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