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intive

Senior Data Engineer

intive

Senior Data Engineer designing data pipelines and processing for a remote workforce in innovative digital experiences. Collaborating with global teams to deliver high-quality solutions.

Posted 7/9/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building data warehouses and processing systems, with a strong focus on data pipelines and agile methodologies. Proficient in utilizing AWS services and tools for high availability and reliability in data solutions.

Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingAWS Services (ECS, EKS, Lambdas)Airflow and DBT ExperienceInfrastructure as Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Warehouse DesignData ProcessingRequirement AnalysisAgile MethodologiesMachine Learning
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
AWSAirflowDBTTerraformDagster
Industry Keywords
Medallion Data ArchitecturePerformance OptimizationNetwork UtilizationResource Impact

Tech Stack

Tools & technologies
AirflowAWSPythonRubyRuby on RailsScalaTerraform

About the role

Key responsibilities & impact
  • Design and build clean data wherehouse and data processing.
  • Participate in the entire development process, from designing small components to independently completing user stories.
  • Lead and contribute to requirement analysis, planning, design, development and testing.
  • Break down complex problems into manageable tasks and contribute to well-architected solutions.
  • Collaborate with peers and seniors within your team and across the organization.
  • Work with product managers using agile methodologies to deliver high-quality solutions on time.
  • Partner with operations teams to ensure applications and services are highly available and reliable.
  • Understand and address engineering-related concerns such as performance, network utilization, and resource impact.

Requirements

What you’ll need
  • Profile with experience in data pipelines with large volumes of data.
  • Proficient in one or more of the following languages: Python, Ruby on Rails, Scala or similar.
  • Experience with AWS, over ECS, EKS and AWS lambdas.
  • Knowledge on Medallion (Bronze / Silver / Gold) data architecture Airflow, Dagster or similar.
  • Nice to have: Machine Learning.
  • Experience with Terraform as IaC.
  • Experience with Airflow and DBT.

Benefits

Comp & perks
  • Career Path Planning – You can create a career path based on your goals.
  • We provide training, mentoring, and support to help you along the way.
  • Training & Mentorship – Learning and Development is a big part of our company culture.
  • You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program.
  • Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart.