Senior Data Engineer (SQL, dbt)

Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide.

Responsibilities

Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt; Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability; Manage and maintain infrastructure using Terraform and infrastructure-as-code practices; Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React; Collaborate with data, product, and engineering teams to deliver integrated data and application solutions; Contribute to the monitoring, troubleshooting, and continuous improvement of data pipelines, applications, and infrastructure; Participate in code reviews, technical discussions, and engineering best practices using GitHub and related tools; Participate in the on-call rotation, serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four

Requirements

Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines; Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments; Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components; Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support; Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone; Availability to participate in the on-call rotation, including one primary on-call week and one backup on-call week in every four-week cycle; English level: Intermediate/Upper-Intermediate

Nice to have

Experience with Snowflake and AWS cloud services; Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering; Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews

Benefits

International projects; In-office, hybrid, or remote flexibility; Medical healthcare; Recognition program; Ongoing learning & reimbursement; Well-being program; Team events & local benefits; Sports compensation; Referral bonuses; Top-tier equipment provision