Data Engineer
April 12
Description
• Legalist is an institutional alternative asset management firm • As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth and strategy of our data pipeline • In this position, you will be joining the data engineering team in an effort to take our data pipeline to the next level • Design and develop scalable data pipelines to collect, process, and analyze large volumes of data efficiently • Collaborate with cross-functional teams including data scientists, software engineers, and product managers to understand data requirements and deliver solutions that meet business needs • Develop ELT processes to transform raw data into actionable insights, leveraging tools and frameworks such as Airbyte, BigQuery, Dagster, DBT or similar technologies • Participate in agile development processes, including sprint planning, daily stand-ups, and retrospective meetings, to deliver iterative improvements and drive continuous innovation • Apply best practices in data modeling and schema design to ensure data integrity, consistency, and efficiency • Continuously monitor and optimize data pipelines and systems for performance, availability, scalability, and cost-effectiveness
Requirements
• Bachelor’s degree (BA or BS) or equivalent • A minimum of 2 years of work experience in data engineering or similar role • Advanced SQL knowledge and experience working with a variety of databases (SQL, NoSQL, Graph, Multi-model) • A minimum of 2 years professional experience with ETL//ELT, data modeling and Python • Familiarity with cloud environments like GCP, AWS, as well as cloud solutions like Kubernetes, Docker, BigQuery, etc. • You have a pragmatic, data-driven mindset and are not dogmatic or overly idealistic about technology choices and trade-offs • You have an aptitude for learning new things quickly and have the confidence and humility to ask clarifying questions
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