Senior Data Engineer (AWS, Python & SQL) | Remote LATAM

Job4Travelers; Boca Raton (FL); Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Access to AI tools

Flexible PTO and paid holidays

Remote-friendly culture and ongoing AI

Job summary

Devsu is seeking a Senior Data Engineer for a fully remote LATAM role, with overlap in US Eastern/Central time zones for collaboration. The position focuses on building scalable data platforms in AWS, using Python, SQL, Spark, and Airflow to support analytics, ecommerce, logistics, and marketing initiatives.

You will design data pipelines, evolve data infrastructure, and mentor other engineers while engaging in architecture discussions with cross-border teams.

Qualifications

• 4+ years of data engineering experience with modern data technologies.
• Strong Python and SQL proficiency.
• Hands-on with Apache Spark and Apache Airflow.
• Experience designing data processing systems in AWS.
• Experience with Redshift and/or Snowflake.
• Knowledge of Fivetran or similar data ingestion tools.
• Strong data quality, automation, and best practices.
• Excellent communication and collaboration.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
• Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
• Architect data processing systems capable of handling complex data flows and large-scale datasets.
• Develop reliable, efficient, and cost-effective data solutions in an AWS environment.
• Ensure high standards of data quality through automation and best engineering practices.
• Optimize platform performance, resiliency, scalability, and operational costs.
• Collaborate closely with software engineers, analysts, and business stakeholders.
• Mentor engineers and analysts on data engineering best practices.
• Participate in architecture discussions and technical decision-making.

Skills

Python

SQL

Apache Spark

Apache Airflow

AWS

Tools

Redshift

Snowflake

Fivetran

Kafka

AWS Kinesis Firehose

Docker

Kubernetes

Ruby

R

Job description

Devsu is seeking a Senior Data Engineer for a fully remote LATAM role, with overlap in US Eastern/Central time zones for collaboration. The position focuses on building scalable data platforms in AWS, using Python, SQL, Spark, and Airflow to support analytics, ecommerce, logistics, and marketing initiatives.

You will design data pipelines, evolve data infrastructure, and mentor other engineers while engaging in architecture discussions with cross-border teams.