GCP Data Engineer - LATAM

Insight Global; Florida; On-site; USD 110,000 - 160,000; Full time

Job summary

Insight Global is seeking a GCP Data Engineer for a top enterprise client, focusing on scalable data integration pipelines using GCP, Python, SQL, BigQuery and DBT. You will transform large datasets into trusted data products and support reporting environments, operational processes, and data governance initiatives.

The role emphasizes designing automated pipelines, data modeling, and ensuring data quality across enterprise systems, with production deployment and monitoring support as part of

Qualifications

• Three or more years of data integration, data engineering, or ETL/ELT experience.
• Hands-on experience with Google Cloud Platform, or comparable cloud-based data platforms.
• Experience designing, developing, and automating ETL/ELT data pipelines.
• Experience integrating new data sources into enterprise data models, data warehouses, reporting environments, and operational systems.
• Experience working with large, complex enterprise datasets.
• Working knowledge of BigQuery.
• Working knowledge of DBT.
• Understanding of data modeling and data warehousing concepts.
• Experience analyzing source data and creating mapping specifications.
• Strong knowledge of data-quality validation, accuracy, completeness, and consistency practices.
• Experience troubleshooting data-integration failures, processing issues, and performance bottlenecks.
• Experience with additional GCP services, including Cloud Storage and Dataflow.
• Familiarity with Google Gemini or other AI-assisted development tools.
• Experience using AI tools to accelerate development and improve solution quality.
• Experience integrating large-volume structured and unstructured datasets.
• Knowledge of enterprise data governance, metadata management, and data lineage.
• Experience supporting cloud-modernization or data-platform enhancement initiatives.
• Experience in large-scale enterprise data environments.
• Three or more years of data integration, data engineering, or ETL/ELT experience.
• Experience supporting production deployments, monitoring, incident resolution, and operational activities.

Skills

GCP

Python

SQL

ETL/ELT pipelines

BigQuery

DBT

Data modeling

Data warehousing

Data governance

Data lineage

Data quality

Data integration

Cloud Storage

Dataflow

AI-assisted tools

Unstructured data handling

Enterprise data environments

Production deployments

Tools

BigQuery

DBT

Dataflow

Cloud Storage

Job description

Job Description

Insight Global is seeking a GCP Data Engineer for a top enterprise client supporting a high-priority data-transformation initiative. This consultant will design and develop scalable data-integration solutions that bring new data assets into established enterprise structures, reporting environments, and operational processes. The role will use GCP, Python, SQL, BigQuery, and DBT to build automated pipelines and transform large, complex datasets into accurate and trusted data products.

Skills and Requirements

• Hands-on experience with Google Cloud Platform, or comparable cloud-based data platforms
• Strong Python and SQL development skills
• Experience designing, developing, and automating ETL/ELT data pipelines
• Experience integrating new data sources into enterprise data models, data warehouses, reporting environments, and operational systems
• Experience working with large, complex enterprise datasets
• Working knowledge of BigQuery
• Working knowledge of DBT
• Understanding of data modeling and data warehousing concepts
• Experience analyzing source data and creating mapping specifications
• Strong knowledge of data-quality validation, accuracy, completeness, and consistency practices
• Experience troubleshooting data-integration failures, processing issues, and performance bottlenecks
• Experience with additional GCP services, including Cloud Storage and Dataflow
• Familiarity with Google Gemini or other AI-assisted development tools
• Experience using AI tools to accelerate development and improve solution quality
• Experience integrating large-volume structured and unstructured datasets
• Knowledge of enterprise data governance, metadata management, and data lineage
• Experience supporting cloud-modernization or data-platform enhancement initiatives
• Experience in large-scale enterprise data environments
• Three or more years of data integration, data engineering, or ETL/ELT experience
• Experience supporting production deployments, monitoring, incident resolution, and operational activities

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].