Lead a team of data engineers at EPAM Systems to design and implement robust data architectures for cutting-edge client projects in a remote setting. Drive innovation in data processing and analytics to support business intelligence and machine learning initiatives.

At EPAM Systems, we are seeking a seasoned Lead Data Engineer to spearhead our data engineering efforts in delivering high-impact solutions for Fortune 500 clients. In this pivotal role, you will architect scalable data pipelines, optimize data flows, and ensure data integrity across distributed systems. Collaborating with data scientists, analysts, and software engineers, you will translate complex business requirements into efficient technical implementations, leveraging modern cloud-native technologies to enable real-time analytics and AI-driven insights.

Your day-to-day responsibilities will include leading the design and development of data ingestion frameworks, implementing robust ETL processes, and mentoring a team to adopt best practices in data governance and quality assurance. You will troubleshoot performance bottlenecks, integrate machine learning models into production pipelines, and contribute to strategic decisions on technology stack evolution. This remote position offers the flexibility to work from anywhere in Argentina while being part of EPAM's global engineering community, known for its innovative culture and commitment to excellence.

If you thrive in dynamic environments and have a passion for transforming raw data into actionable intelligence, join us to make a tangible difference in industries ranging from finance to healthcare through data excellence.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, with at least 2 years in a lead or senior role
• Proficiency in Python, Java, or Scala for data processing and ETL pipelines
• Expertise in big data technologies such as Apache Spark, Hadoop, Kafka, and cloud platforms like AWS, Azure, or GCP
• Strong knowledge of SQL/NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
• Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices
• Excellent leadership and communication skills to mentor junior engineers and collaborate with cross-functional teams
• Ability to work remotely with strong time management and problem-solving abilities

• Competitive monthly salary with performance-based bonuses
• Comprehensive health insurance coverage including dental and vision
• Flexible remote work arrangement with home office setup allowance
• Professional development opportunities, including certifications and training programs
• Generous paid time off, including vacation and sick leave
• Access to global projects and career advancement within EPAM Systems
• Employee assistance programs for mental health and well-being
• Stock options and retirement savings plan contributions