Senior Data Engineer

Klar

. Design, build, and maintain scalable data lakes and lakehouses using Apache Iceberg and AWS-native services .

Posted 9/21/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data lakes and lakehouses using Apache Iceberg and AWS services, while optimizing data pipelines for high-velocity data processing. Proven ability to collaborate with cross-functional teams to deliver data solutions for AI/ML and regulatory reporting.

Highest-signal resume keywords

Apache IcebergAWS Cloud ServicesSQLKafkaData Lakehouse Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Quality GovernancePythonGitTerraform

Soft Skills

Advanced English CommunicationIndependent WorkAdaptabilityResults Delivery

Tools & Technologies

AWS S3AWS GlueAWS RedshiftAWS AthenaKubernetes

Industry Keywords

Data EngineeringStreaming TechnologiesData OrchestrationAI/ML SolutionsRegulatory Reporting

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudKafkaKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

Design, build, and maintain scalable data lakes and lakehouses using Apache Iceberg and AWS-native services
Develop streaming and batch data pipelines for large-scale, high-velocity data from multiple sources
Build the real-time ingestion layer using Kafka or similar technologies
Optimize and maintain AWS-based infrastructure, including Redshift and surrounding services
Define and implement best practices for data quality, governance, monitoring, and reliability
Partner with engineering, analytics, and business teams to deliver scalable data solutions for AI/ML, fraud detection, and regulatory reporting
Take ownership of projects, work independently, and help guide the direction of the data platform
Shape how data is ingested, stored, processed, and consumed across the company

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related technical field
Proven experience as a Senior Data Engineer, with a track record of building large-scale data platforms
Hands-on experience building data lakes/lakehouses with frameworks such as Apache Iceberg
Strong skills in SQL, Python, and Git
Deep experience with AWS cloud services, including S3, Glue, Redshift, and Athena
Experience with streaming technologies like Kafka, RisingWave, or Flink
Familiarity with data orchestration tools such as dbt, Mage.ai, Airflow, or Dagster
Advanced English communication skills
Ability to work independently, adapt quickly, and deliver results in a fast-paced environment
Experience in Terraform for infrastructure as code is desirable
Experience working with Kubernetes is desirable

Benefits

Comp & perks

Chance of earning Klar stock options
26 days of paid vacation per year
Computer devices
Sponsored coaching and therapy sessions via Mantra Care
International work environment with amazing and highly skilled people
A world class team that helps you evolve your skills in areas you're interested in
Safe, welcoming, diverse, and inclusive environment