Senior Software Engineer, Data Engineering

We are seeking an accomplished Senior Software Engineer specializing in Data Engineering. This role is crucial for crafting scalable systems and robust data pipelines designed to process and analyze complex datasets, driving advanced insights and innovative data-driven applications.

Responsibilities

• Design and implement efficient backend services and pipelines for ingesting, transforming, and processing large-scale data from multiple sources.
• Collaborate with Product Managers and Engineers to develop ML/AI-powered systems that generate actionable insights and automate workflows.
• Build APIs and internal tools to support analytics, reporting, and real-time data visualizations.
• Define and maintain data models, governance policies, and quality standards to uphold data integrity and accessibility across teams.
• Optimize data pipelines through strategies like indexing, caching, and asynchronous processing.
• Drive architectural decisions concerning event-driven systems, distributed processing, and scalable job orchestration.
• Improve CI/CD workflows, observability, and automation for high availability and reliability of data infrastructure.
• Participate in technical discussions, code reviews, and retrospective sessions to ensure continuous improvement and innovation.

Required Skills & Experience

• 3+ years of experience in backend development using Python, Golang, or PHP.
• 3+ years of experience designing and building backend platforms and services.
• 2+ years working with key data engineering tools such as Airflow, dbt, Spark, or Kafka.
• Knowledge of relational databases (e.g., MySQL) with expertise in data modeling, schema design, and performance tuning.
• Background in implementing ML/AI-powered solutions for large-scale data processing.
• Expertise in using distributed systems, message queues, or stream processing frameworks.
• Competency in developing APIs or services for advanced analytics and reporting.
• Proficiency in caching tools like Redis or Memcached and containerization technologies such as Docker.
• Familiarity with Linux systems and DevOps practices.
• Understanding of observability tools like New Relic or Datadog.

We Offer

• Career plan and real growth opportunities.
• Unlimited access to LinkedIn learning solutions.
• Constant training, mentoring, online corporate courses, and eLearning.
• 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.
• 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.

About EPAM

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.

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