project44 is revolutionizing the freight and logistics industry by applying cutting edge technologies to automate the entire lifecycle of freight shipments including quoting, scheduling, and real-time visibility. project44’s network of APIs is capable of optimizing the shipment lifecycle, empowering companies to deliver the best customer experience possible, and provide up to date data while cutting costs along the way.
We are looking for a Senior Data Engineer to join the project44 Analytics & Insights team in Chicago! The Data Engineer will help us design and build a reliable and scalable ETL, data warehouse, and ML infrastructure to help Project44 and its customers to derive actionable insights from shipment data.
What your day could consist of:
Owning data transfer between production databases and data lake, and ELT processes to populate data warehouse(s) from the data lake.
Works with data science team to suggest data and architectural solutions and productionalize ML models.
Helps to diagnose and resolve data quality issues.
Using complex SQL principles.
Working within one or more cloud data warehouses such as Amazon Redshift, Google BigQuery, Snowflake, etc...
Working within one or more open source ETL frameworks such as StreamSets, NiFi, Pentaho, Talend, etc...
Problems to Solve:
Helping our customers identify bottlenecks and other shipping issues within their supply chains.
Inventing new uses for our massive archive of shipping data.