{"schemaVersion":"jobsearcher.job.v1","id":"dbda8a370ddd176b59d2a313","url":"https://jobsearcher.com/jobs/dbda8a370ddd176b59d2a313","canonicalUrl":"https://jobsearcher.com/jobs/dbda8a370ddd176b59d2a313","title":"Data Engineer","description":"🚀 Now Hiring: Data Engineer (Remote – LATAM)We're partnering with Fuel Talent / SumerSports to find a talented Data Engineer to join a fast-growing, data-driven team working at the intersection of sports, analytics, and technology.📍 Location: Remote (LATAM)✈️ Occasional travel may be requiredSports domain experience required.🔹 What You'll Do:• Build and maintain scalable data pipelines using Databricks, Airflow, or Dagster• Develop ETL/ELT workflows with Python and SQL• Partner with ML and AI teams to deliver high-quality datasets• Work with modern lakehouse technologies such as Delta, Parquet, and Iceberg• Implement orchestration, monitoring, and data quality frameworks• Optimize performance, scalability, and cost across data platforms🔹 What We're Looking For:✅ 3–6 years of Data Engineering experience✅ Strong Python and SQL skills✅ Experience with Databricks, Spark, or similar big-data technologies✅ Airflow, Dagster, Prefect, or Luigi experience✅ Strong understanding of data modeling and distributed systems✅ Experience working with analytics, product, or ML teams⭐ Nice to Have:• Kafka, Spark Streaming, or Flink• AWS, Azure, or GCP• Docker and Kubernetes• MLOps exposure• Sports analytics, telemetry, or sensor data experience• Interest in American Football, NFL, or College FootballIf you're passionate about building modern data platforms and enjoy working with cutting-edge analytics and AI teams, I'd love to connect.📩 Feel free to send me your resume or reach out directly via LinkedIn.#DataEngineer #Databricks #Spark #Python #SQL #Airflow #Dagster #ETL #BigData #DataEngineering #MachineLearning #MLOps #RemoteJobs #LATAMJobs #Hiring #TechJobs","company":"Programmingcom","rawCompany":"programmingcom","city":"Northern 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partnering with Fuel Talent / SumerSports to find a talented Data Engineer to join a fast-growing, data-driven team working at the intersection of sports, analytics, and technology.📍 Location: Remote (LATAM)✈️ Occasional travel may be requiredSports domain experience required.🔹 What You'll Do:• Build and maintain scalable data pipelines using Databricks, Airflow, or Dagster• Develop ETL/ELT workflows with Python and SQL• Partner with ML and AI teams to deliver high-quality datasets• Work with modern lakehouse technologies such as Delta, Parquet, and Iceberg• Implement orchestration, monitoring, and data quality frameworks• Optimize performance, scalability, and cost across data platforms🔹 What We're Looking For:✅ 3–6 years of Data Engineering experience✅ Strong Python and SQL skills✅ Experience with Databricks, Spark, or similar big-data technologies✅ Airflow, Dagster, Prefect, or Luigi experience✅ Strong understanding of data modeling and distributed systems✅ Experience working with 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