Senior Analytics Engineer – Internal Data

🕒 May 26

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Newsela

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

💰 $100M Series D on 2021-02

Newsela is a fast-growing education technology startup with a single ambitious goal: Meaningful classroom learning for every student. We provide engaging, relevant instructional content for teachers that both educates and inspires. With nearly two million teachers signed up, Newsela is helping kids improve their reading skills in all 50 states and more than 150 countries. We seek passionate, creative employees with quick minds and warm hearts. If you believe that all students deserve a more rigorous, more personalized learning experience, please apply to join our team.

📋 Description

• Seeking to hire a Senior Analytical Engineer - Contractor based out of Mexico or Argentina for Newsela's Internal Data Team. • We are looking for a Senior Analytics Engineer to join our data team. • Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data. • You will provide clean and organized data sets to end users. • You will be provide expert code reviews and mentorship to other engineers in the data space. • You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build. • You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions. • You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

🎯 Requirements

• 8+ Years experience working with data in a software environment. • Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. • Experience with dbt orchestration and best practices. • You have a track record of working autonomously and proactively, with deep domain knowledge of data systems. • Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau. • Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

🏖️ Benefits

• Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits