Data Engineer

Description: Join Loopio’s Data Engineering Team to transform the RFP response process and deliver innovative data solutions. Build and support data pipelines for analytics, empowering teams with tools for data-driven decision making. Requirements: 3+ years of experience in data engineering or a similar role. Strong understanding of database concepts, SQL, and query optimization. Proficiency in Python or other programming languages (Scala, Java). Hands-on experience with AWS services (RDS, S3, Redshift, etc.) and ETL processes. Familiarity with data visualization tools (Quicksight, Tableau) and MPP frameworks (Spark, Flink). Experience with CI/CD tools (Jenkins) and pipeline orchestration (Databricks Jobs, Airflow). Strong communication and collaboration skills, with the ability to work in a high-growth agile environment. Benefits: Flexible remote work options with co-working locations in Canada. Ongoing feedback and support for professional development. Health and wellness benefits starting from day one. Work-from-home budget and equipment provided. Opportunities for connection and collaboration in a remote-first culture.