Senior Google Cloud Data Engineer Job at Valtech

Senior Google Cloud Data Engineer

We are seeking a Senior Google Cloud Data Engineer with a strong background in d...

Location

United States , New York City

Salary:

170000.00 - 240000.00 USD / Year

Valtech

Expiration Date

Until further notice

Requirements

Candidates must be legally authorized to work in the United States and must hold either U.S. citizenship or lawful permanent resident (Green Card) status.
Strong expertise in Python - for building data pipelines, processing tasks, and automation
SQL - Advanced SQL capabilities (nested fields, analytic functions)
Hands-on experience with Core GCP Data Stack: BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery ML (BQML) for implementing logistic regression or k-means clustering on data in-place
Dataflow (Apache Beam): Strong proficiency in writing data pipelines (Python or Java) handling windowing, watermarks, and triggers for streaming data
Pub/Sub: Experience with event-driven architecture and message queuing
Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax
Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization
Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (real-time threat monitoring) and Executives (risk posture and compliance reporting
Familiarity with Alerting Frameworks

Job Responsibility

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 or Vertex AI) to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic
Build fault-tolerant, self-healing, adaptive, and highly accurate streaming and batch data pipelines on GCP
Perform data manipulation and analysis to support threat detection and reporting
Collaborate closely with cross-functional teams to ensure data quality, availability, and reliability across cloud environments
Develop and maintain technical documentation for all assigned systems and projects

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior Google Cloud Data Engineer

We are seeking a Senior Data Engineer with a strong background in data engineeri...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong expertise in Python for building data pipelines, processing tasks, and automation
Advanced SQL capabilities (nested fields, analytic functions)
Hands-on experience with Core GCP Data Stack: BigQuery (expert-level SQL, performance tuning, partitioning and clustering strategy, production-grade curated marts and feature tables, working knowledge of BQML)
Dataflow (Apache Beam)
Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns
Pub/Sub: Experience with event-driven architecture and message queuing
Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML (derived tables, explores, Liquid syntax)
Semantic Modeling: Develop robust LookML models
Dashboard Creation: Design intuitive dashboards in Looker for operational teams and executives
Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery

Job Responsibility

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
Provide consultation and lead the implementation of complex programs
Develop and maintain documentation relating to all assigned systems and projects
Tune queries running over billions of rows of data running in a distributed query engine
Perform root cause analysis to identify permanent resolutions to software or business process issues
Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts
Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs
Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy
Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation

What we offer

Growth opportunities
A values-driven culture
International careers
The chance to shape the future of experience
An environment designed for continuous learning, meaningful impact, and professional growth
A workplace culture that fosters creativity, diversity and autonomy
A borderless, global framework, which enables seamless collaboration

Senior Google Cloud Engineer

Valtech is looking to hire a Senior Google Cloud Engineer to join our growing ca...

Location

United States , New York City

Salary:

170000.00 - 240000.00 USD / Year

Valtech

Expiration Date

Until further notice

Requirements

Candidates must be legally authorized to work in the United States and must hold either U.S. citizenship or lawful permanent resident (Green Card) status
Google Professional Cloud Architect certification
Proficiency in code development and scripting in Python
Experience with Infrastructure-as-Code tools (e.g., Terraform, Deployment Manager) for automated provisioning and configuration
Experience with Pub/Sub and Data ingestion
Strong understanding of cloud networking, security, and IAM best practices
Proficiency in Google Cloud services such as GKE (Kubernetes), Cloud Functions, Cloud Run, and Cloud SQL
Familiarity with CI/CD pipelines, Google Cloud Build and DevOps practices for cloud deployments
Experience in implementing monitoring, logging, and alerting using Google Cloud Monitoring and Logging
Cybersecurity fundamentals

Job Responsibility

Design, implement, and manage Google Cloud infrastructure components, including Compute Engine, Cloud Storage, VPC networking, IAM, and security configurations
Architect and optimize cloud environments for scalability, reliability, and cost efficiency
Build and maintain cloud-native solutions leveraging GCP services such as BigQuery, Pub/Sub, Cloud Functions, and Cloud Run
Develop automation scripts and Infrastructure-as-Code using tools like Terraform and Python to streamline deployments and configuration management
Integrate DevOps practices for continuous delivery, monitoring, and operational excellence across cloud environments
Implement monitoring, logging, and alerting systems using Google Cloud Monitoring and Logging to ensure high availability and proactive issue resolution
Conduct root-cause analysis for cloud-related incidents and performance issues, ensuring timely remediation and prevention strategies
Collaborate with stakeholders to gather requirements and design pragmatic, secure, and scalable cloud solutions
Ensure compliance and security best practices across all cloud deployments, including identity management and data protection
Manage project timelines, dependencies, and risks while delivering high-quality cloud solutions

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior Data Engineer, Big Data

This role is essential for designing and developing data architectures across on...

