We are seeking a Senior Data Engineer to build, maintain, and evolve data platforms that power a specialized clinical study management application. You will own modern pipelines end-to-end to ensure high-quality, reliable, and available data for critical analytics and operations—apply to help shape trusted data at scale.
Responsibilities
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Design scalable and reliable data pipelines for ingestion, transformation, and consumption
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Build and operate ETL/ELT processes using modern data engineering approaches
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Develop and optimize data transformations using Python, PySpark, and dbt
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Design and administer Snowflake storage and processing solutions
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Define and apply best practices for data modeling, data architecture, and information governance
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Ensure data quality, consistency, and traceability across the data lifecycle
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Implement CI/CD strategies to automate testing and deployments for data pipelines
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Monitor platforms and resolve incidents affecting integrations and data processes
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Collaborate with development, product, analytics, and business teams to translate requirements into technical solutions
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Identify and implement improvements in performance, scalability, security, and maintainability
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Document architectures, technical processes, and engineering standards
Requirements
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3+ years of data engineering experience
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Strong Python development experience
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Advanced PySpark experience for distributed data processing
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Hands-on Snowflake experience (modeling, optimization, administration)
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Practical dbt (Data Build Tool) experience for transformations
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CI/CD experience for data solutions
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Version control experience with Git
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Technical leadership ability to work autonomously and lead complex initiatives
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Strong analytical and problem-solving skills
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Effective communication skills with technical and functional teams
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Advanced English proficiency (C1, Advanced)
Nice to have
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Cloud platform experience (AWS, Azure, or GCP)
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Orchestration tool experience (Airflow or similar)
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Experience in regulated environments (healthcare, pharma, or clinical research)
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Data quality and pipeline observability knowledge
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Agile/Scrum experience
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
