Simplebet is hiring a
Sr. Analytics Engineer in Worldwide

Summary

Simplebet is a sports technology company looking to hire a Senior Analytics Engineer to join their Data Engineering Team. The engineer will build ETL pipelines, web applications, databases, and real-time data infrastructure for optimizing machine learning research, product analytics, and streaming data products. They will also work closely with the product analytics team and help manage BI infrastructure. This position can be on-site, hybrid, or fully remote.

Requirements

• 4+ years of data-oriented software development experience
• Proficiency with SQL and Python
• Strong understanding of database and Data Lake design
• Experience building and maintaining web services in production using a modern framework like Django, Flask, or FastAPI
• Experience with a message broker or data streaming technology such as RabbitMQ or Kafka
• Experience deploying applications into a Kubernetes environment
• Experience utilizing version control tools such as GitHub
• A DevOps mindset characterized by automation, collaboration, continuous improvement, and a hyperfocus on user needs and frequent iteration
• Strong communication skills and ability to distill technical solutions into business terms
• Creative problem-solving abilities to embrace and navigate ambiguity and change
• Insatiable curiosity and interest in learning new things

Responsibilities

• Build robust and reliable ETL pipelines using Python, SQL, Prefect, Databricks, dbT, Kafka, and PostgreSQL
• Organize raw sports data from a variety of sources into a cohesive, centralized data warehouse
• Build and improve our real-time streaming data infrastructure and products
• Work closely with the product analytics team to supply tools for supporting data analytics
• Help manage and build BI infrastructure
• Conduct adhoc data analysis for performance monitoring, data quality anomaly detection, and business efficiency
• Participate in modern workflows such as source code and code reviews
• Build and optimize the performance of data pipelines and analytical tools for scale
• Foster innovation with emerging technologies and by staying current with industry trends
• Guide professional development of the team through technical leadership
• Partner with stakeholders to solve business problems with technical solutions
• Maintain detailed documentation of data pipelines, processes, and best practices

Preferred Qualifications

• Experience working with Databricks, Prefect, Spark, Celery, and/or Tableau
• Experience with ML Classification models
• Experience with a monitoring/observability tool stack such as ELK, Datadog, Splunk, etc
• Experience supporting Data Science / Machine Learning teams

Benefits

• A fun, collaborative, and flexible work environment
• PTO that goes up with your tenure, generous parental leave, unlimited sick days
• Competitive health and wellness benefits, a 401K company match
• Events and team activities, both virtual and in-person
• Competitive compensation package that will be in line with your level of relevant experience