Data Engineer

• Design, build, and maintain scalable, reliable data pipelines within the Google Cloud Platform ecosystem, with a primary focus on BigQuery.
• Develop, manage, and optimize DBT models to transform raw data into clean, validated, and well-documented datasets.
• Write and optimize complex SQL queries for data extraction, transformation, reporting, and analytics.
• Architect and support enterprise-scale data warehousing solutions that prioritize performance, scalability, and reliability.
• Partner closely with data analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions.
• Monitor, troubleshoot, and resolve data pipeline performance issues while ensuring data quality and integrity.
• Automate operational processes and data workflows using Python where appropriate.
• Implement and maintain data governance, security, and compliance best practices.
• Provide technical leadership, mentorship, and guidance to team members and project stakeholders.

We are seeking an experienced Data Engineer with a strong background in Google Cloud Platform (GCP), particularly BigQuery, and expertise in DBT (Data Build Tool) for data transformation and modeling. The ideal candidate will possess advanced SQL skills, a solid understanding of data warehousing principles, and working knowledge of Python for automation and scripting. This role also requires leadership experience and the ability to collaborate effectively across technical and business teams., * Demonstrated leadership experience in data engineering or related technical initiatives.

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
• 6-8 years of experience in Data Engineering or a comparable role.
• Expert-level SQL skills with the ability to develop efficient, scalable, and complex queries.
• Strong proficiency in DBT for data modeling, transformation, testing, and documentation.
• Hands-on experience with BigQuery and other GCP data services.
• Solid understanding of modern data warehousing concepts, architectures, and best practices.
• Basic to intermediate proficiency in Python for scripting, automation, and workflow support.
• Experience with version control systems such as Git.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Pulled from the full job description Health insurance Retirement plan Vision insurance Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $39.86/hour - $62.29/hour. Our offered 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.