Note: The job is a remote job and is open to candidates in USA. An unnamed scientific data and AI technology company is seeking a Senior Scientific Data Engineer. The role leads the design and delivery of scientific data solutions, builds scalable data products and pipelines, and partners with product, architecture, customer-facing, and machine learning teams. It also provides technical leadership and mentorship to junior engineers.

Responsibilities

• Lead the design and development of scientific data engineering solutions
• Partner with Product Managers, Solution Architects, and technical stakeholders to define business and data requirements
• Build scalable data models, integration frameworks, and data processing pipelines
• Develop reusable Python libraries, schema components, and parsing frameworks
• Create high-quality data pipelines with comprehensive testing and validation practices
• Build data applications, dashboards, and reporting tools for scientific and business users
• Ensure data quality, reliability, and production readiness across all deliverables
• Drive continuous improvement initiatives focused on engineering quality and developer productivity
• Support Agile delivery processes and help teams successfully meet sprint commitments
• Mentor junior engineers and provide technical leadership across projects
• Collaborate with data architects, business analysts, project managers, and machine learning teams to deliver impactful solutions
• Work directly with customers and stakeholders to validate business value and successful outcomes

Skills

• 8+ years of experience building data products as a Data Engineer or related technical role
• 8+ years of hands-on experience with Python and SQL
• Strong experience designing, building, and maintaining data pipelines and data models
• Proven experience leading projects, managing requirements, and driving delivery timelines
• Experience working across cross-functional teams in customer-focused environments
• Ability to architect and implement scalable data solutions
• Excellent communication, collaboration, and stakeholder management skills
• Experience building automated testing frameworks, including unit and integration testing
• Strong understanding of Agile development methodologies
• 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
• Experience with scientific, laboratory, or pre-clinical data environments
• Experience building dashboards, reporting solutions, or data applications using React, Streamlit, Jupyter Notebooks, or similar tools
• Experience working with laboratory systems, research data, manufacturing data, or regulated data environments
• Exposure to AI-enabled data processing, schema generation, or intelligent automation tools
• Previous mentoring or technical leadership experience

Benefits

• Fully remote work opportunity for Massachusetts-based employees
• Opportunity to work with cutting-edge scientific data and AI technologies
• Collaborative, high-performance engineering environment
• Leadership and mentorship responsibilities with strong career growth potential
• Medical Insurance (100% employer paid for eligible employees and immediate family members)
• Dental Benefits
• Vision Benefits
• Unlimited Paid Time Off (PTO)
• 401(k)
• Company-paid Life Insurance
• Long-Term Disability (LTD)
• Short-Term Disability (STD)

Company Overview