Job Description
Job Description
POSITION:
Senior Associate, reporting to Associate Director - Engineering, will play an essential role in designing, developing, and maintaining scalable data pipelines and data infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data systems are efficient, reliable, and capable of supporting complex analytical queries. Your role will involve a mix of hands-on technical work and strategic planning to support the organization's data needs.
To be successful as a Senior Data Engineer at Eversana, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages and learning machine methods.
RESPONSIBILITIES:
Develop and maintain scalable data pipelines to ingest, process, and store clinical, commercial, and operational data using Python , Airflow , and AWS services (e.g., S3, Lambda, Glue). Assist in designing and optimizing data models and data warehouses using Snowflake . Monitor and troubleshoot data workflows to ensure data quality, availability, and compliance with regulatory standards (e.g., GxP, HIPAA). Collaborate with data scientists, analysts, and business teams to understand data requirements and support reporting and analytics initiatives. Contribute to the documentation of ETL processes, data dictionaries, and lineage tracking to support data governance. Stay current with industry trends and best practices in cloud data engineering and life sciences data management. REQUIREMENTS:
Bachelor’s degree in Computer Science, Engineering, Information Technology. Proficiency in Python for scripting and data manipulation. Knowledge in writing SQL queries and working with relational databases. Basic understanding of cloud services , especially AWS (S3, Lambda, Glue, IAM). Exposure to workflow orchestration tools like Apache Airflow . Understanding of data warehousing concepts and familiarity with Snowflake or similar platforms. Strong analytical and problem-solving abilities. Eagerness to learn in a fast-paced, regulated environment. EDUCATIONAL QUALIFICATION
Master’s or Bachelor’s degree in Engineering, Technology, or Computer Science Proven experience (5+ years) as a Data Engineer. Qualifications
Bachelor’s degree in engineering, Technology, or Computer Science 5+ years of relevant industry experience (Healthcare, Pharmaceutical Consulting, Enterprise level data-analytical solutions)
Work Perks
Competitive Wages Above market salary structures as part of our total rewards program
Retirement Resources Generous employer matching retirement solutions
Health & Wellness Leading health, dental and vision insurance products
Continuous Education Employer-funded tuition reimbursement
Global Workplace Flexibility Remote and hybrid work across the globe
Paid Time Off Generous paid time off including company holidays
Training & Development Company provided training and development
Employee Assistant Programs Offering financial, work-life balance, legal solutions and more to employees at no cost 24-7-365
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