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)

Job summary

Motion Recruitment is seeking a Senior Scientific Data Engineer to join a fully remote team positioned to serve MA residents. You will design and implement scientific data solutions at scale, mentor engineers, and collaborate with product, architecture, and customer teams.

The ideal candidate has 8+ years building data products, strong Python/SQL skills, and experience leading跨‑functional projects in data-centric environments, with a focus on quality and delivery in Agile settings.

Qualifications

• 8+ years of experience building data products as a Data Engineer or related technical role.
• Hands-on experience with Python and SQL.
• Experience designing, building, and maintaining data pipelines and data models.
• Experience leading projects, managing requirements, and driving delivery timelines.
• Agile development experience and strong collaboration across teams.

Responsibilities

• Lead the design and development of scientific data engineering solutions.
• Partner with Product Managers, Solution Architects, and stakeholders to define 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 testing and validation practices.
• Build data applications, dashboards, and reporting tools for users.
• Ensure data quality, reliability, and production readiness across deliverables.
• Mentor junior engineers and provide technical leadership across projects.
• Collaborate with data architects, analysts, PMs, and ML teams to deliver impact.
• Work with customers to validate business value and outcomes.

Skills

Python

SQL

Data pipelines

Data models

Agile

Stakeholder management

Mentoring

Testing frameworks

Cross-functional collaboration

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.

As a senior member of the engineering team, you will lead the design and implementation of scientific data solutions, mentor junior engineers, and collaborate closely with product, architecture, and customer-facing teams. The ideal candidate is highly hands‑on, experienced in building modern data platforms, and comfortable translating business objectives into scalable technical solutions.

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.