greenhouse
Senior Data Engineer
SecurityScorecard
Brazil, USA
Senior · 5+ years experience
Remote
USD 75000-92000 / year
Discovered 1 weeks ago
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What you will do
- We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. You'll focus on simplicity while contributing technical insights to enhance the system's performance, stability, and user experience.
- Participate in all stages of the software development life cycle, from design and development to deployment and maintenance.
- Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals.
- Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance.
- Follow clean code principles, using best practices to write secure, testable, and well-documented software.
- Work closely with a global team, including engineers and product managers, to build a stable, high-performance platform.
- Implement comprehensive testing and performance tuning to ensure system stability and uptime.
Responsibilities:
- Translate requirements, estimate effort, and address or escalate blockers as needed.
- Write clean, maintainable code that adheres to best practices in readability, design patterns, reusability, and testing.
- Own end-to-end projects, understanding and contributing to all aspects (infrastructure, application tiers, and data tiers).
- Continuously monitor performance metrics and recommend improvements or refactors.
- Our Tech Stack:
- Scala, Apache Spark, Python
- Airflow
- ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Kafka Connect
- Docker, Jenkins, Terraform, AWS
- Required Qualifications:
- 5+ years of experience working in the Data Engineering space, and with building and maintaining big data pipelines
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