Instructure
Sr. Data Engineer
GB
,
EURemotePosted Today$145,000 – $195,000
Full TimeSeniorRemote
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Job Description
At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal devel
Key Highlights
- End-to-End Pipeline Engineering: Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into our Snowflake Data Cloud.
- Cloud Infrastructure: Manage and optimize data flows within an AWS environment (S3, Lambda, IAM), ensuring high availability, security, and cost-efficiency.
- High-Scale Processing: Leverage Databricks and Python (PySpark) to handle complex data transformations and high-volume workloads.
- Implement the Semantic Layer: Collaborate with the team to define, implement, and scale our Semantic Layer (via dbt Semantic Layer, MetricFlow, or similar) to standardize business logic, metrics, and dimensions for all downstream consumers.
- Model for Truth: Use dbt to build modular, version-controlled, and tested data models that serve as the definitive foundation for business intelligence.
Qualifications
Required Qualifications
- Data Warehousing: Expert-level proficiency in Snowflake (clustering, Snowpipe, streams, and tasks) or similar cloud data warehouses.
- Analytics Engineering: Advanced mastery of dbt and complex SQL transformation logic, with specific experience building semantic models and metric definitions.
- Big Data & Code: Strong Python skills and hands-on experience with Databricks for Spark-based orchestration.
- Cloud Infrastructure: Practical experience managing data workloads within AWS.
- Version Control: Deep understanding of Git-based workflows and CI/CD for data.
Skills & Technologies
GoAWSPythonSQLGitCI/CD
About the Company
Instructure
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$145,000 – $195,000
Location
GB , EU
Work Mode
Remote
Posted
Today