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Remote Databricks Data Engineer Jobs in Cincinnati, OH

Data Engineer

Cincinnati, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Senior Data Engineer

Cincinnati, OH · Remote

$101K - $138K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines ...

... sales and engineering, driving growth in a fast-growing consultancy focused on data and AI ... LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to ...

Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling and data warehousing concepts. * Familiarity with cloud-based data platforms such as Databricks ...

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm ... REMOTE EST/CST Years of Experience: 10+ What You'll Do Newline™ is an enterprise-grade embedded ...

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Remote Databricks Data Engineer information

See Cincinnati, OH salary details

$42.7K

$124.5K

$170.3K

How much do remote databricks data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote databricks data engineer in Cincinnati, OH is $124,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Cincinnati, OH? The most popular types of Databricks Data Engineer jobs in Cincinnati, OH are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Cincinnati, OH? For Remote Databricks Data Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Cincinnati, OH look for? The top searched job categories for Remote Databricks Data Engineer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Databricks Data Engineer jobs? Cities near Cincinnati, OH with the most Remote Databricks Data Engineer job openings:
Infographic showing various Remote Databricks Data Engineer job openings in Cincinnati, OH as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,460 per year, or $59.8 per hour.

Data Engineer

Frch Nelson

Cincinnati, OH • On-site, Remote

$75K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 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: $75,000-$145,000 (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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