Data Engineer

Ibotta

. Build and maintain Terraform provisioning the data platform, primarily Databricks on AWS .

Posted 10/23/2026full-timeDenver • Colorado • United StatesMid-LevelSenior💰 $110,000 - $126,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data platforms using Terraform, AWS, and Databricks, with a strong focus on compliance, data sharing, and automation. Proficient in Python and SQL, with experience in big data pipeline development and governance in cloud environments.

Highest-signal resume keywords

Terraform ProvisioningDatabricks ExperiencePython ProficiencyAWS Infrastructure ManagementData Platform Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLTerraformDatabricksBig Data PipelinesMedallion ArchitectureData TransformationWorkload OrchestrationDistributed Data ProcessingCloud Compliance

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AWSGCPAzureDatabricks Clean RoomsDelta SharingRemote File Shares

Industry Keywords

Data GovernanceData PrivacyTenant IsolationCompliance ReviewsAudit Evidence Collection

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

Build and maintain Terraform provisioning the data platform, primarily Databricks on AWS
Implement engineered controls across the data platform to ensure compliance with governance policies
Develop and support secure external data exchange using Databricks Clean Rooms, AWS Clean Rooms, Delta Sharing, and Remote File Shares
Automate audit evidence collection and reporting for InfoSec, legal, and third-party compliance reviews
Improve data platform operations by automating manual processes, optimizing data delivery, and designing reliable, high-performance infrastructure
Resolve incidents, manage workspace health monitoring, optimize cloud costs, and participate in an on-call rotation
Use AI-assisted development thoughtfully while independently validating code, tests, system behavior, and correctness
Collaborate with cross-functional engineering teams on requirements and project prioritization

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or equivalent experience
3+ years of software engineering experience focused on data platform engineering, external data sharing integrations, or backend development
Proficiency in Python and SQL
Familiarity with distributed data processing patterns
Experience operating governed data environments
Experience with Medallion Architecture or similar layered data design patterns
Experience building big data pipelines supporting data transformation, metadata, dependency management, and workload orchestration
Experience provisioning and managing AWS, GCP, or Azure infrastructure with Terraform
Experience maintaining reusable deployment modules
Hands-on experience with AWS and Databricks
Practical experience with Databricks Asset Bundles (DABs) highly preferred
Understanding of tenant isolation, clean rooms, data privacy, and cloud compliance requirements
Ability to collaborate with cross-functional engineering teams and translate requirements into actionable technical requirements
Candidates must live in the United States
Applicants must be currently authorized to work in the United States on a full-time basis
Willingness to work in the Denver office three days per week (Tuesday, Wednesday, and Thursday)

Benefits

Comp & perks

Relocation bonus
Competitive pay
Flexible time off
Medical insurance
Dental insurance
Vision insurance
Employee Stock Purchase Program
401(k) match
Paid parking
Snacks
Occasional meals
Equity included in overall compensation package