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 looking for a highly skilled and experienced Data Software Engineer to join our team to advance the development of data-centric applications.

This role involves working with cutting-edge Big Data tools, cloud technologies, and collaborating across teams to deliver innovative solutions for complex business challenges.

Responsibilities Develop and refine data software applications used by Data Integration Engineers

Build and deploy sophisticated analytical solutions with Spark, PySpark, NoSQL, and other Big Data tools

Integrate AWS cloud services to improve and automate data workflows

Support product and engineering teams by collecting insights and enabling better decisions

Coordinate across architects, technical leads, and other teams to ensure cohesive implementations

Determine business needs and technical context to deliver appropriate technical solutions

Conduct code reviews to maintain coding standards and promote best practices

Validate and test deliverables against functional, technical, and performance requirements

Maintain thorough project documentation for future reference and iteration

Interact with clients to clarify needs and provide expert technical advice Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering,



or a similar field

2+ years of experience in Data Software Engineering focused on Big Data technologies

Comprehensive understanding of data engineering areas such as data management, storage, visualization, operations, and security

Strong expertise in data ingestion pipelines, Data Warehousing, and Data Lakes

Proficiency across Python, Java, Scala, or Kotlin for building data-centric software

Extensive knowledge of SQL as well as NoSQL databases

Proven hands-on experience with Spark and PySpark

Ability to implement and deploy data solutions on AWS, including Glue and RedShift

Familiarity with CI/CD pipelines and integration/deployment workflows

Experience with containerization using Docker, Kubernetes, and Yarn

Practical knowledge of Databricks for advanced analytics and engineering workloads

English proficiency at B2 (Upper-Intermediate) level or above in speaking and writing Nice to have Familiarity with Hadoop, Hive, Flink, and other Big Data tools

Knowledge of SDLC methodologies, with Agile experience

Capability to implement and manage SDLC processes effectively We offer International projects with top brands

Work with general teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

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.

📌 Data Software Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia