Senior Data Platform Engineer — Remote LATAM

TeamStation Artificial Intelligence, LLC.; United States; Remoto; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote-first culture

Remote work across Latin America

Descrizione del lavoro

TeamStation AI is seeking a Sr Data Infrastructure Engineer for a 100% remote role focused on Latin America. You’ll redesign data workloads, separating transactional and analytical paths, and build secure, observable data pipelines across multi-tenant environments.

You’ll work with Python, SQL, Kafka, Debezium, AWS DMS, Redshift, and Spark to deliver real-time and batch data flows while balancing cost, performance, and reliability in a remote-first team aligned to US Central Time.

Competenze

• 5+ years in data engineering, platform engineering, or infrastructure roles at scale.
• Deep fluency in Python, with strong command of SQL and distributed data systems.
• Proven experience building CDC pipelines and stream-based architectures with Kafka, Debezium, or AWS DMS.
• Familiarity with designing and managing data lakes or warehouses using S3 + Athena or Redshift.
• Track record of building and evolving multi-tenant data systems that maintain performance, isolation, and delivery guarantees.
• Strong knowledge of data security, encryption, access control, and compliance practices.
• Ability to implement and maintain observability systems that catch issues before users do.
• Clear communicator who thrives in remote-first, async teams.
• Must be based in Latin America and able to align with a US Central Time team schedule.

Mansioni

• Design and implement separation of transactional and analytical workloads using Change Data Capture.
• Build secure pipelines with encryption, access controls, and data anonymization.
• Create batch and real-time streaming pipelines supporting schema evolution and multi-tenant scaling.
• Build async data delivery systems using webhooks, SQS, and Kinesis—no polling.
• Integrate into third-party APIs and internal services in an event-driven architecture.
• Balance cost, performance, latency, and flexibility with smart trade-offs.
• Implement observability: logging, metrics, and alerting for pipeline health and anomaly detection.

Conoscenze

Python

SQL

CDC pipelines

Kafka

Debezium

AWS DMS

Data lakes/warehouses

Security/compliance

Observability

Remote communication

Strumenti

Kafka

Debezium

AWS DMS

S3

Athena

Redshift

Glue

Spark

Terraform

Lambda

Step Functions

Prometheus

Grafana

CloudWatch

Descrizione del lavoro

TeamStation AI is seeking a Sr Data Infrastructure Engineer for a 100% remote role focused on Latin America. You’ll redesign data workloads, separating transactional and analytical paths, and build secure, observable data pipelines across multi-tenant environments.

You’ll work with Python, SQL, Kafka, Debezium, AWS DMS, Redshift, and Spark to deliver real-time and batch data flows while balancing cost, performance, and reliability in a remote-first team aligned to US Central Time.