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 highly skilled and experienced Data Software Engineer to join our team and contribute to building data-centric applications.

You will utilize advanced Big Data tools, cloud technologies, and collaborate across teams to develop innovative solutions addressing complex business needs.

Responsibilities Construct and extend data software applications leveraged by Data Integration Engineers

Deliver analytical solutions with Spark, PySpark, NoSQL, and other Big Data technologies

Optimize data workflows by integrating AWS cloud services and features

Work with product and engineering stakeholders to collect insights and enable decision-making

Coordinate with architects, technical leads, and other teams to keep solutions aligned

Analyze business needs and existing technical environments to produce suitable implementations

Review code to uphold best practices and ensure consistently high-quality output

Verify solutions through functional, technical, and performance testing

Create clear project documentation for future development and reference

Consult with clients to understand objectives and provide technical recommendations Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a comparable field





2+ years of experience in Data Software Engineering using Big Data technologies

Strong foundation in data engineering topics including data management, storage, visualization, operations, and security

Thorough understanding of ingestion pipelines, Data Warehousing, and Data Lakes

Proficiency in at least one of Python, Java, Scala, or Kotlin

Demonstrated expertise with SQL plus NoSQL databases

Hands-on skills with Spark and PySpark within modern Big Data ecosystems

Background delivering solutions on AWS, including Glue and RedShift

Understanding of CI/CD workflows for integration and deployment

Working familiarity with Docker, Kubernetes, and Yarn in containerized environments

Capability with Databricks for advanced analytics and engineering tasks

Strong communication skills in English, meeting at least a B2 proficiency level Nice to have Experience with Hadoop, Hive, and Flink or other Big Data tools

Familiarity with SDLC methodologies, particularly Agile

Skills in executing and overseeing SDLC implementation end to end 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