Lead Integrations Engineer
Location: Remote, United States
Salary: $190,000 per year
Job Type: Full-Time | Experience: 5+ Years | Work Model: Remote
Must be a U.S. citizen or Green Card holder.
Position Overview
Our client is seeking a Lead Integrations Engineer to lead enterprise data integrations and migrations for leading chemical and materials companies.
This role combines data engineering and solutions engineering, with responsibility for managing integration projects from initial scoping through implementation and go-live. The ideal candidate has strong ETL and data pipeline expertise, hands-on software engineering experience, and a proven track record of leading customer-facing technical projects independently.
Key Responsibilities
Lead end-to-end enterprise integration and data migration projects, from scoping and planning through implementation and go-live.
Collaborate with customer IT teams and subject matter experts to define data mappings, transformations, and integration requirements.
Build and maintain customer-specific connectors using standardized integration frameworks.
Develop and manage ETL processes, data pipelines, API integrations, and system synchronization workflows.
Work with technologies such as Python or Node.js, RESTful APIs, event-driven architectures, and AWS.
Leverage AI coding agents and collaborative engineering resources to accelerate development while ensuring code quality and technical accuracy.
Serve as the primary technical point of contact for integration projects, providing regular updates and coordinating with customer stakeholders.
Troubleshoot integration issues and ensure reliable data exchange between enterprise systems.
Travel occasionally for customer meetings and project engagements, approximately once per quarter.
Required Qualifications
5–15 years of experience in software engineering, data engineering, integration engineering, or solutions engineering.
Proven experience independently owning customer-facing technical projects from initial scoping through deployment and go-live.
Strong hands-on experience with ETL processes, data pipelines, and data transformation.
Proficiency in Python or Node.js, RESTful APIs, event-driven architectures, and AWS.
Experience integrating enterprise systems and managing data synchronization or system orchestration.
Experience working at a startup or within the chemical, materials, or life sciences industries.
Strong communication skills and the ability to collaborate with customer IT teams, business stakeholders, and subject matter experts.
Ability to work remotely from the United States while supporting East Coast business hours.
Experience with Databricks or relevant certifications.
Willingness to travel approximately once per quarter for customer visits.
Preferred Qualifications
Background in enterprise data platforms, scientific software, or chemical and materials technology.
Experience using AI coding assistants or AI agents in software development workflows.