We are looking for a seasoned Data Engineer with a strong foundation in SQL, Python, and modern database engineering practices to join our team. The ideal candidate will be responsible for designing, building, and maintaining the architecture that supports our big data needs. You will play a key role in the development and optimization of our data pipeline architecture, as well as data flow and collection for cross-functional teams.
Responsibilities:
• Design and implement highly performant data ingestion pipelines from multiple sources using SQL, Python, and cloud-native services.
• Architect scalable and reliable data storage solutions, ensuring data quality and accessibility.
• Create and maintain comprehensive technical documentation including data models, ETL processes, system architectures, and data dictionaries to ensure clarity, consistency, and accessibility for stakeholders across the organization.
• Optimize data retrieval with advanced SQL techniques and Python scripting for analytical and operational use cases.
• Lead the adoption of modern database engineering practices, including automation, containerization, and orchestration technologies.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver effective data solutions.
• Mentor junior data engineers and contribute to the team’s growth and knowledge sharing.
• Stay informed of industry trends and innovations in data engineering, recommending and implementing new technologies as appropriate.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience in a data engineering role, with a demonstrated track record of complex data projects.
• Expert-level knowledge of SQL and Python, with a strong understanding of best practices in coding, data manipulation, and optimization.
• Experience with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and data modeling techniques.
• Experience with event driven data architecture and tooling (Apache Kafka, RabbitMQ, etc.)
• Experience with Function apps (AWS Lambda or Azure Functions)
• Experience with modern python web applications/apis (Flask, Django)
• Familiarity with cloud services (AWS, Azure, Google Cloud) and their data-related offerings.
• Proven ability to architect and manage scalable, high-availability database systems.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders
About Us
Trinity Life Sciences is a trusted strategic commercialization partner, providing evidence-based solutions for the life sciences. With 25 years of experience, Trinity is committed to revolutionizing the commercial model by providing exceptional levels of service, powerful tools and data-driven insights. Trinity’s range of products and solutions includes industry-leading benchmarking solutions, powered by TGaS Advisors. To learn more about how Trinity is elevating life sciences and driving evidence to action, visit trinitylifesciences.com.
Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. A reasonable estimate of the current range is $120,000 – 135,000.
In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
Trinity’s Commitment to Diversity, Equity & Inclusion
Trinity Life Sciences is an Equal Opportunity Employer that prohibits discrimination and harassment of any kind. Trinity is committed to the principles of diversity, equity, and inclusion and to providing employees with a work environment that is free of discrimination and harassment. All employment decisions at Trinity are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, disability, ethnicity, gender identity or expression, family, parental, or veteran status, and/or any other status based on identity or that is protected by the laws or regulations in the locations where we operate. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities.
For more information about Trinity’s commitment to diversity, equity, and inclusion, you can visit our website.