About the Role & Team
As part of the theScore Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. You’ll work hand in hand with the ML, Analytics, and Reporting teams to develop and maintain data pipelines & internally developed tools to improve workflows and automate processes wherever possible. The ideal candidate has a passion for data, a strong background in data engineering, database management & computer science. An interest in professional sports, betting and/or eSports is a plus.
About the Work
As a key member of our Data Engineering team you will:
- Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives
- Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
- Collaborate with the team to meet performance, scalability, and reliability goals
- Write out tests and thorough documentation for processes and tooling
- Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
- Maintain and expand existing systems, tooling and infrastructure
- Maintain streaming pipelines that ingest near-real time data
- Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
- Other duties as required
About You
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
- 7+ years of experience in data or software engineering
- Strong knowledge of Python or Java
- Strong knowledge of relational databases and SQL
- Strong knowledge of streaming technologies, such as Kafka, Spark, Flink and Beam
- Experience with Docker and Kubernetes
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience with BigQuery, Redshift or other SQL-based data warehouses
- Experience with at least one major cloud platform (GCP, AWS, Azure)
- Experience with testing frameworks such as Pytest, PyUnit, Junit, Mockito
- Experience with RESTful API development
- Strong organization and collaboration skills
- Excellent written and oral communications skills
- NICE TO HAVE: Experience working with Data Scientists or deploying machine learning models
What We Offer
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
#LI-Hybrid
#LI-Remote
