Data Engineer, Life Sciences Technology Solutions

Job Family:

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.