Data Engineer

Onebeat

. Develop a scalable data platform integrating multiple sources for easy access .

Posted 9/17/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data platforms, with a strong focus on ETL/ELT processes, data governance, and quality assurance. Proficient in SQL, Python, and data lake architectures, ensuring effective collaboration with data teams and stakeholders.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline DevelopmentSQL ProficiencyData Lakehouse ArchitectureMicroservices Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingETL/ELT ProcessesApache IcebergClickHouseApache SparkData GovernanceData QualityCloud Environments

Soft Skills

Strong Multitasking SkillsExcellent Communication SkillsTeam PlayerSelf-Motivated

Tools & Technologies

TemporalAWSDockerKubernetesCI/CD PracticesAWS EMRBI ToolsSupersetLookerTableau

Industry Keywords

Data InfrastructureData OrchestrationData ProcessingBatch Data ProcessingOpen-Source Data Platforms

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerETLJavaKubernetesMicroservicesPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Develop a scalable data platform integrating multiple sources for easy access
Design and enhance data tools for orchestration, governance, Data-Lakehouse, BI, and related functions
Ensure smooth operation of data systems for analysts, scientists, and engineers
Optimize data pipelines for ingestion, processing, and output in a microservices environment
Build, maintain, and monitor ETL/ELT processes and orchestrate workflows using Temporal
Troubleshoot and improve the performance, scalability, and reliability of data infrastructure including S3, Apache Iceberg, and ClickHouse
Collaborate with data scientists, analysts, and backend engineers to understand data needs and deliver solutions
Implement and champion data quality, governance, and security best practices across the platform

Requirements

What you’ll need

3+ years of experience as a Data Engineer or in a similar data infrastructure role
Strong proficiency in SQL and hands-on experience with data modeling
Experience with data lake/lakehouse architectures, such as Apache Iceberg and S3
Experience with analytical/columnar databases, such as ClickHouse
Experience building and orchestrating ETL/ELT pipelines, such as Temporal or Airflow
Strong programming skills in Python and/or Scala/Java
Experience working within a microservices architecture and cloud environments; AWS preferred
Self-motivated, strong multitasking skills, and a demonstrated team player
Excellent communication skills and ability to work independently and collaboratively
Hands-on experience with Apache Spark or similar technologies for large-scale data processing
Professional proficiency in written and spoken English
Role focused on batch data processing, not real-time streaming
Nice to have: experience with open-source data platforms and tools
Nice to have: familiarity with BI and visualization tools such as Superset, Looker, Tableau, or Metabase
Nice to have: experience with Docker and Kubernetes
Nice to have: experience with infrastructure-as-code and CI/CD practices
Nice to have: experience with AWS EMR and cloud-based Apache Spark workloads
Nice to have: experience with AI-assisted development tools such as GitHub Copilot or Cursor

Benefits

Comp & perks

Remote work
Full-time employment
Opportunity to work on an open-source data platform