Senior Data Engineer

Correlation One

. Develop long-term technical vision for the team .

Posted 6/29/2026contractRemote • 💃 Anywhere in Latin AmericaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production data pipelines using Python, advanced SQL for analytics, and orchestration tools like Airflow. Proven ability to mentor engineers and uphold engineering standards while fostering collaboration through comprehensive documentation.

Highest-signal resume keywords

Production Data Pipeline DevelopmentAdvanced SQL SkillsAirflow OrchestrationCloud Environment Experience (GCP)CI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingBatch ELT PipelinesData IntegrationData Quality ToolingInfrastructure-as-Code (Terraform)APIsData WarehousingIncremental Loading Patterns

Soft Skills

MentoringCollaborationPragmatic Decision-MakingAdaptabilityProblem-Solving

Tools & Technologies

AirflowDbtGitHubCI/CD ToolsBI Tools

Industry Keywords

Data EngineeringOperational ExcellenceDocumentation StandardsAnalytics WorkflowsIterative Development

Tech Stack

Tools & technologies

AirflowCloudGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

Develop long-term technical vision for the team
Design technical strategy to develop components, frameworks and libraries to create seamless applications for our customers
Hands-on development of scalable components and applications
Mentor engineers including senior and junior engineers on their team
Improve and uphold standards for engineering and operational excellence
Create and encourage comprehensive documentation for code, libraries, and components to facilitate collaboration and knowledge sharing within the team

Requirements

What you’ll need

4+ years of experience in data engineering or closely related roles
Strong experience building and maintaining production data pipelines using Python
Hands-on experience integrating data from external APIs
Experience operating batch ELT pipelines and working with data warehouses
Advanced SQL skills and experience modeling data for analytics and reporting use cases
Experience working with orchestration tools such as Airflow
Familiarity with dbt or similar transformation tools, and comfort working closely with analytics teams
Demonstrated ownership of production systems, including monitoring, debugging, and incident response
Comfort working in ambiguous environments and making pragmatic technical decisions
Experience working in a cloud environment such as GCP (or equivalent)
Familiarity with CI/CD practices and source control (e.g., GitHub)
Experience working in collaborative, iterative development environments
Additional preferred experience:
Designing or migrating pipelines toward incremental loading patterns
Working with infrastructure-as-code tools (e.g., Terraform)
Experience with data quality tooling, testing, or observability
Exposure to BI tools or supporting analytics workflows
Experience learning and adopting new tools or technologies quickly

Benefits

Comp & perks

Insurance or subsidies based on country
Unlimited Time Off, with a minimum time off recommendation
Company-paid holidays
Official company-wide holiday for the last week of the calendar year
Access to free data skills training through our programs
A company culture that empowers individuals and embraces diversity through its core mission