Salesforce Developer

Are you passionate about transforming raw data into powerful, actionable insights that shape experiences for millions of players worldwide? This is a rare opportunity to join one of the most beloved gaming franchises in history, working at the intersection of data engineering, analytics, and creative product development. As a senior member of the Player and Data Analytics team, you will play a pivotal role in building robust data pipelines, crafting sophisticated data models, and delivering innovative data products that directly support creator programs and player experiences at a global scale. You will serve as a critical thinker and technical leader, bridging deep business understanding with engineering excellence to deliver solutions that drive measurable outcomes across AI/ML, marketing, and product systems. This role demands a collaborative spirit, a growth mindset, and a commitment to data quality, security, reliability, and usability that stakeholders can trust., * Build subject matter expertise across business and data domains to collaborate with data consumers and stakeholders, understand their information needs, and assist with data access

• Identify and analyze multi-structured data and metadata from a variety of sources to select and document the most effective and accurate data that fulfills analytics requirements
• Design data models, architect dataflows, and develop abstractions to deliver scalable analytics and machine learning solutions that can evolve with changing business needs
• Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines that transform data into clean, enriched, and accurate information
• Advance team infrastructure by developing and utilizing frameworks, reusable components, and new capabilities to support the broader analytics mission
• Develop enterprise-grade data-serving API endpoints and the underlying data products, analytics solutions, and infrastructure that power them
• Partner closely with data scientists, analysts, data engineers, and game teams to align on definitions and deliver solutions at the pace of the business, AutomationData AnalysisNew Product DevelopmentMarketingSoftware EngineeringPython (Programming Language)SQL (Programming Language)ScalabilityInnovationSoftware DevelopmentComputer ScienceMicrosoft AzureApplication Programming Interface (API)Critical ThinkingEnterprise Application SoftwareDevOpsBusiness RequirementsDecision MakingArtificial IntelligenceComputer EngineeringData QualityData ModelingAuthorization (Computing)Data ScienceMachine LearningUsabilityEmployee Assistance ProgramsObject-Oriented Programming (OOP)Data EngineeringCreative Problem SolvingGrowth MindednessSchema MarkupBusiness Continuity PlanningData PipelinesMetadataData TransformationAbstractionsDomain KnowledgeDataOps

• Minimum of 4 years of experience in analytics engineering, data engineering, data science, or related software development work
• At least 2 years of experience working specifically as an Analytics Engineer or Data Engineer with regular business collaboration on large enterprise systems
• Demonstrated experience delivering analytic solutions and data products that produce measurable business outcomes such as improved performance, enabled decision-making, or supported marketing and product initiatives
• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field with 4 or more years of relevant experience
• Master's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field with 3 or more years of relevant experience
• Equivalent combination of education and experience will be considered in lieu of a formal degree
• Advanced proficiency in Python for data transformation and automation, with 4 to 5 years of hands-on experience
• Strong proficiency in SQL for querying, transforming, and managing large-scale datasets
• Demonstrated expertise in data modeling with at least 3 years of applied experience
• Experience building, maintaining, and optimizing enterprise-scale data pipelines that handle logs and event streaming data using modern tools such as Spark and Airflow
• Backend development experience building secure and performant enterprise-grade APIs
• Cloud platform experience, with a preference for Azure, and a minimum of 2 years working in cloud environments
• Working knowledge of DevOps and DataOps practices
• Strong data analysis and exploration skills to identify, select, and prepare data for analytics use cases
• Business acumen to translate complex business challenges into effective analytics engineering solutions
• Critical thinking and creative problem-solving abilities with a proven track record of delivering significant business impact
• Video game domain knowledge, either as an experienced player or industry professional, is strongly preferred, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

This role is eligible for the following benefits:

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms., Compensation:$142,480 - $161,200 / yr

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. On-Site