Our mission is to power the future of fan engagement.

Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining. Our technology powers micro-betting capabilities of the leading operators around the globe.

We are looking to hire a Senior Analytics Engineer to join the Simplebet Data Engineering Team to contribute to our data platform. This includes building ETL pipelines, Django web applications, relational databases, and streaming real time data into analytics applications and data lake. You will be responsible for fetching, organizing, manipulating, and maintaining all of our data in order to optimize machine learning research, product analytics, and streaming data products for our machine learning and customer use cases.

This position can be on-site, hybrid, or fully remote. Company offices are located in Raleigh, NC and New York, NY.

Featured 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

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

Bonus Points For

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
Knowledge of and passion for sports

Why Simplebet?

We are a group of talented individuals who are incredibly passionate about what they do, work hard to build the best products for our clients, and go above and beyond to deliver success. We love our people and are constantly working on improving our employee experience by offering perks and benefits that will help an employee not only build a career with us, but also enrich their life.

We offer:

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

Simplebet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Please let us know if you require reasonable accommodation for the interview process, and we will make every effort to provide it.

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Sr. Analytics Engineer