Lead Data Platform Engineer (Remote in ME)

• Architect and develop end-to-end data solutions for scientific and research-focused environments
• Design reusable data models, ingestion frameworks, and transformation processes
• Build and optimize large-scale data pipelines that support critical business operations
• Create robust parsing and schema-generation capabilities for diverse data formats
• Develop reusable engineering components and shared Python libraries
• Collaborate with solution architects and product teams to translate business goals into technical designs
• Ensure reliable, high-quality data delivery through automated testing and validation practices
• Build analytical applications, dashboards, and visualization tools that support customer needs
• Identify opportunities to improve engineering efficiency, scalability, and code quality
• Lead technical discussions and contribute to architectural decision-making
• Coach junior engineers and provide hands-on technical guidance
• Partner directly with stakeholders to deliver successful project outcomes and measurable value

• 8+ years of experience in data engineering, analytics engineering, or data platform development
• Expert-level proficiency with Python and SQL
• Proven success designing and deploying scalable data processing solutions
• Experience leading technical initiatives from requirements gathering through production delivery
• Strong background building ETL/ELT workflows and data integration frameworks
• Ability to manage competing priorities across multiple projects and stakeholders
• Experience implementing testing strategies, code quality standards, and development best practices
• Strong written and verbal communication skills with both technical and non-technical audiences
• Experience working within Agile software development environments

Desired Skills & Experience

• Previous experience supporting pharmaceutical, biotechnology, laboratory, or scientific research organizations
• Exposure to complex instrument-generated datasets and structured/unstructured data sources
• Experience developing user-facing reporting tools, dashboards, or data-driven applications
• Familiarity with Streamlit, React, Jupyter Notebooks, or similar technologies
• Experience leveraging AI-assisted development or data processing solutions
• Prior mentorship or team leadership experience, 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.

• Annual salary target of $140,000 - $200,000
• Fully remote position available exclusively to Maine-based candidates
• Opportunity to work on advanced data engineering and AI-driven initiatives
• Collaborative engineering culture with strong emphasis on innovation and technical excellence
• High-visibility role with leadership and growth opportunities

You will receive the following benefits

• Medical Insurance (100% employer-paid coverage for eligible employees and dependents)
• Dental Benefits
• Vision Benefits
• Unlimited Paid Time Off (PTO)
• 401(k)
• Company-Paid Life Insurance
• Short-Term Disability Coverage
• Long-Term Disability Coverage