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Financial Data Engineer Remote Jobs in Cincinnati, OH

Data Engineer

Cincinnati, OH ยท On-site +1

$70K - $100K/yr

Data Engineer The Data Engineer will play a critical role in developing the data infrastructure ... data, finance/resourcing/reforecasting data, IoT/sensor data). * Build and optimize data ...

Data Engineer

Cincinnati, OH ยท On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... data, finance/resourcing/reforecasting data, IoT/sensor data). * Build and optimize data ...

Data Engineer III

Cincinnati, OH ยท On-site +1

$60 - $68/hr

Data Engineer III Location: Cincinnati, OH (Onsite) Length: 6 months Pay Range: $60-$68 Job Summary ... Experience in financial services, particularly in commercial lending, underwriting, or regulatory ...

We are looking for proficient programmers to help advance AI development. As a member of ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Data Engineer/Architect III

Cincinnati, OH ยท Remote

$61.25 - $78.75/hr

Remote Duration: 7 months contract - can extend Key Responsibilities NiFi Platform Assessment & Optimization * Review existing Cloudera NiFi flows and architectures for efficiency, scalability, and ...

Data Architect / Data Engineer (contract and direct hire) - Cincinnati, OH Overview Vaco is seeking ... The engagement is fully remote and contract-based. Location: Must be in Cincinnati, OH Contract ...

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Showing results 1-20

Financial Data Engineer Remote information

See Cincinnati, OH salary details

$42.7K

$124.5K

$170.3K

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

As of May 28, 2026, the average yearly pay for financial data engineer remote 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 Financial Data Engineer in a remote role, and why are they important?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote Financial Data Engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What does a Financial Data Engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.
What are the most commonly searched types of Financial Data Engineer jobs in Cincinnati, OH? The most popular types of Financial Data Engineer jobs in Cincinnati, OH are:
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What cities near Cincinnati, OH are hiring for Financial Data Engineer Remote jobs? Cities near Cincinnati, OH with the most Financial Data Engineer Remote job openings:
Data Engineer

Data Engineer

NELSON

Cincinnati, OH โ€ข On-site, Remote

$70K - $100K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Engineer

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

Qualifications:

  • 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
  • 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.
  • 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.
  • 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.
  • Implement data validation, audit processes, and errorโ€‘handling frameworks.
  • Ensure compliance with data privacy, security standards, and IT policies.
  • Create documentation, metadata, data dictionaries, and bestโ€‘practice 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.