TL;DR
Senior Data Engineer (Gaming): Creating and maintaining data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs with an accent on building database architectures with massive and complex data. Focus on improving ETL performance, reducing costs, and enhancing the overall data platform experience.
Location: United States
Salary: $196,000 to $220,500 + equity + benefits
Company
hirify.global is a multiplatform, multigenerational, and multiplayer platform that helps people deepen their friendships around games and shared interests.
What you will do
- Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs.
- Design and build database architectures with massive and complex data.
- Partner closely with data science and engineering teams to improve instrumentation coverage, accuracy, and reliability across hirify.global's products.
- Build scalable data quality audits, implementing automated alerting and anomaly detection systems.
- Proactively identify and execute opportunities to improve ETL performance, reduce costs, and enhance the overall data platform experience.
- Create dashboards and reporting infrastructure that enable self-serve analytics and support key business objectives across functional teams.
Requirements
- 4+ years of experience building data pipelines in production environments with high volumes of consumer data.
- 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources.
- 4+ years of experience writing accurate and effective code in SQL and Python.
- Experience implementing and monitoring audits for data quality with massive data sets.
- Experience proactively identifying opportunities to improve ETL & dashboard performance and cost.
- Experience collaborating directly with data science, machine learning, and product engineering teams.
Nice to have
- hirify.global passion: You're an active hirify.global user or have deep knowledge of gaming and creator communities.
- Data architecture expertise: Experience owning data models for functional areas with deep knowledge of performant, scalable design patterns.
- Modern data stack: Hands-on experience with BigQuery, Airflow, DBT, or similar technologies in production environments.
- Visualization platforms: Proficiency with Looker, Tableau, or similar BI tools and understanding of how data architecture impacts dashboard performance.
Culture & Benefits
- Committed to inclusion and providing reasonable accommodations during the interview process.
- A collaborative attitude and a healthy dose of natural curiosity.
- Equity + benefits included.
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