Location

United States , New York; Philadelphia

Salary:

105100.00 - 189600.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
4-7 years Developing cloud solutions using data series
experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud)
4-7 years Hands-on development using and migrating data to cloud platforms
4-7 years Experience in SQL, NoSQL, and/or relational database design and development
4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Mentor team members to build and enhance their data engineering skillsets and professional growth
Assist management in project definition, including estimating, planning, and scoping work to meet objectives
Also responsible for other duties/projects as assigned by business management as needed

What we offer

annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical insurance
dental insurance
vision insurance
flexible spending account
paid time off
up to 12 paid holidays

Fulltime

Senior Cloud Engineer – AV Cloud Engineering

We are hiring a Senior Cloud Engineer to join the AV Cloud Engineering team with...

Location

United States , Austin, Texas; Sunnyvale, California

Salary:

170000.00 - 230000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc.
Hands-on experience implementing high-availability systems and managing the lifecycle of production-grade clusters
Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform
Ability to operate independently in an ambiguous environment and translate high-level requirements into clear technical tasks
A "Growth-based Mindset" with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching
Professional experience managing the trade-offs between hardware-level performance (GPU passthrough) and clean cloud abstractions

Job Responsibility

Architectural Execution: Implement and manage the lifecycle of Kubernetes (GKE) clusters across hybrid and multi-cloud environments, ensuring production safety through automated patching and upgrades
Platform Implementation: Develop and maintain self-service PaaS features that abstract infrastructure complexity, providing reliable and performant access to specialized hardware like GPUs
Connectivity & Traffic: Implement and optimize high-throughput ingress patterns and service mesh (Istio) configurations to support distributed AV data and ML workloads
Project Independence: Take ownership of complex cloud initiatives from design through deployment, identifying technical gaps and proactively implementing robust solutions
Operational Excellence: Eliminate "human duct tape" by replacing manual cloud-management tasks with declarative state-enforcement (Terraform/GitOps) and custom automation
Reliability & Observability: Define and monitor SLIs/SLOs for cloud services, ensuring the platform meets the availability targets required for Super Cruise validation
Peer Mentorship: Proactively share technical lessons learned and participate in rigorous code and architecture reviews to support a healthy, high-trust engineering culture

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Data Engineer

We are seeking a highly accomplished and innovative Senior Data Engineer for an ...

Location

Canada , North York

Salary:

44.11 - 50.41 USD / Hour

Randstad

Expiration Date

August 09, 2026

Requirements

7+ years of progressive, hands-on experience in data engineering, big data analytics, or a closely related quantitative field
Extensive experience administering cloud data services, with a strong, dedicated focus on Google Cloud Platform (GCP) environments
High proficiency in SQL and Python, paired with experience in one or more big data technologies (such as Google BigQuery, Redshift, or Snowflake)
Demonstrated success building and maintaining complex ETL/ELT pipelines, designing stored procedures, and optimizing complex queries for large-scale datasets
Practical familiarity with advanced data processing frameworks and architectures, including Dataflow, Pub/Sub, PySpark, Airflow, and open table formats (such as Iceberg or StarRocks)
Hands-on exposure to machine learning platforms (such as Vertex AI) or applied AI/ML pipelines is highly preferred
Solid understanding of operational workflows within the retail domain, along with beneficial familiarity handling clickstream data applications
Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related technical and quantitative discipline
Relevant industry certifications are highly beneficial (e.g., Google Professional Data Engineer, AWS Certified Big Data – Specialty, Microsoft Certified: Azure Data Engineer Associate)
Familiarity with structured IT frameworks, such as holding an ITIL Foundation asset designation

