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.
Review ALL

Senior Data Engineer

Review ALL

Senior Data Engineer responsible for optimizing data pipelines and maintaining data quality. Collaborating on data strategies and implementing analytical models for business needs.

Posted 5/15/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AWSETLGrafanaKafkaKubernetesPrometheusPythonSQLTerraformUnity

About the role

Key responsibilities & impact
  • Use of Claude Code to accelerate engineering, orchestration of agentic workflows, and integration via MCP
  • Develop and optimize scalable, reliable, and efficient data pipelines
  • Implement processes and tools to ensure data quality, accuracy, and consistency, as well as documentation throughout the data lifecycle
  • Work with large volumes of heterogeneous data, transforming them into insights to support decision-making
  • Identify opportunities to optimize workflows and recommend improvements to the existing data infrastructure
  • Build and maintain analytical models (Gold layer) that support dashboards, reports, and data products for business teams

Requirements

What you’ll need
  • Strong knowledge of data engineering tools such as Python and SQL
  • Experience with AI-assisted development tools (Claude Code, Cursor)
  • Experience with layered data platform architecture (Medallion/Lakehouse), including CDC ingestion, batch processing, data catalog, and governance
  • Experience with AWS and Databricks platforms
  • Hands-on experience with data storage systems (FTP, S3, Delta Lake, Unity Catalog)
  • Practical experience maintaining data pipelines in production environments
  • Experience with DuckDB
  • Experience with MCP and Claude Code for automating code review and applying AI governance to data
  • Knowledge of data integration (ETL/ELT) and event-driven architecture (Kafka)
  • Knowledge of data for LLMs/agents
  • Knowledge of data modeling
  • Familiarity with agentic workflows
  • Familiarity with GitOps
  • Nice to have: Experience with observability tools such as Prometheus, Grafana, or AWS CloudWatch
  • Experience with IaC tools (e.g., Terraform, Pulumi, Databricks Asset Bundles)
  • Experience with container orchestration, such as Kubernetes, for data pipelines
  • Experience monitoring data pipelines
  • Experience migrating from batch to streaming
  • Experience working with Fintech

Benefits

Comp & perks
  • We are looking for a Senior Data Engineer who is proactive, communicative, and collaborative, and who works well in a team.
  • We value someone who brings positive energy to the workplace, is willing to share knowledge, and contributes to collective success.

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
PythonSQLClaude CodeCursorMedallion architectureLakehouse architectureAWSDatabricksDuckDBETL