Data Engineer, Life Sciences Technology Solutions
Apply Job ID 34754 Date posted 12/15/2025Job Family:
Software Development & Support
Travel Required:
Clearance Required:
What You Will Do:
: 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. Working within the data science and technology domain, this role collaborates with solution architects and full stack developers under the direction of the Life Sciences AI & Data Lead. Success in this position is measured by the ability to deliver reliable, high-performance data infrastructure that enables advanced analytics and digital transformation in life sciences.
Responsibilities and Duties:
- Design, develop, and maintain ETL processes and data pipelines for large-scale data integration.
- Implement and optimize data storage solutions using SQL and NoSQL databases.
- Build and manage big data frameworks such as Hadoop and Spark to support advanced analytics.
- Integrate cloud data services, including AWS Glue and Azure Data Factory, into enterprise data workflows.
- Develop backend solutions using Python and Java for data processing and transformation.
- Collaborate with solution architects and other team members to ensure seamless API integration.
- Orchestrate workflows using tools like Airflow and Luigi to automate data movement and processing.
- Ensure data quality, governance, and compliance with industry standards.
- Implement streaming technologies (Kafka) for real-time data ingestion and processing.
- Monitor and tune system performance to maintain reliability and scalability.
- Document data engineering processes and provide technical support to project teams.
What You Will Need:
- 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.
- Experience interconnecting multiple databases to better understand patient care and population health.
- 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.
What Would Be Nice To Have:
- Master’s degree.
- Experience building both application stacks in the biopharma industry or consulting environment.
- Demonstrated proficiency in building Databricks or Dataiku data pipelines to manage automation and CD/CI activities.
- Direct prior responsibility for data management in a biopharma or other life sciences context.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
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.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
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