HackerOne is hiring a
Staff Data Engineer, Remote - United States
Summary
HackerOne is seeking a Staff Data Engineer to lead the development of high-performance data products and solutions. The role involves working remotely and requires experience with Python, SQL, and various data technologies like Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker.
Requirements
- 8+ years experience developing data frameworks (preferably using Python)
- 8+ years of using SQL for data manipulation in a fast-paced work environment
- Strong programming skills, knowledge of algorithms, and data structures
- Extensive experience building and optimizing data pipelines, products, and solutions
- Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker
Responsibilities
Lead the discovery, architecture, and development of high-performance, scalable data products and solutions
Preferred Qualifications
- US EST and CST time zones
- Champion of new initiatives focused on architectural enhancements
- Experience working with Kubernetes
- Proven track record of driving innovation, adopting emerging technologies and implementing industry best practices
- Passion for working backwards from the Customer and empathy for business stakeholders
- Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats
- Experience working with Agile and iterative development processes
Benefits
HackerOne is a digital-first company, offering flexibility in time and location
This job is filled or no longer available
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