Data Engineer

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global communication and community platform connects millions of daily active users through communities built around gaming and a wide range of shared interests. The organization plays an important role in the future of gaming and focuses on making it easier and more enjoyable for people to connect before, during, and after playing games.

The organization is seeking an experienced and passionate Data Engineer, Analytics to join its data team. The role focuses on building the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and use independently.

The successful candidate will help define and operationalize the metrics used to identify opportunities, measure success, and support business decisions. The role is well suited for someone passionate about data modeling, metric design, and empowering teams with reliable and accessible data.

What You Will Be Doing

• Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses.
• Own metric definitions end to end, from partnering with data science and product teams to define what should be measured, to implementing metrics in production and surfacing them in visualization tools.
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.
• Partner closely with data science, product management, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets.
• Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets owned.
• Drive adoption of consistent data modeling patterns, naming conventions, and documentation standards across the data organization.

What You Should Have

• 3+ years of experience in analytics or data engineering, with a strong focus on building curated, consumer-facing datasets.
• 3+ years of experience designing, developing, and maintaining robust data models from structured and unstructured sources.
• 3+ years of experience writing accurate and effective SQL code.
• Experience designing data models to support a variety of use cases, including experimentation.
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices.
• Experience building and owning executive-level dashboards and reports using BI tools such as Looker, Tableau, or similar platforms.
• Strong business acumen and the ability to partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models.
• Excellent communication skills and the ability to serve as a connection point between technical and business teams.
• A desire to work with talented, passionate professionals who care deeply about solving challenging problems and improving the user experience.

Disclaimer

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1.No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.

2.No Client Relationship: This company is not a client of SpringCube unless stated.

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