Data Engineer

Data Engineer / Data Ops Engineer

Remote (Latin America-based)

Compensation: $3,000–$5,500 USD/month

Full-time, Contractor

Tech Stack: ETL pipelines, data ingestion, transformation, monitoring, alerting, root cause analysis, Alteryx

At Near, we connect top talent in Latin America with exciting remote opportunities at U.S.-based companies. Our mission is to create better lives by fostering a remote work culture that transcends borders.

About the Company:
Our client is an innovative data-focused company helping businesses make better decisions through analytics, reporting, and data products. They are focused on improving how data is built, monitored, and delivered to end users, while strengthening the reliability of their internal data processes.I would like to include of our story so it better aligns with our positioning:"We empower entrepreneurs by transforming their data into actionable intelligence ( prescriptive analytics) enabling them to identify and prioritize the most impactful opportunities for growth.

About the Role:

We’re looking for a Data Engineer / Data Ops Engineer with strong hands-on experience building pipelines from scratch and improving data reliability at scale. This person will help design, build, monitor, and optimize core data workflows, while collaborating with internal stakeholders to ensure data is accurate, accessible, and dependable. This role requires someone proactive, technically strong, and comfortable taking ownership of both execution and problem-solving.

You Will:

Build data pipelines from scratch and improve existing workflows

Design, monitor, and maintain ETL / ELT processes

Set up and improve monitoring and alerting systems for pipeline health

Identify issues quickly and perform root cause analysis to solve data problems effectively

Support data ingestion, transformation, and delivery to end users

Improve reliability, scalability, and operational quality across data workflows

Communicate technical decisions and pipeline architecture clearly to stakeholders

Collaborate with internal teams to improve data processes and support business needs

About You:
Your Background:

Strong experience in data engineering or data ops roles

Proven experience building pipelines from scratch

Strong hands-on experience with monitoring, alerting, and root cause analysis

Experience with data ingestion, transformation, and serving data to end users

Excellent English communication skills in a distributed environment

Spanish is a nice to have / preferred

Self-motivated, proactive, and comfortable taking ownership

Able to work through ambiguity and improve processes with limited guidance

Nice to Have:

Experience with tools such as Alteryx

Experience working with mature or complex data pipeline environments

Experience improving operational processes and data reliability

Exposure to analytics or reporting-heavy environments

Compensation & Benefits:

Compensation: $3,000–$5,500 USD/month

15 days of paid time off per year (vacation, personal time, and sick leave)

U.S. public holidays (typically 10–12 days/year), paid and not deducted from PTO