Lead Data Engineer, Scientific Data – Boston, Ma

Motion Recruitment; Boston (MA); Presencial; USD 140 000 - 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical Insurance

Dental Benefits

Vision Benefits

Unlimited PTO

401(k)

Life Insurance

Short-Term Disability Insurance

Long-Term Disability Insurance

Resumo da oferta

Motion Recruitment is seeking a Lead Data Engineer, Scientific Data to join a rapidly growing tech company at the intersection of life sciences, data engineering, and AI. You will design and deliver data engineering solutions for scientific research, architect scalable data models, and mentor engineers across cross-functional teams.

You will collaborate with product managers, data scientists, and customers to transform complex laboratory data into AI-ready assets, build reusable data processing

Qualificações

• 8+ years of experience building data products as a Data Engineer or similar role.
• 8+ years of hands-on experience with Python and SQL.
• Strong experience designing and implementing scalable data pipelines and data architectures.
• Experience leading technical projects, managing requirements, and driving delivery timelines.
• Proven ability to manage multiple customer-facing implementations across cross-functional teams.
• Strong understanding of software development best practices, testing methodologies, and code quality standards.
• Experience building reusable frameworks, libraries, and integration solutions.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Proven leadership experience mentoring engineers and driving team success.

Responsabilidades

• Lead the design and delivery of data engineering solutions that support scientific and research-driven organizations.
• Architect scalable data models, pipelines, and integration frameworks.
• Develop data products that transform complex scientific data into high-quality, consumable datasets.
• Build and maintain robust Python-based libraries and reusable data processing components.
• Leverage AI-powered tools and automation techniques to accelerate data ingestion, schema development, and parser creation.
• Collaborate with product managers, solution architects, and engineering teams to define and deliver technical solutions.
• Develop dashboards, applications, and reporting solutions that improve data accessibility and usability.
• Ensure high levels of data quality through comprehensive testing, validation, and engineering best practices.
• Identify process improvements that enhance developer productivity and product quality.
• Mentor junior engineers and provide technical leadership across projects and initiatives.
• Drive successful sprint execution and proactively remove obstacles impacting team delivery.
• Work directly with customers to ensure solutions meet business objectives and deliver measurable value.

Conhecimentos

Lead data engineering

Python

SQL

Data pipelines

Technical leadership

Project management

Stakeholder communication

Mentoring engineers

Scalable data architectures

AI-ready data concepts

Ferramentas

React

Streamlit

Jupyter Notebook

Descrição da oferta de emprego

Job Description A rapidly growing technology company at the intersection of life sciences, data engineering, and artificial intelligence is seeking a Lead Data Engineer, Scientific Data to join its high-impact engineering team.
This role is ideal for a senior data engineering professional who enjoys leading technical initiatives, mentoring engineers, and building scalable data solutions that directly support scientific research and innovation. You will be responsible for designing and developing data products, architecting complex data solutions, and helping transform large volumes of scientific and laboratory data into valuable, AI-ready assets.
You will collaborate closely with product managers, solution architects, data architects, machine learning engineers, and customers to deliver mission-critical solutions. This position offers a unique opportunity to work with cutting-edge technologies while solving complex data challenges across scientific and research environments. Required Skills & Experience

• 8+ years of experience building data products as a Data Engineer or similar role
• 8+ years of hands-on experience with Python and SQL
• Strong experience designing and implementing scalable data pipelines and data architectures
• Experience leading technical projects, managing requirements, and driving delivery timelines
• Proven ability to manage multiple customer-facing implementations across cross-functional teams
• Strong understanding of software development best practices, testing methodologies, and code quality standards
• Experience building reusable frameworks, libraries, and integration solutions
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders
• Proven leadership experience mentoring engineers and driving team success

Desired Skills & Experience

• Experience working with scientific, laboratory, manufacturing, or research data
• Experience supporting data generated from ELN, LIMS, CRO, CDMO, or laboratory instrumentation systems
• Experience with React, Streamlit, Jupyter Notebook, or similar data visualization technologies
• Familiarity with AI-driven data processing, schema generation, and automation workflows
• Experience partnering with machine learning and data science teams
• Background in life sciences, biotechnology, pharmaceuticals, or scientific research environments
• Experience developing customer-facing data platforms and analytical applications

What You Will Be Doing Daily Responsibilities: 80% Hands-On Engineering / 20% Technical Leadership

• Lead the design and delivery of data engineering solutions that support scientific and research-driven organizations
• Architect scalable data models, pipelines, and integration frameworks
• Develop data products that transform complex scientific data into high-quality, consumable datasets
• Build and maintain robust Python-based libraries and reusable data processing components
• Leverage AI-powered tools and automation techniques to accelerate data ingestion, schema development, and parser creation
• Collaborate with product managers, solution architects, and engineering teams to define and deliver technical solutions
• Develop dashboards, applications, and reporting solutions that improve data accessibility and usability
• Ensure high levels of data quality through comprehensive testing, validation, and engineering best practices
• Identify process improvements that enhance developer productivity and product quality
• Mentor junior engineers and provide technical leadership across projects and initiatives
• Drive successful sprint execution and proactively remove obstacles impacting team delivery
• Work directly with customers to ensure solutions meet business objectives and deliver measurable value

The Offer

• Competitive base salary: $140,000 – $200,000
• Performance-based bonus opportunities
• High-growth environment focused on data, AI, and scientific innovation
• Technical leadership and career advancement opportunities
• Collaborative and mission-driven engineering culture

You will receive the following benefits:

• 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
• Short-Term Disability Insurance
• Long-Term Disability Insurance
  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.