Data Engineer

Summary

Join Strike, a fast-growing Bitcoin company, as a Data Engineer. You will build and maintain data pipelines and infrastructure at scale, collaborating with data analysts and other team members. This role requires 5+ years of data engineering experience in a product-focused environment, working with high-volume data across distributed systems and cloud-based pipelines. You'll need deep knowledge of data modeling and a basic understanding of the Bitcoin protocol. Strike offers a competitive salary, equity, comprehensive health benefits, flexible PTO, parental leave, and a 401k plan. The company prioritizes talent and passion over educational credentials.

Requirements

• 5+ years of data engineering experience in a product focused environment
• Worked with high volume heterogeneous data across distributed systems
• Experience building cloud-based data pipelines e.g. using GCP or AWS
• Deep knowledge of data modeling, data access, and data storage techniques
• Basic understanding of the Bitcoin protocol, including how the blockchain and mempool work
• An understanding of system design, data structures, and algorithms
• Experience defining and building infrastructure to serve a wider product and engineering organization
• Resourcefulness, pragmatism and roll-up the sleeves mentality
• Excellent interpersonal communication and conflict resolution skills
• Able to balance both short term and long term initiatives

Responsibilities

• Collaborate with and empower data analysts by building the pipelines and tooling needed to effectively generate data-based insights
• Work with other data team members to continually improve our data infrastructure
• Work cross functionally with stakeholders across the organization to deliver value and serve the needs of our aggressive product roadmap
• Educate the business on best practices and continually raise the bar when it comes to the production, application and maintenance of data at Strike

Preferred Qualifications

• Experience with cloud data warehousing best practices, BigQuery is a plus
• Experience with orchestration and pipelining tools such as Airflow or Prefect
• Experience with Terraform and Kubernetes is a plus
• Strong knowledge of a high level programming language, preferably Python
• Experience with real-time data capture and processing
• Proficiency with data modeling and analysis using SQL

Benefits

• Salary range: $190-$200K - The actual salary will be determined using location and experience based data
• Equity in a high growth startup
• Health, dental, and vision insurance premium contributions; short & long term disability insurance and basic life insurance
• Cell phone and internet reimbursement
• Flexible PTO, sick leave & parental leave
• Access to participate in a company 401k plan