Instructure

3 weeks ago

Sr. Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead the development and scaling of core data infrastructure by architecting “Sources of Truth” and transforming raw data into governed, authoritative data marts. Build high-performance ETL/ELT pipelines into Snowflake, implement a Semantic Layer for consistent metrics and dimensions, and use dbt models to create modular, tested foundations for BI. Work with Databricks, PySpark, AWS, and automated testing/monitoring to ensure reliability, availability, security, and cost efficiency.

Location: Mexico City

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into the Snowflake Data Cloud.
•Manage and optimize data flows within AWS (S3, Lambda, IAM) for high availability, security, and cost-efficiency.
•Use Databricks and PySpark to perform complex data transformations and high-volume processing.
•Define, implement, and scale a Semantic Layer to standardize business logic, metrics, and dimensions for downstream consumers.
•Implement data governance and quality through automated testing and monitoring for trusted data marts.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key Requirements

•Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake.
•Expert proficiency with Snowflake (including clustering, Snowpipe, streams, and tasks) or similar cloud data warehouses.
•Advanced dbt and complex SQL transformation skills, including building semantic models and metric definitions.
•Strong Python skills with Databricks experience for Spark-based orchestration and high-scale data transformations.
•Practical AWS experience for data workflows and deep understanding of Git-based workflows with CI/CD for data.

Skills:Problem-solvingData governanceScale-orientedEfficiency

Tech Stack:DatabricksFivetranDbtSnowflakeAWSS3LambdaIAMPythonPySparkMetricFlowSnowpipeGitCI/CDSemantic LayerSQLStreamsTasksClustering

Company Brief

Instructure

Builds and delivers learning management and education technology solutions, best known for the Canvas LMS platform, serving K–12 schools, higher education institutions, and corporate learning programs worldwide.

Industry: EdTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Salt Lake City, United States

Founded: 2008

Website LinkedIn

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Instructure

3 weeks ago

Sr. Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Mexico City

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into the Snowflake Data Cloud.
•Manage and optimize data flows within AWS (S3, Lambda, IAM) for high availability, security, and cost-efficiency.
•Use Databricks and PySpark to perform complex data transformations and high-volume processing.
•Define, implement, and scale a Semantic Layer to standardize business logic, metrics, and dimensions for downstream consumers.
•Implement data governance and quality through automated testing and monitoring for trusted data marts.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key Requirements

•Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake.
•Expert proficiency with Snowflake (including clustering, Snowpipe, streams, and tasks) or similar cloud data warehouses.
•Advanced dbt and complex SQL transformation skills, including building semantic models and metric definitions.
•Strong Python skills with Databricks experience for Spark-based orchestration and high-scale data transformations.
•Practical AWS experience for data workflows and deep understanding of Git-based workflows with CI/CD for data.

Skills:Problem-solvingData governanceScale-orientedEfficiency

Tech Stack:DatabricksFivetranDbtSnowflakeAWSS3LambdaIAMPythonPySparkMetricFlowSnowpipeGitCI/CDSemantic LayerSQLStreamsTasksClustering

Company Brief

Instructure

Industry: EdTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Salt Lake City, United States

Founded: 2008

Website LinkedIn