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
Specialization : 
