Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Localiza&Co

Senior Data Engineer

Localiza&Co

Senior Data Engineer designing and implementing data solution for Localiza&Co. Collaborating across teams to architect and manage scalable data pipelines using AWS and Python.

Posted 6/30/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AirflowApacheAWSCloudETLKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, develop and implement robust data pipelines that integrate data from diverse sources, primarily using tools from the AWS ecosystem
  • Understand business and software product requirements and translate them into efficient, scalable data products
  • Serve as a technical reference for the architectural design of data-driven and AI-first solutions, coordinating between product, analytics and ML teams to define standards, best practices, SLAs, observability and platform governance
  • Implement scalable, efficient data enrichment solutions using DBT to transform raw data into tailored data models and actionable business insights
  • Manage integrations, transformation processes and task automations using data connectors, SQL APIs, Python and REST
  • Use SQL for querying and manipulating data in relational and non-relational databases
  • Apply Spark for processing large volumes of real-time data (Kafka and similar platforms)

Requirements

What you’ll need
  • AWS (Athena, S3, EMR, Glue, Lambda)
  • Proficiency in SQL, DBT, Python and Spark
  • Experience with data orchestration tools such as Apache Airflow
  • Knowledge of different data architecture and modeling techniques for analytics (e.g., Data Mesh, Data Mart, Data Lake, Data Warehouse)
  • Experience with Data Modeling (relational and/or analytical) and ETL processes
  • Experience in Software Development (APIs, Gateways, Microservices and Containers) and CI/CD
  • Familiarity with software engineering best practices (documentation, automated testing, clean code, monitoring — Datadog)
  • AWS certifications related to the Cloud Data Engineer role (Cloud Practitioner, Data Engineer, Solutions Architect, Machine Learning Engineer)

Benefits

Comp & perks
  • Profit sharing
  • Company car
  • Food allowance
  • Meal allowance
  • Health insurance
  • Dental insurance
  • Gympass
  • Private pension plan
  • Home office allowance
  • Allya
  • Unlimited access to courses from our Localiza University
  • Internal training and development programs
  • Discounts on vehicle purchase and rentals

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills & Tools
Data Pipeline DesignData ModelingETL ProcessesData OrchestrationSQL QueryingData TransformationAPI DevelopmentMicroservicesCI/CD PracticesAutomated Testing
Soft Skills
CollaborationCommunicationProblem-Solving
Certifications
AWS Cloud PractitionerAWS Data EngineerAWS Solutions ArchitectAWS Machine Learning Engineer