Data Analytics Engineer at Blizzard Entertainment

Santa Monica, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

143376.0

Posted On

14 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Databricks, Spark, Delta Lake, Cloud-Native, Backend Systems, Data Pipelines, Streaming Systems, Batch Systems, Observability, Security, CI/CD, Data Governance, AI-Enabled Engineering Tools, Identity Resolution

Industry

Entertainment Providers

Description

Job Title: Data Analytics Engineer Requisition ID: R026890 Job Description: Title: Data Analytics Engineer Reporting To: Sr. Manager, Data & Analytics Engineering Department: Marketing Analytics Location: Santa Monica, CA Your Role Are you an excellent communicator who thrives in whitespace, turning ambiguous business problems into well-designed technical solutions? Do you want to build high-scale, cloud-native backend systems that power marketing, profiling, and reporting across an iconic gaming portfolio? Do you enjoy building real applications (not just pipelines) to personalize the player experience? Do you care deeply about doing things the right way: reliable, secure, optimized, and maintainable? Do you love leveraging state-of-the art technologies? If you answered yes, then our Data Engineer role within Marketing Technology may be the right role for you! We are seeking an experienced data engineer to join a diverse team that sits within Marketing Technology. You’ll help build and evolve data products and services that understand and activate the player across Activision titles. This includes helping us understand our players, enabling timely communication both in-game and out-of-game for business units across the company. We are problem solvers, constantly reviewing how and why we do things, learning from each other, and raising the bar. We experiment with new technology, iterate quickly, and bring a practical innovation mindset. This role is based in our Santa Monica, CA office and follows an onsite work schedule of four days per week. Work arrangements may evolve to meet business needs. Responsibilities Design and implement scalable data pipelines and backend data services using Databricks (Spark ), Python, and SQL with a strong emphasis on reliability, observability, security, and cost/performance optimization. Build event-driven data applications and services that consume, transform, and publish player events and signals for downstream activation and analytics (e.g., player profiling, marketing triggers, identity resolution, reporting signals). Design both batch and streaming systems with strong guarantees around data correctness, idempotency, replayability, and schema evolution. Translate ambiguous business needs into technical designs, engineering plans, and measurable outcomes; clearly articulate tradeoffs and architectural decisions. Collaborate with stakeholders across Marketing, Analytics, Engineering, Product, and Legal to ensure solutions are aligned, secure, privacy-compliant, and fit-for-purpose. Apply strong engineering judgment: select appropriate architectural patterns, enforce data contracts, document decisions, and build for long-term maintainability and scalability. Improve and uphold team standards across code quality, testing practices, CI/CD pipelines, observability, monitoring, data governance, and shared libraries. Innovate thoughtfully with AI-enabled engineering tools to accelerate development while maintaining high quality, correctness, and security. Works under general guidance from senior engineers or technical leads on complex cross-system and architectural decisions. Skills (Minimum Qualifications) BA/BS degree in Computer Science or related technical field (or equivalent practical experience). 3–5+ years of professional experience building and maintaining production-grade data pipelines or backend data applications. Strong proficiency in Python and SQL, including clean architecture, testing practices, and solid engineering fundamentals. Hands-on experience with Databricks (Spark, Delta Lake, job orchestration, performance tuning, and best practices). Understanding of distributed processing systems and designing for scale, reliability, and cost efficiency. Experience working effectively in ambiguous problem spaces with cross-functional stakeholders and evolving requirements. Able to clearly explain technical designs and tradeoffs to both technical and non-technical audiences. Nice-To-Haves Experience with cloud platforms (AWS, GCP, or Azure), including storage, compute, networking, and IAM/security concepts. Experience in modeling and working with marketing and player behavioral data. Experience with Spark Structured Streaming and streaming design patterns (watermarking, late data handling, idempotency, replay strategies). Experience with distributed messaging systems such as Kafka and/or Pub/Sub (including schema evolution, ordering guarantees, retries, and dead-letter queues). Experience building identity resolution, attribution, or cross-platform player profile systems. Experience with Docker and containerized workloads (Kubernetes a plus). Familiarity with Looker/LookML and semantic modeling layers. Experience with data governance concepts, including data contracts, cataloging, lineage, and access controls. Experience scaling internal data products and services to stakeholder teams. Track record applying AI-accelerated engineering practices. What Success Looks Like You quickly earn trust by delivering high-quality systems that are stable, observable, secure, and performant in production. You can take defined objectives and translate them into well-structured technical solutions, partnering with senior engineers on complex architectural decisions. You raise the bar on engineering craftsmanship through better patterns, testing discipline, documentation, and operational excellence. You proactively identify opportunities to improve system performance, cost efficiency, and reliability. You build reusable components and frameworks that enable the team to move faster without sacrificing correctness or scalability. At Activision, we strive to build the most iconic brands in gaming and entertainment! We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences. We’re not just looking back at our decades-long legacy; we’re forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization. We’re in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater — this could be your opportunity to level up. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Ready to Activate Your Future? Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/. In the U.S., the standard base pay range for this role is $77,500.00 - $143,376.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

Responsibilities

The role involves designing and implementing scalable data pipelines and backend data services using technologies like Databricks, Python, and SQL, focusing on reliability and optimization. Responsibilities also include building event-driven data applications to consume, transform, and publish player events for downstream activation and analytics.