
Lead Data Platform Engineer (Remote in ME)
Remote · USFull-time$153–198K/yrSeen 1w agoSeen in employer's feed 4 days ago
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At a glance
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Job overview
The Lead Data Platform Engineer will design and implement data architectures that turn scientific and laboratory datasets into usable business assets. The role works with product leaders, architects, analysts, engineers, and stakeholders to shape technical direction and deliver customer-facing solutions. It is fully remote for Maine residents and requires Eastern Time Zone availability. The position includes technical leadership, architectural decision-making, and coaching junior engineers.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
$153000 - $198000
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
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8+ years of experience in data engineering, analytics engineering, or data platform development
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Expert-level proficiency with Python and SQL
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Proven success designing and deploying scalable data processing solutions
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Experience leading technical initiatives from requirements gathering through production delivery
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Strong background building ETL/ELT workflows and data integration frameworks
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Ability to manage competing priorities across multiple projects and stakeholders
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Experience implementing testing strategies, code quality standards, and development best practices
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Strong written and verbal communication skills with both technical and non-technical audiences
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Experience working within Agile software development environments
Desired Skills & Experience
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Previous experience supporting pharmaceutical, biotechnology, laboratory, or scientific research organizations
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Exposure to complex instrument-generated datasets and structured/unstructured data sources
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Experience developing user-facing reporting tools, dashboards, or data-driven applications
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Familiarity with Streamlit, React, Jupyter Notebooks, or similar technologies
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Experience leveraging AI-assisted development or data processing solutions
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Prior mentorship or team leadership experience
What You Will Be Doing Daily Responsibilities
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Architect and develop end-to-end data solutions for scientific and research-focused environments
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Design reusable data models, ingestion frameworks, and transformation processes
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Build and optimize large-scale data pipelines that support critical business operations
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Create robust parsing and schema-generation capabilities for diverse data formats
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Develop reusable engineering components and shared Python libraries
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Collaborate with solution architects and product teams to translate business goals into technical designs
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Ensure reliable, high-quality data delivery through automated testing and validation practices
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Build analytical applications, dashboards, and visualization tools that support customer needs
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Identify opportunities to improve engineering efficiency, scalability, and code quality
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Lead technical discussions and contribute to architectural decision-making
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Coach junior engineers and provide hands-on technical guidance
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Partner directly with stakeholders to deliver successful project outcomes and measurable value
The Offer
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Annual salary target of $140,000 - $200,000
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Fully remote position available exclusively to Maine-based candidates
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Opportunity to work on advanced data engineering and AI-driven initiatives
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Collaborative engineering culture with strong emphasis on innovation and technical excellence
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High-visibility role with leadership and growth opportunities
You will receive the following benefits
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Medical Insurance (100% employer-paid coverage for eligible employees and dependents)
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Dental Benefits
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Vision Benefits
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Unlimited Paid Time Off (PTO)
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401(k)
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Company-Paid Life Insurance
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Short-Term Disability Coverage
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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.
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
How this job compares
Set against the 460 open Data Platform Engineer jobs on Olive Jobs, counted November 2, 2026.
- Pay
- This posting$153–198K/yr
- US median$130–235K/yr390 salary ranges
This range's midpoint, $176K, is close to the US median midpoint ($175K) — in the middle half of Data Platform Engineer salary ranges across the US.
- Openings
- Olive Jobs lists 460 open Data Platform Engineer jobs across the US. 21% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Data Platform Engineer postings that state a minimum ask for 6 years at the median (379 postings).
- Education
- 84 of the 460 open Data Platform Engineer jobs (18%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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