Senior Data Engineer
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Job Description
Senior Data Engineer modernizing scalable data pipelines for a cybersecurity solution protecting applications from automated attacks. Optimizing SQL, DBT, Snowflake, and Elastic workflows.
Responsibilities:
- Develop a deep understanding of core products, including legacy code and multiple services
- Proactively identify problems, inefficiencies, risks, technical gaps, and improvement opportunities
- Implement improvements and negotiate with product engineering teams to secure buy-in
- Plan short-term wins and long-term improvement strategies
- Maintain and enhance existing data processes for reliability, performance, and scalability
- Build comprehensive understanding of existing tables, data flows, and jobs
- Drive reliability and performance improvements across data workflows
- Own and execute data process modernization initiatives
- Collaborate cross-functionally to ensure architectural alignment and adoption of best practices
Requirements:
- 5+ years of overall experience in Data Engineering
- Expert-level SQL skills, including optimization of complex queries for latency and performance
- Proficiency with DBT for data transformation and modeling
- Strong data engineering fundamentals and database knowledge (DDL/DML/SQL)
- Hands-on experience with Snowflake and Elastic
- Deep experience building, scaling, and managing large-scale data pipelines
- Proven ability to work independently, take ownership, and drive initiatives to completion
- Practical experience with Airflow for workflow orchestration (nice-to-have)
Benefits:
- Remote work availability
- Full-time employment
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