# Senior Data Engineer

**Company:** [Teachable](https://hotfix.jobs/companies/teachable)
**Location:** Remote
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** AWS, Data Lakes, Lakehouse, ETL, ELT, Apache Airflow, Terraform, Kafka, Amazon Kinesis, Spark, dbt, Aws Iam, Amazon Sqs, Amazon Sns, Aws Dms
**Posted:** 2026-08-31

> Senior data engineer who will set architecture standards, lead large-scale pipeline initiatives, and build reliable cloud-native data platforms on AWS. The role requires expertise in orchestration, batch and streaming systems, infrastructure as code, and modern data architectures.

## Job Description

## Responsibilities
- Serve as a senior technical reference for data engineering, establishing data modeling and data pipeline architecture standards and best practices.
- Lead high-impact data engineering initiatives across multiple domains.
- Partner with Product, Finance, Engineering, and business teams to translate strategic needs into reliable, scalable data solutions.
- Evaluate build-versus-buy decisions for product analytics and data infrastructure.
- Manage technical debt while maintaining scalability, reliability, and maintainability.

## Requirements
- Proven experience as a senior data engineer owning large-scale data pipelines and complex data architectures.
- Strong technical judgment, problem-solving skills, attention to detail, and process-improvement mindset.
- Understanding of modern data engineering practices, including data lakes, lakehouse architectures, and ETL/ELT.
- Experience designing and operating cloud-native data platforms on AWS, including orchestration, storage, compute, and IAM.
- Strong experience with orchestration and workflow tools such as Airflow.
- Working knowledge of infrastructure-as-code principles and tools such as Terraform.
- Experience building and operating batch and streaming data systems, including trade-offs between them.
- Strong communication and collaboration skills in a distributed, international environment.

## Nice to Have
- DBT and metadata/catalog tools.
- DMS, AppFlow, SQS, and SNS.
- Data Mesh and domain-driven data architecture patterns.
- Experience delivering production-grade software systems.
- Kafka, Kinesis, and Spark Streaming.

## Compensation and Benefits
- Compensation is paid in BRL under a CLT employment arrangement.
- Remote-first culture with in-person team events throughout the year.

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**Apply:** https://hotfix.jobs/jobs/63c53d23-482d-4a8a-82d0-64835d875c5f
**Canonical:** https://hotfix.jobs/jobs/63c53d23-482d-4a8a-82d0-64835d875c5f