GCP Data Engineer

Capgemini; Temple (TX); On-site; USD 67,000 - 104,000; Full time

Benefits offered by this job

Medical, dental, vision and retirement

Job summary

Tundra Technical Solutions is seeking a data engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.

You will build and optimize data integrations from multiple sources, manage data models, data warehouses, and data lakes, and implement DataOps practices including CI/CD and orchestration, working with Azure and/or GCP. Collaboration with analysts and stakeholders is essential.

Qualifications

• 3-5 years of progressive experience in data engineering, data integration, or related technical roles.
• Strong experience with SQL, Python, and modern data engineering frameworks and tools.
• Experience developing and maintaining large-scale data pipelines and data integration solutions.
• Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.
• Experience with cloud data platforms and services in Azure and/or GCP.
• Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.
• Build and optimize data integrations from multiple internal and external sources, ensuring data quality and reliability.
• Develop and manage data models, data warehouses, and data lakes to support reporting and analytics.
• Implement data engineering best practices including automation, monitoring, and performance optimization.
• Work with cloud-based data platforms in Azure and/or GCP environments.
• Support DataOps practices, including CI/CD pipelines, and infrastructure automation.
• Partner with data analysts, data scientists, business stakeholders, and application teams to deliver scalable data solutions.
• Troubleshoot and resolve data issues while ensuring governance and security standards.
• Document processes, architectures, and solutions to support maintainability.

Skills

SQL

Python

Data pipelines

CI/CD

Workflow orchestration

Job description

Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.

Build and optimize data integrations from multiple internal and external sources, ensuring data quality, integrity, and reliability.

Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads.

Implement data engineering best practices, including automation, monitoring, testing, and performance optimization.

Work with cloud-based data platforms and services in Azure and/or GCP environments.

Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.

Partner with data analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.

Troubleshoot and resolve data issues while ensuring compliance with data governance and security standards.

Document processes, architectures, and technical solutions to support maintainability and knowledge sharing.

3-5 years of progressive experience in data engineering, data integration, or related technical roles.

Strong experience with SQL, Python, and modern data engineering frameworks and tools.

Experience developing and maintaining large-scale data pipelines and data integration solutions.

Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.

Experience with cloud data platforms and services in Azure and/or GCP.

Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.

Experience working with big data technologies, distributed processing frameworks, or cloud-native data architectures is preferred.

Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.

Excellent communication and collaboration skills with both technical and non-technical stakeholders.

The pay range that the employer in good faith reasonably expects to pay for this position is $48.54/hour - $75.85/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.