Data Operations Engineer

Brighton Science•Cincinnati, OH

About The Position

The Data Operations Engineer is a technical role focused primarily on HubSpot, building workflows, integrations, and data movement that connect Sales, Revenue Operations, Service, and Finance in a reliable system of record. The role works with commercial, service, and finance teams to design data models, automate processes end to end, and ensure teams report consistent numbers. It also partners closely with the Data Engineer/Data Scientist on business-wide data definition and standardization. The position reports to the Chief Technology Officer and offers opportunities for career advancement as the company grows.

Requirements

Bachelor of Science degree in Information Systems, Computer Science, Business Analytics, Engineering, or related work experience.
At least 2 years of experience administering, automating, or integrating a CRM platform.
Hands-on experience building automated workflows and moving data between business systems, including use of APIs, webhooks, or iPaaS tools.
Working knowledge of SQL.
Hands-on experience working with large language models such as Claude or ChatGPT, and a practical sense of where they are useful and where they are not.
Familiarity with revenue operations concepts, including pipeline, lifecycle stages, forecasting, and quote-to-cash.
Ability to execute autonomously in the face of ambiguity.
Excellent oral presentation, organization, and project management skills.

Nice To Haves

HubSpot experience is strongly preferred; Operations Hub experience is a significant plus.
Scripting experience with Python or JavaScript.
Experience partnering with data engineering or data science on data definitions, standardization, and governance.
Experience integrating a CRM with an ERP or finance system.
Experience in a manufacturing or industrial B2B environment.

Responsibilities

Design, build, and maintain HubSpot workflows, properties, data models, pipelines, and integrations across Marketing, Sales, Service, and Finance.
Partner with Revenue Operations and Sales to automate lead routing, lifecycle stages, deal-stage hygiene, forecasting inputs, territory and ownership rules, and reporting.
Automate calibration scheduling, instrument and asset records, service tickets, renewal notifications, and data flows between field service activity and customer records.
Support finance processes across quote-to-cash, including quoting, approvals, product and pricing data, order handoff, invoicing, and revenue-recognition inputs; automate handoffs and reduce manual re-entry between HubSpot and ERP and finance systems.
Build and maintain integrations and data pipelines between HubSpot and other business systems using native integrations, iPaaS tools, APIs, and scripting as needed.
Establish and enforce data governance, including naming standards, required fields, deduplication, validation rules, and documentation.
Apply large language models to improve work such as data cleanup, classification, automation logic, and documentation.
Translate stakeholder requirements into automation designs; test, document, and train users on solutions.
Monitor production automations, troubleshoot failures, and continuously improve process performance and data quality.
Build reports and dashboards that provide teams with a clear, shared view of the business.
Solve technical challenges and problems within the development process.
Work within a Scrum team to design and develop solutions supporting business and product initiatives.
Self-manage in a rapid development environment and take ownership of project components.
Assist internal teams with collaborative testing projects.
Ensure projects align with annual and quarterly Objectives and Key Results (OKRs).
Promote inquisitiveness within the team and continuously challenge the status quo.