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Senior Data Software Engineer

Remote in Colombia, Mexico
Data Software Engineering
& 11 others
Colombia

We are seeking a highly skilled Senior Data Software Engineer with expertise in full-stack development and an automation-first approach to engineering within a modern cloud data warehouse stack (BigQuery/Databricks).

This role involves creating scalable, production-grade data infrastructure while working collaboratively with Engineers, Data Analysts, and Data Scientists to deliver real-time insights and support data-driven decision-making for senior leadership. The ideal candidate is a hands-on contributor who excels in code-focused environments, with an emphasis on automation, performance optimization, and adherence to clean code principles.

Responsibilities
  • Design and develop high-performance, fault-tolerant data pipelines using Python and SQL with an emphasis on scalability and automation
  • Architect end-to-end production-grade data solutions, integrating ingestion, transformation, and model deployment workflows
  • Build and maintain real-time streaming pipelines and batch data workflows leveraging BigQuery/Databricks, Apache Airflow, and DBT
  • Write clean, modular code with a focus on reusability and automating manual data engineering tasks
  • Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on automation-friendly approaches
  • Implement tools for monitoring, logging, and alerting to ensure the reliability and scalability of data pipelines
  • Integrate data workflows with broader application development efforts, merging backend and business logic
  • Contribute to design discussions around architecture, pipelines, and cloud infrastructure in data engineering projects
Requirements
  • BS/MS in Computer Science, Software Engineering, or a related field
  • 3+ years of experience in production-grade data engineering, with a focus on full-stack development and automation
  • Proficiency in Python, SQL, and data frameworks such as Spark/PySpark for large-scale data processing
  • Expertise in modern Cloud Data Warehousing tools such as BigQuery or Databricks, with understanding of cloud-native architectures (AWS/GCP/Azure)
  • Hands-on experience with CI/CD pipelines, version control (Git), and testing frameworks
  • Competency in containerization and orchestration technologies like Docker and Kubernetes for scalable data applications
  • Understanding of workflow orchestration with tools like Apache Airflow and DBT to automate pipelines
  • Familiarity with event-driven architectures and streaming technologies (Kafka, Kinesis, or similar)
  • Background in Agile, DevOps, or DataOps methodologies, including infrastructure as code (Terraform, Pulumi)
  • Strong communication skills in English, meeting at least a B2 proficiency level
Nice to have
  • Experience using MySQL and visualization tools such as Looker/Tableau, or working with large-scale analytics platforms like Amplitude, Snowplow, or Segment
  • Hands-on cloud DevOps expertise with AWS, GCP, or Azure
  • Basic Linux/Unix system administration and shell scripting skills
  • Familiarity with machine learning pipelines, MLOps practices, and deploying ML models
  • Experience implementing real-time analytics solutions and streaming technologies like Apache Flink or Spark Streaming
Benefits
  • 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
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn