This is a remote position.
We are looking for a senior Data Scientist / Data Engineer to join a global pharmaceutical client and help build scalable, reliable, and high-performing data platforms supporting analytics, reporting, and advanced data science initiatives.
Responsibilities
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Design and develop scalable ETL/ELT pipelines and data workflows
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Build and optimize data models for analytics and reporting
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Implement automation for data pipelines using CI/CD practices
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Monitor data jobs and troubleshoot failures or performance issues
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Support data consumption for:
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BI dashboards and reporting tools
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Data science and advanced analytics teams
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APIs and custom business applications
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Work with structured and semi-structured datasets (CSV, JSON, Parquet, etc.)
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Collaborate with cross-functional teams to deliver scalable data solutions
Requirements
- 5+years in data
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Strong experience in data engineering, ETL/ELT design, and data modeling
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Advanced SQL skills for data transformation and analysis
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Strong programming experience with:
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Python (mandatory)
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SQL (mandatory)
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Java or Scala is a plus
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Experience with data lakes and data warehouses
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Strong understanding of performance optimization and scalable data architecture
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Experience with cloud-based or enterprise-scale data environments
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Excellent analytical and problem-solving skills
Nice to Have
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Experience in pharmaceutical or healthcare environments
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Experience with modern orchestration or automation frameworks
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Knowledge of data governance and data quality best practices
Benefits
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Location and time zone : USA, New Jersey. While the role is based in the USA, strong profiles from Europe can also be considered if they align well with the role requirements and meet client expectations.Β
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Contract Type: Freelance / Contract
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Start date: May - June
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Time Allocation: 100%