We are seeking a highly skilled Senior Data Engineer to help design, build, and evolve the data platforms that power a specialized clinical trials management application. You will work autonomously and with cross-functional teams to deliver reliable, high-quality data pipelines—apply now to make an impact.
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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Implement data modeling, data architecture, and information governance best practices
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Ensure data quality, consistency, and traceability across the data lifecycle
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Set up automation, testing, and deployments using CI/CD practices
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Monitor integrations and data platforms, and resolve incidents to restore service quickly
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Collaborate with development, product, analytics, and business teams to translate requirements into solutions
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Identify and deliver improvements in performance, scalability, security, and maintainability
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Document architectures, technical processes, and development standards
Requirements
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5+ years of data engineering experience building modern pipelines
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Strong consultancy experience working with stakeholders and translating needs into technical solutions
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Proven leadership ability to drive complex initiatives independently and guide technical direction
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Hands-on project ownership skills across design, build, optimization, and support of data platforms
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Advanced Python skills for data processing and automation
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Advanced PySpark skills for distributed data processing
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Strong Snowflake experience including modeling, optimization, and object administration
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Practical dbt experience to implement and manage transformations
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Solid CI/CD practices for data solutions, including testing and deployment automation
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Strong Git version control skills in collaborative environments
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Strong analytical skills with structured problem-solving approaches
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Excellent communication skills across technical and functional teams
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Advanced English proficiency (C1, Advanced) for daily collaboration
Nice to have
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Cloud platform experience with AWS, Azure, or GCP
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Orchestration tooling experience with Airflow or similar
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Background in regulated environments such as 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.
