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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications: - Bachelor's degree in Engineering, a related quantitative field, or equivalent practical experience.
- 8 years of experience in data engineering, building and maintaining production-grade ETL/ELT pipelines.
- 5 years of experience with SQL including window functions, query, and data modeling.
- 3 years of experience with programming languages such as Python, Java, or Scala, along with experience with BigQuery and dashboarding tools for analysis insight.
Preferred qualifications: - Master's degree in Computer Science or a relevant engineering discipline.
- Advanced experience architecting solutions in cloud environments like Google Cloud.
- Experience with AI tools and large-scale data governance frameworks for security and compliance.
- Proficiency with workflow orchestrators like Apache Airflow and modern transformation tools like dbt.
- Strong understanding of DevOps practices including Git, Docker, Kubernetes, and automated CI/CD pipelines.
About the jobA problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $279000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Design, build, and optimize automated workflows for construction technology and AEC software utilization in Data center Design and construction, and build ETL and ELT pipelines to move data from various source systems into centralized cloud repositories.
- Architect and maintain high-performance cloud data warehouses and lake houses, ensuring efficient database schema design and cost-effective storage.
- Implement digital delivery strategy for faster and efficient data center build, and develop data quality frameworks, automated validation checks, and strict security controls to ensure data trustworthiness and regulatory compliance.
- Manage complex data dependencies using workflow orchestration tools like Apache Airflow, deploy proactive system monitoring and alerting, and collaborate with Data Analysts and Scientists to build pre-aggregated data models and feature stores that accelerate business intelligence and model deployment.
