Remote Data Engineer

Summary

Join our team as a Data Engineer to design and develop scalable data pipelines, collaborate with cross-functional teams, and participate in agile development processes.

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

Responsibilities

• 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

Preferred Qualifications

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization
• Experience working with TB scale data