We are looking for 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 entails designing and building scalable, production-grade data infrastructure while collaborating closely with Engineers, Data Analysts, and Data Scientists to provide real-time insights and enable data-driven decision-making for senior leadership. The ideal candidate is a hands-on developer who thrives in a code-driven environment, with a strong focus 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

We offer

• Career plan and real growth opportunities
• Unlimited access to LinkedIn learning solutions
• International Mobility Plan within 25 countries
• Constant training, mentoring, online corporate courses, eLearning and more
• English classes with a certified teacher
• Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
• Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
• Flexible work schedule and dress code
• Collaborate in a multicultural environment and share best practices from around the globe
• Hired directly by EPAM & 100% under payroll
• Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
• Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
• 13 % employee savings fund, capped to the law limit
• Grocery coupons
• 30 days December bonus
• Employee Stock Purchase Plan
• 12 vacations days plus 4 floating days
• Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
• Monthly non-taxable amount for the electricity and internet bills

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.

By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.