Data Engineer
Posted 30 Sep 2026
Advertised as “Senior Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Job Title: Senior Data Engineer
Key Skills: Snowflake, T-SQL Python, Terraform, AWS, Docker.
Location: Brazil
Mode: Remote
We are seeking a Senior Data Engineer with strong expertise in Python to design, build, and enhance our data platform utilizing AWS and Snowflake. As a technical reference within the team, you will contribute to architectural decisions while ensuring data quality, reliability, and governance. This role involves developing production-grade Python solutions, including integrations with external APIs and SDKs, as well as custom logic for data pipeline orchestration.
Key Responsibilities
- Design and maintain scalable data pipelines using Airflow (MWAA).
- Develop production-grade Python code for API/SDK integrations, data processing, and custom pipeline orchestration.
- Model and evolve the Snowflake Data Warehouse and build transformations with dbt.
- Define architecture, development standards, and best practices.
- Manage infrastructure as code with Terraform.
- Ensure data quality, monitoring, and reliability using Grafana, CloudWatch, and automated testing.
- Implement data governance practices, including cataloging, lineage, and access control.
- Optimize cost and performance across Snowflake, AWS, and Spark.
- Build and maintain CI/CD processes for data pipelines and models.
Required Skills & Qualifications
- Solid experience as a Data Engineer in production environments.
- Advanced Python (version 3.x), including production applications, external APIs/SDKs, error handling, testing, and maintainable code.
- Advanced T-SQL, including query tuning.
- Experience with Snowflake and dbt.
- Proficiency in AWS, especially S3, Lambda, EMR, and ECS.
- Experience with Terraform or equivalent IaC tools.
- Familiarity with Docker, CD practices.
- Knowledge of DATA MODELING and Data Governance.
- Experience with monitoring and Observability tools.
Preferred Skills
- Experience with APACHE SPARK / PY-SPARK.
- Familiarity with Agentic AI, LLMs, and AWS Bedrock.
- Knowledge of additional AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.
- Experience with InfluxDB and OpenSearch.