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Senior Data Software Engineer

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

We are looking for a highly skilled Senior Data Software Engineer with qualifications in full-stack development and an automation-first approach to engineering within a modern cloud data warehouse stack, including BigQuery and Databricks.

This position focuses on crafting scalable, production-ready data infrastructure while collaborating with Engineers, Data Analysts, and Data Scientists to enable real-time insights and support data-driven decision-making for senior leadership. The ideal candidate is a hands-on contributor who thrives in code-intensive environments, emphasizing automation, performance optimization, and adherence to clean code principles.

Responsibilities
  • Design and develop high-performance, fault-tolerant data pipelines using Python and SQL, emphasizing scalability and automation
  • Architect end-to-end production-ready data solutions, integrating ingestion, transformation, and model deployment workflows
  • Build and maintain real-time streaming pipelines and batch data workflows by leveraging BigQuery, Databricks, Apache Airflow, and DBT
  • Write clean and modular code, prioritizing reusability and automating manual data engineering tasks
  • Collaborate with cross-functional teams to translate business needs into technical solutions, prioritizing automation-friendly designs
  • Implement tools for monitoring, logging, and alerting to ensure data pipelines' reliability and scalability
  • Integrate data workflows with broader application development efforts, aligning backend and business logic seamlessly
  • Contribute to design discussions on architecture, pipelines, and cloud infrastructure related to data engineering projects
Requirements
  • BS/MS in Computer Science, Software Engineering, or related field
  • 3+ years of experience in production-focused data engineering with a focus on full-stack development and automation
  • Proficiency in Python, SQL, and data frameworks such as Spark or PySpark for large-scale data processing
  • Expertise in modern Cloud Data Warehousing platforms, including BigQuery or Databricks, with understanding of cloud-native architectures on AWS, GCP, or Azure
  • Hands-on experience with CI/CD pipelines, version control tools like Git, and testing frameworks
  • Competency in containerization and orchestration tools like Docker and Kubernetes for scalable data applications
  • Understanding of workflow orchestration using tools such as Apache Airflow and DBT for pipeline automation
  • Familiarity with event-driven architectures and streaming platforms, such as Kafka or Kinesis
  • Background in Agile, DevOps, or DataOps practices, including infrastructure-as-code technologies like Terraform or Pulumi
  • Strong communication skills in English with a minimum proficiency level of B2
Nice to have
  • Familiarity with MySQL and visualization tools like Looker or Tableau, as well as large-scale analytics platforms such as Amplitude, Snowplow, or Segment
  • Background in cloud DevOps, working with AWS, GCP, or Azure
  • Basic qualifications in Linux or Unix system administration and shell scripting
  • Understanding of machine learning pipelines, MLOps practices, and deploying ML models to production
  • Showcase of real-time analytics solutions and experience with streaming technologies such as 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