About the Company The client is a US-based pharmaceutical organization investing in modern data infrastructure to support analytics, reporting, and business decision-making. The organization is developing a scalable data platform to serve research, commercial, and operational teams, with a focus on reliable data pipelines and infrastructure.
About the Role The organization is seeking a Senior Data Engineer for an initial 12-month contract, with strong potential for extension. This is a fully remote opportunity for candidates based in the United States who can work during US business hours.
In this role, you will design, develop, and maintain scalable data pipelines and infrastructure that support business analytics and downstream applications. You will work with modern data platforms, cloud technologies, and ETL/ELT processes to deliver reliable, high-quality datasets. You will also collaborate with data scientists, analysts, and business stakeholders while contributing to data architecture, performance optimization, governance, and documentation in a pharmaceutical environment.
Key Responsibilities
•Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data across the organization.
•Develop and optimize data models that support analytics, reporting, and downstream applications.
•Build and maintain ETL/ELT processes using modern data tools and technologies.
•Maintain data quality, integrity, and governance across pipelines in accordance with the needs of a regulated pharmaceutical environment.
•Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable datasets.
•Monitor, troubleshoot, and improve the performance and reliability of existing data infrastructure.
•Contribute to architectural decisions related to data storage, processing, and platform tooling.
•Document data flows, pipelines, and technical decisions to support audit, governance, and compliance requirements.
Required Qualifications
•Proven experience as a Senior Data Engineer building and maintaining production data pipelines at scale.
•Strong SQL skills and experience with modern data platforms such as Snowflake, Databricks, or similar technologies.
•Experience with ETL/ELT tools and orchestration frameworks such as Airflow, dbt, or comparable solutions.
•Strong Python programming skills or equivalent programming experience.
•Experience working with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
•Strong understanding of data pipeline development, data transformation, and production data infrastructure.
•Excellent communication skills, with the ability to work effectively with technical teams and business stakeholders.
•Must be based in the United States and available to work US business hours.
Preferred Qualifications
•Experience in pharmaceutical, life sciences, or another regulated industry.
•Experience building and maintaining real-time or streaming data pipelines using technologies such as Kafka or Kinesis.
•Familiarity with data governance and compliance frameworks relevant to regulated environments.
Compensation & Contract Details
•Contract Duration: Initial 12 months, with strong potential for extension.
•Compensation: Competitive hourly rate, dependent on experience (DOE).
•Work Arrangement: 100% remote.
•Location Requirement: US-based candidates only.
Employment Details
•Job Title: Senior Data Engineer
•Company: Client is a US-based pharmaceutical organization; company name not specified.
•Employment Type: Contract
•Contract Duration: 12 months initially
•Work Location: Remote within the United States
•Salary: Competitive hourly rate, based on experience