Apply

Ready to go for it?

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

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

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

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

Mid-Level Data Engineer

CI&T

. Develop and maintain data pipelines .

Posted 9/24/2026full-timeBrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Proficient in developing and maintaining data pipelines, with expertise in Python, SQL, and cloud platforms such as Azure, AWS, or GCP. Demonstrates strong collaboration skills and a commitment to quality and documentation in data engineering practices.

Highest-signal resume keywords
Data Engineering ExperienceProficiency In PythonProficiency In SQLExperience With SparkETL/ELT Pipeline Development

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
Data Pipeline DevelopmentData TransformationData IngestionETL/ELT ProcessesLakehouse ArchitectureMonitoring And Quality ControlsTroubleshootingDocumentationCode VersioningCloud Platforms
Soft Skills
TeamworkCollaboration
Tools & Technologies
SparkDatabricksAzureAWSGCP
Industry Keywords
Data IntegrationData DeliveryBest PracticesOperational CapacityTechnical Skills Development

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop and maintain data pipelines
  • Create integrations with data sources and destinations
  • Implement transformations across data layers
  • Support fixes and improvements to existing pipelines
  • Implement monitoring and quality controls
  • Support troubleshooting of ingestion issues
  • Work according to standards defined by the Tech Lead and Architecture team
  • Document pipelines and components
  • Continue developing technical skills alongside the team
  • Build and enhance pipelines and integrations, ensuring operational capacity for the Tactical team
  • Collaborate with more senior professionals to transform platform needs into sustainable, scalable solutions

Requirements

What you’ll need
  • Professional experience in Data Engineering
  • Proficiency in Python and SQL
  • Experience with Spark and/or Databricks
  • Knowledge of cloud platforms—Azure, AWS, or GCP
  • Experience developing ETL/ELT pipelines
  • Knowledge of data ingestion, transformation, and delivery
  • Familiarity with Lakehouse architecture
  • Knowledge of best practices for quality, documentation, and code versioning
  • Ability to investigate issues and implement fixes and improvements to pipelines
  • Strong teamwork and collaboration skills, including the ability to work with more senior professionals

Benefits

Comp & perks
  • Medical and dental insurance
  • Food and meal allowance
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
  • Profit Sharing and Results Program (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical and mental health and well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online course platforms
  • Language learning platform
  • Support and accommodations for people with disabilities
  • Dedicated Health and Well-being team, inclusion specialists, and affinity groups