Remote Senior Data Engineer: Snowflake & Data Quality

Nearshore Business Solutions; Bogotá; Remote; COP 345,781,000 - 502,955,000; Full time

Job summary

Nearshore Business Solutions seeks a Senior Data Engineer (6+ years) to design and maintain Snowflake-based data pipelines, optimize performance and costs, and implement data quality checks. This role is remote (Latin America) with ability to align with U.S.

time zones and collaborate with distributed teams. You will build evaluation pipelines to compare new datasets with revenue reports, implement MAE and correlation metrics, and ensure production readiness of data solutions across large-scale

Qualifications

• 6+ years of professional experience in Data Engineering.
• Snowflake as a primary data platform and optimization in production environments.
• Strong SQL and Python skills for end-to-end pipelines.
• Experience processing very large datasets with full transaction histories.
• Practical data quality engineering including validation, reconciliation, monitoring.
• Ability to work within U.S. time zones with distributed teams.

Responsibilities

• Build Snowflake-based evaluation pipelines to measure accuracy of new datasets.
• Implement statistical evaluation metrics (e.g., correlation, MAE) for revenue comparisons.
• Optimize Snowflake performance and costs via warehouse sizing and query optimization.
• Develop automated processes to collect, map, validate, and maintain revenue data ground truth.
• Implement data quality checks and reconciliation rules for reliable reporting.
• Investigate data quality issues and scale pipelines for large-scale histories.
• Own end-to-end data engineering lifecycle and adapt solutions to evolving requirements.

Skills

SQL

Python

Data pipelines

Data quality

Production troubleshooting

Tools

Snowflake

dbt

Job description

Nearshore Business Solutions seeks a Senior Data Engineer (6+ years) to design and maintain Snowflake-based data pipelines, optimize performance and costs, and implement data quality checks. This role is remote (Latin America) with ability to align with U.S.

time zones and collaborate with distributed teams. You will build evaluation pipelines to compare new datasets with revenue reports, implement MAE and correlation metrics, and ensure production readiness of data solutions across large-scale