Data Infrastructure Engineer (Data Access / Analytics Platform)

Instructure builds the world's best ecosystem for teaching and learning, used by millions of students and teachers globally.
Budapest, Hungary
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
Education · Enterprise SaaS

Description For Data Infrastructure Engineer (Data Access / Analytics Platform)

Instructure, a leading educational technology company, is seeking a Data Infrastructure Engineer to join their R&D Engineering team. This role focuses on building and maintaining their data analytics platform, serving as the single source of analytics for both product teams and customers. The position offers an opportunity to work with cutting-edge technologies like Snowflake, dbt, Kafka, and various AWS services, while solving education's most challenging data problems at cloud scale.

The ideal candidate will have extensive experience in data infrastructure development and operations, with a strong background in DevOps practices. You'll be part of a culture that values ownership, openness, simplicity, and relationships, working alongside teams that serve millions of users worldwide.

The role involves building scalable solutions that handle tens of millions of requests daily, implementing best practices through constructive code review, and participating in innovative initiatives like hackweeks and internal conferences. You'll have the opportunity to mentor other engineers and contribute to a platform that makes a real difference in education.

Instructure offers a comprehensive benefits package, including private healthcare, wellness programs, and professional development opportunities. The company maintains a fun, friendly culture that emphasizes diversity and inclusion, believing that diverse ideas lead to better solutions and a stronger business. This hybrid position is based in Budapest, offering flexibility while maintaining collaborative opportunities with the team.

Last updated 5 days ago

Responsibilities For Data Infrastructure Engineer (Data Access / Analytics Platform)

  • Build and maintain a data platform at scale
  • Work with technologies like Snowflake, dbt, Debezium, Kafka/MSK, Terraform, AWS Glue
  • Write testable, performant code that can scale to tens of millions of requests per day
  • Mentor and teach other engineers
  • Participate in code reviews and best practices implementation

Requirements For Data Infrastructure Engineer (Data Access / Analytics Platform)

Python
  • Experience with cloud-hosted, high-traffic applications
  • Experience using Snowflake with dbt
  • Experience in Python and SQL
  • Experience with AWS services and Terraform
  • Strong communication skills
  • Excellence in programming, debugging, architecture, and DevOps
  • Must pass a background check

Benefits For Data Infrastructure Engineer (Data Access / Analytics Platform)

Medical Insurance
Mental Health Assistance
  • Competitive compensation
  • Private Medicover healthcare + cafeteria plan/SZEP card
  • Wellness motivation through Wellable
  • Employee referral bonus program
  • Extra week off for the whole company every year
  • Employee recognition program
  • Goal-setting, proactive reviews, and internal training
  • Employee assistance program

Interested in this job?

Jobs Related To Instructure Data Infrastructure Engineer (Data Access / Analytics Platform)

Software Development Engineer, GTC

Software Development Engineer role at Amazon Finance Technology, building enterprise-scale financial data systems with machine learning capabilities.

Data Engineer II, eCS Data Engineering and Analytics

Data Engineer role at Amazon eCS team, building data solutions for eCommerce services with 3+ years experience required, located in Bangalore.

Global Security Operations Center Business Intelligence Engineer II

Business Intelligence Engineer II role at Amazon's Corporate Security division, focusing on security analytics, data visualization, and ETL pipeline development.

Data Engineer, GTMO Product Tech

Data Engineer position at Amazon Business focusing on building large-scale data integration services and solutions for B2B e-commerce platform.

Data Engineer, Ring AI Data Management

Lead data engineer position at Ring AI focusing on data warehouse architecture, ETL pipelines, and ML-based R&D data management