Job Description An innovative data and technology organization serving the life sciences sector is expanding its engineering team and seeking a Lead Data Platform Engineer to help scale complex scientific data solutions. This fully remote opportunity is ideal for a senior-level engineer who enjoys solving challenging data problems, guiding technical teams, and delivering impactful customer-facing solutions.
In this role, you will take ownership of designing and implementing modern data architectures that transform highly technical research and laboratory datasets into trusted, usable business assets. You'll work in a collaborative environment alongside product leaders, architects, analysts, and fellow engineers while influencing technical direction and engineering best practices.
Location: Remote - Maine Residents Only
Schedule: Full-Time, Eastern Time Zone Required Skills & Experience 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
What You Will Be Doing Daily Responsibilities 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
The Offer 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
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.