Data Engineer

Job Description

Paradigm is seeking a Data Engineer to join their team and build cutting-edge, distributed financial service infrastructure. The Data Engineer will be a vital member of the data engineering team and will architect and implement robust data infrastructure that transforms raw data into actionable insights. They will be responsible for building scalable pipelines and data models that power critical decision-making across the organization. The Data Engineer's expertise will be crucial in establishing data best practices and ensuring data quality, accessibility, and reliability throughout Paradigm's systems. They will report directly to data team.

What this role involves:

• Designing and building scalable data pipelines, ETL processes, and data warehousing solutions.
• Improving data infrastructure performance and implementing data quality measures.
• Partnering with product, engineering and go-to-market teams to deliver data solutions.
• Addressing time-sensitive data needs and ad-hoc requests from stakeholders.

Requirements:

• 7+ years of data engineering experience.
• Deep knowledge of data modeling, warehouse design, and ETL best practices.
• Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
• Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows.
• Track record of efficiently tackling urgent data requests.

Paradigm offers:

• Competitive pay.
• Unlimited vacation.
• Comprehensive benefits packages.
• Technology & Learning Allowances.