Data Engineer

Seeking a highly motivated, early-career Data Engineer to support a Life Sciences client in building and maintaining data pipelines, transforming real-world data into analytical-ready datasets, and supporting downstream analytics and reporting. This is a long term, W2 role. If you enjoy hands-on coding, problem-solving, and learning in a fast-paced, data-driven environment, lets talk! The ideal candidate has strong foundational technical skills, a logical and analytical mindset, and is looking to grow long-term within data engineering and analytics. • • No third parties please • • • Key Responsibilities • Design, build, and maintain data pipelines to transform raw data into clean, structured analytical datasets. • Work with large datasets and apply data algorithms to support analytical workflows. • Develop scripts and workflows using Python or R for data processing and automation. • Write and optimize complex SQL queries for data extraction, transformation, and validation. • Ensure data accuracy, consistency, and performance across pipelines. • Support the development of dashboards and reports for internal and client stakeholders. • Assist in translating business logic and rules into technical implementations. • Perform quality control checks and data validation to ensure reliable outputs. • Participate in exploratory analysis and research activities as needed. Required Qualifications • Master's degree (required) in Computer Science, Engineering, Data Science, Analytics, Economics, Statistics, Biostatistics, or a related quantitative field. • 1–2 years of hands-on experience in data engineering, analytics, software development, or related roles. Understanding of Life Sciences or healthcare data is desired. • Strong working knowledge of SQL, Python and/or R. • Experience working with large datasets and data transformation workflows. • Ability to understand and implement business rules and data logic accurately. • Experience in healthcare or life sciences domain. • Self-driven, highly motivated, and eager to learn in a long-term role. • Strong communication and collaboration skills.