Data Engineer, Life Sciences Technology Solutions

The Data Engineer (Life Sciences Technology Solutions) is responsible for designing, building, and maintaining robust data pipelines and backend systems that support scalable software solutions for biopharma clients.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related STEM field.
• Minimum 6 years of experience in data engineering, backend development, or related roles.
• Proficiency in ETL development, data pipeline design, and workflow orchestration.
• Competence in machine learning model development and applications.
• Advanced programming skills in Python and Javascript.
• Knowledge of data warehousing, constructing and integrating API calls, and documenting dataflows.
• Demonstrated ability to ensure data quality and governance.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)