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# Latam Data Engineer

- **Company:** MatchPoint Solutions
- **Location:** Maryland Heights, MO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $96,000.0 - $163,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, BigQuery, Data Governance, Data Integration, Data Integrity, Data Visualization, Data Flow Control, Monitoring of Systems, Python (Programming Language), NumPy, Performance Tuning, Power BI, Tensorflow, Standard Sql, SQL Databases, Tableau (Software), Workflow Management Systems, Scripting, Google Cloud, Cloud Monitoring, Grafana, Reliability of Systems, Pandas, Information Technology, Data Management, Looker Analytics, Data Pipelines
- **Published:** July 15, 2026
- **Apply:** https://www.careerjet.com/jobad/us22d42f3df02d17e1afc9595539b89e7d

## About the Role

* Strong organizational skills with a proactive mindset and strong sense of ownership
 * Experience supporting data pipelines, systems reliability, and production environments
 * Proficiency in Python and related libraries such as Pandas, Numpy, and machine learning frameworks
 * Experience with SQL and scripting for data analysis and automation
 * Hands on experience with cloud platforms, especially Google Cloud Platform
 * Familiarity with tools such as BigQuery and Dataflow
 * Experience with monitoring tools such as Grafana and cloud monitoring platforms
 * Knowledge of business intelligence tools such as Looker, Power BI, or Tableau
 * Experience with industrial data platforms and API data integration preferred
 * Bachelor's degree in Engineering, Computer Science, or related field

Tools and Technologies:

 * Python and SQL
 * Google Cloud Platform including BigQuery and Dataflow
 * Monitoring tools such as Grafana and Cloud Monitoring
 * Data visualization tools such as Looker, Power BI, Tableau
 * Data integration and industrial data tools
 * Automation and workflow tools

## Description

The Data Engineer will support a smart manufacturing solutions team focused on improving the resilience and operational stability of data pipelines from factory systems to cloud environments. This role is responsible for developing analytics, dashboards, and monitoring capabilities that enable rapid identification and resolution of pipeline issues while improving overall system performance and reliability.
Responsibilities:

 * Design, develop, and integrate production support technologies and systems to improve data pipeline reliability
 * Proactively identify vulnerabilities and implement process oriented solutions that strengthen pipeline resilience
 * Develop and apply advanced analytics for monitoring, anomaly detection, and performance optimization
 * Conduct detailed analysis of pipeline performance, incidents, and root causes to drive continuous improvement
 * Build and maintain dashboards and reports with key performance indicators to measure system and pipeline health
 * Collaborate with global teams across IT, operations, and engineering to troubleshoot and resolve data issues
 * Prepare technical documentation, reports, and presentations related to system performance and enhancements
 * Maintain accurate documentation for systems, processes, and troubleshooting procedures
 * Support data governance efforts with focus on data quality and data integrity


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