opportunities for career advancement
  • Paid time off and holiday pay
  • Paid parental leave
  • Flexible working schedules and work from home options based on client’s needs
  • Professional Development including discretionary support and reimbursement for registrations, certifications, and membership to a professional organization

NELSON and its related affiliates are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, religion, sex, sexual orientation, gender identity or expression, transgender, national origin, status as a protected veteran, disability or any other classification protected by law.

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