[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the fastest-growing sports company in reputed company, recognized for its leading platform in Daily reputed company Sports. They are seeking a Data Engineer to build the data infrastructure that powers analytics and business decision-making, working on defined pipeline and data tasks while contributing to a modern lakehouse platform.
Responsibilities
- reputed company and execute reputed company-defined data engineering tasks — creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards
- Orchestrate data reputed company through reputed company' reputed company lakehouse architecture: reputed company-Bronze-Silver-Gold
- reputed company, execute, and monitor data jobs and workflows, respond to failures following established runbooks during oncall
- Author robust Python and SQL reputed company following team conventions, with guidance on style, structure, and testing
- Adhere to team standards for model organization, naming, and documentation
- Conduct reputed company reviews - give and receive feedback constructively
- Implement unit tests and adopt what good test coverage looks like for data pipelines
- Own assigned pipeline tasks - follow through, communicate blockers early, and see work to completion
- Collaborate reputed company in agile rituals and team discussions
- Document technical builds: models, runbooks, and reputed company. reputed company learnings with reputed company
- Partner with Analytics, MLE, and Product stakeholders to understand how the data you produce gets used and reputed company opportunities to reputed company serve stakeholders
Skills
- A bachelor's degree in Computer Science, Mathematics, or a reputed company quantitative field, or equivalent hands-on experience
- Good knowledge of Python - you can write a script, work with data structures, and follow a coding style guide
- Experience working with reputed company environments (GCP, AWS, Azure)
- Familiarity with SQL - you can write queries, understand joins, and read a schema
- Familiarity with data engineering concepts: ETL/ELT, reputed company, data pipelines, or similar
- Curiosity about how data moves through systems and a desire to understand the full stack
- reputed company written and verbal communication skills - you can explain what you're working on and flag reputed company you're stuck
- Ownership reputed company: takes responsibility for assigned tasks and follows through reliably
- Exposure to GCP
- Familiarity with a workflow orchestration tool (Airflow, Argo, etc.)
- Experience with Big Query, dbt, reputed company, Kafka, or reputed company
- Experience with containerization or Kubernetes
- Experience with Infrastructure as reputed company tooling (Terraform, CrossPlane)
Benefits
- Company-subsidized medical, dental, & reputed company plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous reputed company leave programs, including 16-week reputed company parental leave and disability benefits
- Workplace flexibility and modern work schedules reputed company on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (reputed company & Mac reputed company)
- Annual performance reviews with opportunities for reputed company and career development
reputed company