Senior Data Engineer - Palantir Foundry

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Senior Data Engineer to lead the design, implementation, and optimization of enterprise-scale data solutions using Palantir Foundry or Databricks, bringing deep technical expertise in data engineering and strong analytical capabilities to guide delivery teams in developing high-performance data products.

Responsibilities

• Design and implement scalable data pipelines and reusable data products
• Lead the development of complex data transformation frameworks using PySpark and SQL
• Define and promote data engineering best practices across delivery squads
• Drive performance tuning, data quality improvements, and operational reliability initiatives
• Optimize large-scale processing workloads and data models
• Establish monitoring, observability, and troubleshooting standards
• Provide technical guidance and mentorship to junior and intermediate data engineers
• Collaborate with architects and business stakeholders on solution design and delivery planning
• Contribute to platform governance, standards, and engineering excellence initiatives
• Translate business requirements into scalable technical solutions
• Support delivery of enterprise analytics and reporting capabilities

Requirements

• Extensive experience (3+ years) in Palantir Foundry Data Engineering or Databricks
• Expertise in PySpark and SQL
• Proven experience designing large-scale ETL/ELT pipelines and data architectures
• Knowledge of distributed data processing and performance optimization
• Experience leading technical delivery within data engineering teams
• Understanding of data modeling, governance, and data quality practices
• English proficiency at B2 level or higher

Nice to have

• Experience with both Palantir Foundry and Databricks
• Background in reinsurance or insurance industry processes, particularly finance-related data domains
• Experience working in complex enterprise environments
• Knowledge of cloud-native analytics and data platforms

We offer

• Full access to cutting-edge tools and technologies
• Competitive compensation depending on experience and skills
• All-around Social package: professional & soft skills training, medical & family care programs, sports
• Free English classes
• Unlimited access to LinkedIn learning solutions
• Continuous experience exchange with experts and professionals worldwide
• Friendly team and comfortable working environment
• Engineering, corporate, and social events within and outside the Company
• Flexible working schedule
• Opportunities for self-realization