Senior Google Cloud Data Engineer
Valtech - New York City
Posted Jan 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Google Cloud Data Engineer New York City Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The role We are seeking a Senior Google Cloud Data Engineer with a strong background in data engineering and a hands-on approach to driving projects independently from start to finish. This role requires someone who thrives in a proactive environment and can deliver impactful solutions in cybersecurity analytics and anomaly detection. The ideal candidate will have experience in developing dashboards and insights to detect and visualize security threats, including executive-level dashboards. Comfort with Looker Core, BigQuery, SQL, and Python is essential, along with familiarity in Machine Learning for anomaly detection, alerting mechanisms, and data manipulation. This position is onsite in Greater New York City area 3 days per week, and remote 2 days per week. Role responsibilities - Drive projects independently, ensuring timely delivery and high-quality outcomes. - Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential security threats. - Develop dashboards and visuals for operational and executive use, leveraging Looker Core and BigQuery. - Implement alerting systems to proactively detect anomalies and security issues. - Design and implement data ingestion and transformation pipelines leveraging Google Cloud Dataflow / Apache Beam and BigQuery for analytics and large-scale querying. - Implement Machine Learning models (specifically leveraging BigQuery ML
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