Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres.
We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We celebrate diversity and inclusion and aim to create great experiences for our employees as often as our players. We're looking for people to come to the office or Zoom meeting excited to work and ready for some fun. The Senior Data Engineer will report to Sr Manager Engineering responsible for Data & Insights.
Join us in driving the next revolution in games.
Responsibilities
- Design, build, and optimize scalable data acquisition, transformation, and integration pipelines to meet evolving business requirements.
- Develop, maintain, and automate ETL/ELT processes to extract, transform, and load data from diverse sources into analytical and operational systems with high accuracy and timeliness.
- Optimize data integration systems for scalability, performance, and reliability as data volume and complexity increase.
- Create and maintain logical and physical data models, ensuring efficient data storage, retrieval, and integration across platforms.
- Collaborate with cross-functional teams to define and implement data strategies, data flows, and conceptual models aligned with enterprise architecture standards.
- Ensure data quality, consistency, and governance by implementing validation, lineage, and monitoring frameworks.
- Analyze complex data sets to design business intelligence, analytics, and integration solutions.
- Translate business requirements into technical designs and scalable implementations using modern data engineering tools and practices.
- Develop and optimize complex SQL queries, stored procedures, and automation scripts using SQL, Python, and/or JavaScript.
- Leverage APIs and Python-based automation to streamline data workflows and improve processing efficiency.
- Apply prompt engineering and natural language processing (NLP) techniques to enable AI-driven data querying and insight generation.
- Integrate machine learning models into data pipelines where applicable to support predictive and prescriptive analytics use cases.
- Implement data observability and monitoring solutions to proactively identify and resolve issues.
- Follow best practices for programming, documentation, version control, and CI/CD in data integration projects.
- Develop and document data audit, archiving, and restoration procedures.
- Review and refine integration development efforts to ensure consistency, security, and adherence to best practices.
Qualifications
- Bachelor's or Master's degree in IT, Computer Science, or equivalent experience..
- 7+ years of experience in data integration, data engineering, or related roles, with a proven track record of delivering scalable data solutions.
- 5+ years of hands-on experience designing and implementing ETL/ELT pipelines and data integration frameworks.
- 2+ years of experience in data modeling (conceptual, logical, and physical).
- Advanced proficiency in Snowflake, including its advanced features and utilities.
- Strong understanding of data structures, database systems, and data warehousing principles, along with exposure to data mining and analytics techniques.
- Proficiency in Python for data automation, API integration, and scripting; experience with JavaScript is an added advantage.
- Familiarity with cloud-based data ecosystems (AWS, Azure, or GCP) and modern orchestration tools (Airflow, dbt, or similar).
- Exposure to or interest in AI/ML integration within data pipelines, including feature engineering, model operationalization (MLOps), and intelligent automation.
- Experience or interest in prompt engineering and NLP-based querying to enable AI-driven data insights.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.