Senior Data Engineer

Instructure

Senior Data Engineer at Instructure leading development and scaling of data infrastructure. Transforming raw data into authoritative sources and building high-performance data pipelines.

Posted 7/9/2026full-timeRemote • Florida • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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 transformations and high-volume data processing.
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.
Data Governance & Quality: Implement automated testing and monitoring to ensure the integrity and reliability of finished data marts.

Requirements

What you’ll need

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 in 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.
A Data Quality Champion: You believe data is a liability until it’s governed. You have a passion for data modeling and reducing "metric drift" across the organization.
Scale-Oriented & Efficient: You design for the long term. You take pride in building streamlined, cohesive data environments that eliminate redundancy and fragmentation. By focusing on modular design and automation, you ensure our infrastructure is never fragile, remaining stable and easy to navigate even as data complexity and volume grow.
A Problem Solver: You find the root cause of data discrepancies and build automated solutions to prevent them from recurring.

Benefits

Comp & perks

Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
Comprehensive wellness programs and mental health support
Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
The technology and tools you need to do your best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETL/ELT Pipeline EngineeringSnowflakeDbtSQLPythonDatabricksAWSGitCI/CDData Modeling

Soft Skills

Problem SolvingPassion for Data GovernanceScale-Oriented Design