Job Description A leading technology organization serving the life sciences industry is hiring a
Lead Data Engineer to help build and scale data solutions that power research, development, and scientific operations. This fully remote opportunity is ideal for an experienced data engineer who enjoys owning technical solutions from design through deployment while working closely with customers, product teams, and engineering leadership.
This position combines hands-on development, technical leadership, and solution architecture. You'll work with complex scientific datasets, diverse source systems, and modern data technologies to deliver robust, production-ready platforms that drive measurable business outcomes. Success in this role requires strong Python expertise, deep data engineering experience, and the ability to lead projects in fast-paced environments.
Location: Remote - New Hampshire Residents Only
Schedule: Full-Time, Eastern Time Zone Required Skills & Experience
- 8+ years of professional experience in Data Engineering or related technical disciplines
- 8+ years of hands-on experience using Python and SQL in production environments
- Proven experience developing scalable data pipelines and data integration solutions
- Experience leading technical projects and coordinating activities across multiple stakeholders
- Strong background gathering requirements and translating them into technical deliverables
- Experience implementing automated testing and maintaining high code quality standards
- Ability to manage multiple priorities while delivering against project timelines
- Strong communication and collaboration skills
- Experience working within Agile software development methodologies
Desired Skills & Experience
- Experience supporting pharmaceutical, biotechnology, clinical research, or laboratory environments
- Familiarity with scientific, manufacturing, ELN, LIMS, CRO, or CDMO data sources
- Experience building data applications, visualizations, or reporting solutions
- Knowledge of React, Streamlit, Jupyter Notebooks, or similar technologies
- Experience working with structured and unstructured scientific datasets
- Exposure to AI-enabled development tools and automated data processing workflows
- Previous experience mentoring engineers or leading engineering initiatives
What You Will Be Doing
Daily Responsibilities - Design and build scalable data solutions that support scientific and operational business needs
- Partner with Product Managers and Solution Architects to define technical approaches and project requirements
- Develop data models, ingestion processes, and integration frameworks for complex datasets
- Create reusable Python libraries and components that improve platform scalability and maintainability
- Build and maintain high-performance data pipelines with comprehensive testing coverage
- Process data from a wide range of scientific and laboratory systems and file formats
- Develop dashboards, analytical tools, and customer-facing data applications
- Drive engineering best practices related to quality, automation, performance, and reliability
- Lead technical design sessions and contribute to architectural decisions
- Identify and resolve delivery risks, technical blockers, and process inefficiencies
- Support project execution by coordinating with cross-functional teams and stakeholders
- Mentor junior engineers and provide technical guidance across the organization
- Ensure delivered solutions meet business requirements and provide value to end users
The Offer
- Competitive base salary of $140,000 - $200,000
- Fully remote work environment
- Opportunity to work with advanced data, AI, and scientific technology initiatives
- Significant ownership and influence on critical customer-facing projects
- Collaborative and highly technical engineering culture
You will receive the following benefits
- Medical Insurance (100% employer-paid for eligible employees and dependents)
- Dental Benefits
- Vision Benefits
- Unlimited Paid Time Off (PTO)
- 401(k)
- Company-Paid Life Insurance
- Short-Term Disability Insurance
- Long-Term Disability Insurance
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Visa sponsorship is not available for this position.
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