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Senior Data Engineer - Palantir Foundry

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Romania
Support
Relocation support
Posted
Sep 30, 2026
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EPAM Romania

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

  • We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
  • 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
  • Relocation opportunities
  • 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

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