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 searching for a talented and experienced Data Software Engineer to join our team and drive the creation of data-focused applications.

You will utilize leading-edge Big Data tools, cloud technologies, and collaborate across teams to deliver innovative solutions that solve intricate business problems.

Responsibilities Engineer and enhance data software applications that support Data Integration Engineers

Design and deploy advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools

Leverage AWS services to add cloud features that improve data workflow efficiency

Partner with product and engineering teams to gather requirements and enable decision support

Collaborate with architects, technical leads, and other teams to maintain solution consistency

Assess business goals and technical constraints to recommend the right implementations

Lead code review activities to encourage best practices and strong code quality

Execute validation and testing across functional, technical, and performance criteria

Produce and maintain detailed documentation to support ongoing development

Work directly with clients to understand needs and provide expert technical direction Requirements Bachelor’s or Master’s degree in Computer Science,



Software Engineering, or a related area

2+ years of hands-on Data Software Engineering experience with Big Data technologies

Good command of data engineering principles covering data management, storage, visualization, operations, and security

Strong grasp of ingestion pipelines along with Data Warehousing and Data Lakes

Programming experience in Python, Java, Scala, or Kotlin

Advanced knowledge of SQL and NoSQL data stores

Proficiency with Spark and PySpark in production data solutions

Ability to architect and deploy AWS-based solutions using Glue and RedShift

Familiarity with CI/CD approaches for integration and deployment workflows

Exposure to Docker, Kubernetes, and Yarn for containerized delivery

Working experience with Databricks for analytics and data engineering

English level of minimum B2 (Upper-Intermediate) for effective communication Nice to have Working knowledge of Hadoop, Hive, Flink, and related Big Data tooling

Understanding of SDLC methodologies with Agile as a key approach

Experience applying and governing SDLC implementation practices We offer International projects with top brands

Work with global 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

Integral 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