Senior Data Engineer

Gametime United

237d • $183,250 - $215,588

About The Position

Gametime is seeking a Senior Data Engineer to help shape the future of our data platform. In this high-impact role, you’ll lead the design, implementation, and evolution of core data systems that power decision-making across analytics, product, marketing, and operations. You’ll own critical infrastructure across both batch and streaming pipelines, contribute to architectural strategy, and partner with stakeholders across the business to build scalable, reliable data solutions. As a senior member of the team, you’ll provide technical leadership, drive best practices, and mentor others as we continue to scale. We’re operating on a modern, event-driven stack, and you’ll play a key role in growing and hardening our capabilities in areas like observability, real-time processing, and platform reliability. Our stack includes: Snowflake · Airflow · dbt · Kafka (Confluent) · AWS (S3, Lambda, ECS, EKS) · Terraform · Python · SQL · Fivetran · Sigma · Monte Carlo.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in data engineering, software engineering, or platform development.
• Strong fluency in SQL and Python for both pipeline development and data analysis.
• Deep experience with modern data warehouses (e.g., Snowflake) and cloud infrastructure (AWS preferred).
• Expertise with workflow orchestration tools like Airflow and data transformation tools like dbt.
• Solid understanding of data modeling, software design principles, and engineering best practices.

Nice To Haves

• Experience with event-driven architectures and real-time data processing via Kafka or similar.
• Hands-on experience managing infrastructure with Terraform or other Infrastructure-as-Code (IaC) tools.
• Proven track record of leading complex technical initiatives and mentoring other engineers.
• Familiarity with data governance, lineage, or observability tooling.

Responsibilities

• Design and implement streaming data solutions using Confluent Kafka.
• Design and lead implementation of scalable, resilient batch and streaming pipelines using Airflow, Python, and Kafka.
• Shape the roadmap and technical direction of the Data Platform, advocating for best practices in architecture, observability, cost efficiency, and quality.
• Own development of modular, production-grade dbt models that surface business logic for downstream analytics and data science.
• Manage deployment of cloud infrastructure via Terraform across AWS environments.
• Establish and improve systems for data validation, pipeline reliability, and automated alerting.
• Provide technical leadership through code reviews, architecture discussions, and mentorship across the data and engineering orgs.
• Work closely with stakeholders in Product, Analytics, and Engineering to scope and deliver impactful data initiatives.

Benefits

• Flexible PTO
• Competitive salary & equity package
• Monthly Gametime credits for any event ($1,200/yr)
• Medical, dental, & vision insurance
• Life insurance and disability benefits
• Diverse Family-forming benefits through Carrot Fertility
• 401k, HSA, pre-tax savings programs
• Company off-sites and meet-ups
• Wellness programs
• Tenure recognition

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees