Senior Scientific Data Engineer (Remote in MA)

Motion Recruitment; Boston (MA); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Unlimited PTO

401(k)

Company-paid Life Insurance

Long-Term Disability (LTD)

Short-Term Disability (STD)

Job summary

Motion Recruitment is seeking a Senior Scientific Data Engineer to join a fully remote team focused on transforming scientific and laboratory data into scalable, production-ready data products. The role emphasizes data engineering, life sciences collaboration, and AI-enabled solutions, with MA remote eligibility.

The position requires 8+ years of experience, strong Python/SQL skills, and a track record of delivering data pipelines and models in cross-functional settings.

Qualifications

• 8+ years of experience building data products as a Data Engineer or related technical role.
• 8+ years of hands-on experience with Python and SQL.
• Strong experience designing, building, and maintaining data pipelines and data models.
• Proven experience leading projects, managing requirements, and driving delivery timelines.
• Experience working across cross-functional teams in customer-focused environments.

Responsibilities

• Lead the design and development of scientific data engineering solutions.
• Partner with Product Managers, Solution Architects, and technical stakeholders to define business and data requirements.
• Build scalable data models, integration frameworks, and data processing pipelines.
• Develop reusable Python libraries, schema components, and parsing frameworks.
• Create high-quality data pipelines with comprehensive testing and validation practices.
• Build data applications, dashboards, and reporting tools for scientific and business users.
• Ensure data quality, reliability, and production readiness across all deliverables.
• Drive continuous improvement initiatives focused on engineering quality and developer productivity.
• Support Agile delivery processes and help teams successfully meet sprint commitments.
• Mentor junior engineers and provide technical leadership across projects.
• Collaborate with data architects, business analysts, project managers, and machine learning teams to deliver impactful solutions.
• Work directly with customers and stakeholders to validate business value and successful outcomes

Skills

Data engineer experience

Python

SQL

Data pipelines

Data modeling

Project leadership

Cross-functional teams

Agile

Testing frameworks

Tools

React

Streamlit

Jupyter Notebooks

Job description

Job Description A rapidly growing scientific data and AI technology company is seeking a Senior Scientific Data Engineer to join its fully remote team. This role offers the opportunity to work at the intersection of data engineering, life sciences, and artificial intelligence, helping organizations transform complex scientific and laboratory data into scalable, production-ready data products.

Location

Remote - Massachusetts Residents Only

Schedule

Full-Time, Eastern Time Zone Preferred

Required Skills & Experience

• 8+ years of experience building data products as a Data Engineer or related technical role
• 8+ years of hands-on experience with Python and SQL
• Strong experience designing, building, and maintaining data pipelines and data models
• Proven experience leading projects, managing requirements, and driving delivery timelines
• Experience working across cross-functional teams in customer-focused environments
• Ability to architect and implement scalable data solutions
• Excellent communication, collaboration, and stakeholder management skills
• Experience building automated testing frameworks, including unit and integration testing
• Strong understanding of Agile development methodologies

Desired Skills & Experience

• Experience with scientific, laboratory, or pre-clinical data environments
• Experience building dashboards, reporting solutions, or data applications using React, Streamlit, Jupyter Notebooks, or similar tools
• Experience working with laboratory systems, research data, manufacturing data, or regulated data environments
• Exposure to AI-enabled data processing, schema generation, or intelligent automation tools
• Previous mentoring or technical leadership experience

What You Will Be Doing Daily Responsibilities

• Lead the design and development of scientific data engineering solutions
• Partner with Product Managers, Solution Architects, and technical stakeholders to define business and data requirements
• Build scalable data models, integration frameworks, and data processing pipelines
• Develop reusable Python libraries, schema components, and parsing frameworks
• Create high-quality data pipelines with comprehensive testing and validation practices
• Build data applications, dashboards, and reporting tools for scientific and business users
• Ensure data quality, reliability, and production readiness across all deliverables
• Drive continuous improvement initiatives focused on engineering quality and developer productivity
• Support Agile delivery processes and help teams successfully meet sprint commitments
• Mentor junior engineers and provide technical leadership across projects
• Collaborate with data architects, business analysts, project managers, and machine learning teams to deliver impactful solutions
• Work directly with customers and stakeholders to validate business value and successful outcomes

The Offer

• Competitive salary range of $140,000 - $200,000 annually
• Fully remote work opportunity for Massachusetts-based employees
• Opportunity to work with cutting-edge scientific data and AI technologies
• Collaborative, high-performance engineering environment
• Leadership and mentorship responsibilities with strong career growth potential

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
• Long-Term Disability (LTD)
• Short-Term Disability (STD)

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.