Staff Data Engineer
About The Position
GameChanger is a remote-first technology company based in New York City that builds products for youth sports. The Data Engineering team develops the platform that collects and makes data available for analytics and for commercial and product teams. The Staff Data Engineer sets technical direction, leads complex cross-team initiatives, and remains hands-on building data systems and self-service frameworks. The role partners with engineering and business teams to anticipate needs, strengthen the platform, enable new capabilities, and lead adoption of AI-assisted development practices. The position may be performed remotely within the United States or from GameChanger’s Manhattan office. The target salary range is $170,000–$185,000, with a competitive total rewards package that includes incentive, equity, and benefits for eligible roles. Hiring is unavailable in Alaska, Delaware, Hawaii, Iowa, Louisiana, Mississippi, Montana, Oklahoma, and South Carolina.
Requirements
- At least 8 years of experience building data or backend systems, including leading technical work spanning multiple teams.
- Expertise with AI-assisted software development.
- Expertise in Python for data pipelines and maintainable production software.
- Expertise with SQL and cloud data warehousing using Snowflake or BigQuery.
- Experience building software systems or partnering closely with the teams that build them.
- Proficiency with containers and orchestration tools, preferably Airflow.
- Proficiency with infrastructure-as-code tools such as Terraform.
- Proficiency with Kubernetes, Kafka, and streaming data pipelines.
- Proficiency with cloud computing services such as AWS, Google Cloud, or Azure.
- Excellent written and verbal communication skills, including tailoring messages to audiences and influencing without direct authority.
- Prioritizes team success and growth and enjoys helping others learn and improve.
- Curiosity and self-motivation to bring new tools and techniques to the team.
- Excitement about the possibilities and challenges created by AI adoption.
Nice To Haves
- Experience building CDC platforms, front-end behavior tracking, MLOps platforms, or AI self-service tooling.
Responsibilities
- Set multi-quarter technical direction for the data platform in partnership with the Data Engineering Manager.
- Turn project ideas into execution plans and establish clarity and alignment on scope for large, ambiguous, cross-functional projects.
- Build relationships with technical and non-technical partners, meet regularly to understand their goals and priorities, and lead advocacy conversations and training to influence adoption.
- Architect and build scalable, robust, and efficient data platforms for analytic and operational needs across the organization.
- Review relevant specifications and pull requests across the company to influence strong design decisions.
- Champion changes that enable AI-assisted self-service analytics and AI-assisted development.
- Improve existing systems’ performance, observability, reliability, and scalability, identifying infrastructure and software patterns as needed.
- Share knowledge through technical documentation, code reviews, tech talks, mentoring, and proposed standards.
- Participate in the Data Engineering on-call rotation and debug and troubleshoot complex problems across multiple systems and services.
Benefits
- Unlimited vacation policy.
- Paid volunteer opportunities.
- Technology stipend of $4,000 every two years after start.
- Work-from-home stipend of $500 annually.
- Learning stipend of $500 annually toward continued development.
- Monthly physical, mental, wellness, and learning stipend through Holisticly.
- Monthly lifestyle stipend through Fringe.
- Medical, dental, vision, prescription, FSA, HRA, HSA, and family/dependent coverage.
- Traditional and Roth 401(k) plans through Vanguard, with an immediate company match.
- Basic life, supplemental life, and dependent life insurance.
- Short-term and long-term disability coverage.
- Company-paid parental leave: up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents.
- Family-building benefits through Progyny.
- DICK’S Sporting Goods and family-of-brands teammate discount.
- Incentive and equity for eligible roles.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
