Senior Data Engineer

1 Month ago • 7 Years + • Data Analyst

Job Summary

Job Description

EA seeks a Senior Data Engineer to design, build, and optimize scalable data solutions. Responsibilities include developing and maintaining ETL processes, optimizing data integration systems, creating data models, collaborating with development teams, ensuring data quality, and analyzing complex data. The role involves converting business requirements into technical designs and implementing them using SQL, JavaScript, Python, and prompt engineering techniques. The ideal candidate possesses 7+ years of experience in data integration, expertise in Snowflake, and proficiency in Python. EA fosters a fun and inclusive work environment, focused on creating exceptional game experiences for millions of players worldwide.
Must have:
  • 7+ years data integration experience
  • ETL process development & maintenance
  • Snowflake proficiency (advanced features)
  • Data modeling (physical & relational)
  • SQL, JavaScript, Python expertise
Good to have:
  • Prompt engineering for NLP
  • API experience
  • Data mining techniques
Perks:
  • Paid time off
  • Parental leave
  • Free games

Job Details

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 and integration solutions to meet business requirements.

  • Develop and maintain ETL processes for extracting, transforming, and loading (ETL) data from various sources into appropriate databases with accuracy and timeliness.

  • Optimize data integration systems for performance as data volume grows, ensuring high quality and reliability.

  • Create and maintain logical and physical data models to ensure efficient data storage, retrieval, and integration across systems.

  • Collaborate with development teams to implement data strategies, data flows, and conceptual models.

  • Ensure data quality and integrity by establishing and maintaining data governance standards.

  • Analyze complex data to develop business intelligence solutions and integration designs.

  • Translate business requirements into technical designs and implement them effectively.

  • Convert data models and design specifications into functional code, including complex SQL queries, stored procedures, and automation scripts using SQL, JavaScript, and/or Python.

  • Monitor, troubleshoot, and enhance system performance, integrating new features as needed.

  • Follow best practices and company guidelines for programming, documentation, and data integration.

  • Develop and document data audit, archiving, and restoration processes.

  • Review and refine integration development efforts to ensure consistency and adherence to best practices.

  • Leverage Python and APIs to automate data workflows and improve data processing efficiency.

  • Apply prompt engineering techniques to enhance NLP-driven data querying and insights.

  • Provide ongoing support, responding to system issues promptly.

Qualifications

  • Bachelor's or Master's degree in IT, Computer Science, or equivalent experience.

  • 7+ years of experience in data integration or similar roles.

  • 5+ years of hands-on experience with ETL and data integration processes.

  • 2+ years of experience in data modeling, both physical and relational.

  • Advanced proficiency in Snowflake, including its advanced features and utilities.

  • In-depth understanding of data structures, database systems, and data mining techniques.

  • Proficiency in Python is highly desirable.

  • Experience with prompt engineering for natural language processing (NLP) applications is a plus.

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 take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much 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.

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About The Company

We exist to inspire the world to play. We put our people first, and we thrive off their diversity in our innovative technology and immersive storytelling. We’re doing the work to give everyone the space to be their full selves while giving back to our community, no matter where you’re working from. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers—people that are ready to move the needle and transform the future of gaming. Join us.

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