Remote Data Engineer — AWS & Data Pipelines (LATAM)

Logoslabs; San Francisco (CA); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Generous paid-time-off

Remote work option

Continuing education and certificates

Job summary

Bluelight Consulting is seeking a Data Engineer to design, build, and maintain data pipelines across AWS services, various databases, and BI tools. You will work with analytics and engineering teams to ensure scalable, high-quality data solutions.

Key responsibilities include data modeling, data quality monitoring, and collaboration to drive data-driven decision-making. Remote-friendly with growth opportunities in a collaborative environment.

Qualifications

• BS or MS degree in CS or related technical field.
• 3+ years of Data Pipeline development experience.
• 3+ years of SQL experience.
• Experience with data integration and data warehouse design.

Responsibilities

• Develop and maintain data models for core package application and reporting databases.
• Monitoring execution and performance of daily pipelines, triage and elevate issues.
• Collaborates with analytics and business teams to improve data models and data pipelines.
• Implements processes to monitor data quality and availability for stakeholders.
• Writes unit/integration tests and documents work.

Skills

AWS services

Data integration

SQL & databases

ETL / data pipelines

Agile methodologies

Problem solving

Communication skills

Data governance

Education

BS or MS in Computer Science

Tools

Pentaho Kettle

Informatica PowerCenter

Talend OpenStudio

Jitterbit

GoodData

Tableau

Power BI

Git

SQL Server

Redshift

Job description

Bluelight Consulting is seeking a Data Engineer to design, build, and maintain data pipelines across AWS services, various databases, and BI tools. You will work with analytics and engineering teams to ensure scalable, high-quality data solutions.

Key responsibilities include data modeling, data quality monitoring, and collaboration to drive data-driven decision-making. Remote-friendly with growth opportunities in a collaborative environment.