Senior Data Engineer en Playbypoint

FULL_TIME

  Remoto (8 ubicaciones) | Senior | Full time | Data Science / Analytics

1 postulaciones
Responde entre 1 y 5 días
Revisado por última vez hoy
🏓 Senior Data Engineer
📍 Remote | Full-time
Join us in building the future of racquet sports.

🧠 About the Team & Project
At Playbypoint, we're on a mission to transform the racquet sports industry with powerful, intuitive software. From tennis to pickleball, our platform helps clubs thrive by elevating player engagement and simplifying operations. As part of our Data & Insights team, you’ll work alongside backend engineers, product leaders, and business stakeholders to turn raw data into actionable insights that shape our product strategy and operational decisions.
Our team plays a critical role in helping the company scale. We believe that better data leads to better decisions—and we're building the infrastructure to make that possible.

🔧 What You’ll Do

As a Senior Data Engineer, you'll design, develop, and maintain scalable data pipelines to support our real-time and batch analytics needs. You’ll take ownership of how data flows through our system, ensuring it’s clean, accessible, and reliable for use across engineering, product, and business teams.
You’ll:
  • Build and optimize data pipelines using Kafka, Airflow, and cloud-native tools.
  • Manage data lakes and warehouses using Apache Iceberg, Amazon S3, and ClickHouse or Snowflake.
  • Ensure data integrity and quality across all stages of our pipeline.
  • Collaborate closely with analysts and engineers to support key business metrics and machine learning workflows.
  • Contribute to internal tooling that improves data observability and developer experience.
Your success will be measured by the reliability, scalability, and performance of the data infrastructure you build—as well as your ability to empower others with trusted data.

✅ What We’re Looking For

We’re looking for someone who thrives in a fast-paced startup environment and is passionate about building systems that scale.
Required:
  • 5+ years of experience in Data Engineering
  • Strong experience with streaming technologies like Kafka
  • Proficiency in Python and SQL
  • Solid experience with workflow orchestration tools (e.g., Airflow)
  • Familiarity with OLAP databases such as Snowflake, Clickhouse, or Redshift
  • Experience managing data workflows in a cloud environment (preferably AWS)

Desirable skills

Nice to Have:
  • Experience with ClickHouse
  • Certifications in AWS, Snowflake, or similar platforms
  • Hands-on knowledge of DataOps or ML Ops at scale
  • Experience with LLMs &/or Agents building
  • Familiarity with data versioning and formats like Parquet, Iceberg, or Delta Lake

🌍 Why Playbypoint?

We're not just building tools—we're building a movement to connect people through the joy of sports. You’ll join a collaborative, ambitious team where your work directly impacts thousands of players and clubs across the world. Plus, we’re remote-first and flexible, so you can work from wherever you do your best thinking.
🎯 Ready to serve up your next challenge?
Apply now and help shape the future of racquet sports.

Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.
Viajes o retiros de empresa Actividades de integración del equipo fuera del espacio de trabajo.
Computadora Playbypoint proporciona una computadora para tu trabajo.
Gastos de conferencias Playbypoint cubre algunos gastos de conferencias o seminarios relacionados con el puesto.

Política de trabajo remoto

Remoto sólo localmente

El trabajo es 100% remoto, pero los candidatos deben residir en Sudamérica, Guatemala, Costa Rica, El Salvador, México, España, Nicaragua o Panamá para postular.

  1. Empleos
  2. Data Science / Analytics
  3. Playbypoint
  4. Senior Data Engineer

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