Remote Senior Data Engineer

Summary

Join theScore Data Engineering team as a key member to develop high-quality and sustainable data-driven solutions. Collaborate with teams to build data pipelines, infrastructure, and tooling. Maintain and expand existing systems, tooling, and infrastructure.

Requirements

• 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

Responsibilities

• 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 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

Benefits

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements
• Parental leave top up
• Opportunities for career progression and mentoring others