Sr Data Engineer (AWS) - Education Technology

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

Our client is a leading ed-tech company that helps districts and schools address staffing shortages and expand their course offerings through hybrid courses. Their mission is to radically expand access to education for middle and high school students. By offering hybrid courses, training, guidance, and strategic support, they empower districts to create sustainable, high-quality education models for the future.

Our client is looking for a Data Engineer to help build and maintain data pipelines and data warehouse infrastructure.

The Data Engineer is responsible for building and maintaining all aspects of our data pipeline and warehousing infrastructure. They will collaborate with other members of the engineering and operations teams to build and transform data that our analysts can use to create reports for internal and external stakeholders. The ideal candidate is an experienced developer who is passionate about reimagining the secondary school experience and has experience in education technology. The Data Engineer will report to the Chief Technical Officer and join a team of Full Stack and DevOps Engineers, a Data Scientist, and a Data Analyst.

• Maintenance/troubleshooting of legacy data pipelines

• Legacy Data Pipeline Rearchitecting/Refactoring

• Building pipelines to bring data from external tools such as Salesforce, Quickbase, Canvas, MasteryConnect, and Clever into our data warehouse

• 4+ years of data engineering experience

• Deep understanding of AWS data analysis and warehousing technologies such as AWS Glue, Lambda, and RedShift

• Track record of shipping high-quality software that users love

• Strong relationship and communication skills in English