Job Responsibility

Design, develop, and maintain scalable data pipelines and robust ETL processes for both structured and unstructured datasets
Build and optimize relational tables and views explicitly structured for enterprise dashboards and self-service analytics platforms
Collaborate closely with business teams and data analysts to gather operational requirements and translate them into efficient data transformations
Partner with cross-functional business units, data scientists, and technology stakeholders to deploy reliable, unified data solutions
Enforce strict data quality, governance frameworks, and operational performance tuning across large-scale data repositories
Leverage Google BigQuery, Python, and advanced storage procedures to build automated, highly optimized data solutions
Streamline ingestion and transformation workflows, implementing automation strategies to maximize data integrity across user touchpoints
Collect, aggregate, and prepare large-scale datasets to feed executive reporting tools, interactive dashboards, and operational scorecards
Provide clean data extractions and actionable insights to internal teams, responding promptly to critical ad-hoc analysis requests
Identify process efficiencies, resolve data bottlenecks, and proactively adopt modern data engineering tools, frameworks, and table formats

What we offer

Massive Data Scale: Design pipelines and optimize query frameworks processing billions of rows of transactional data
Modern GCP Stack: Deepen your technical footprint utilizing Google BigQuery, GCP Dataflow, Airflow, Pub/Sub, and Vertex AI
Hybrid Flexibility: Enjoy an excellent work-life balance through a hybrid model requiring minimal office visits
Strategic Business Impact: Move beyond basic reporting by building data lake and warehouse models that directly shape short- and long-term organizational strategies

Senior Cloud Engineer

The Senior Cloud Engineer designs, builds, and optimizes cloud‑native applicatio...

Location

United States , Wilton

Salary:

Not provided

ASML

Expiration Date

Until further notice

Requirements

5+ years supporting large-scale software or cloud environments
Expertise with Google Cloud Platform (Compute, IAM, Networking, GCS, Cloud Build, GKE, AI Platform)
Experience with Azure and hybrid cloud architectures
Strong background in Linux (RHEL/CentOS)
Networking (TCP/IP, UDP)
CI/CD pipelines and DevOps tools
Version control (Git/SVN)
Application lifecycle tools (Jira, Confluence, Bitbucket)
VM and storage management (NFS, SMB, ZFS, NAS)
VMware and enterprise hardware environments

Job Responsibility

Architect, deploy, and maintain GCP-based platforms, integrating AI/ML services, data pipelines, and automated infrastructure
Build and support cloud-native applications, including installation, patching, performance tuning, and systems hardening
Implement monitoring, observability, and logging using tools such as Splunk and native GCP services
Troubleshoot complex distributed systems using diagnostic tools and structured problem analysis
Serve as Tier 1 / Tier 2 escalation for cloud and platform issues, ensuring fast resolution and clear communication
Drive CI/CD automation, Git-based workflows, and cloud release management
Propose and implement improvements to system performance, reliability, cloud cost efficiency, and developer experience
Ensure compliance with IT standards, security policies, and service-level requirements
Support engineering use cases by provisioning environments, automating workflows, and optimizing cloud resource utilization

What we offer

Flexible workplace arrangement (up to two days a week remote)

Fulltime

New

Senior Cloud Engineer

We're looking for an experienced Cloud Engineer to join the Cloud Team at Superc...

Location

Finland , Helsinki

Salary:

Not provided

Supercell

Expiration Date

Until further notice

Requirements

Strong cloud computing and networking knowledge, with deep experience from at least one major cloud provider (e.g. AWS, Google Cloud)
Deep technical mastery across intersecting systems
Solid grounding in cloud security and the common threat patterns in modern cloud environments
Hands-on experience with Terraform and GitHub Actions
Strong scripting and programming experience used to automate tasks and build custom tooling
Experience with cloud identity and access management, including IAM policies, roles, and permission boundaries across AWS and GCP
Experience with application level identity, such as SSO, OIDC, and identity providers like Okta
Familiarity with Internal Developer Platforms, including AI-assisted development tools, and a clear-eyed view of their security implications
A track record of influence beyond your own work: mentoring engineers, leading architectural reviews, and setting technical standards
High autonomy

Job Responsibility

Build golden paths
Automate high-risk operations into self-service
Own governance and security guardrails
Enable safe AI-assisted development
Write opinionated docs for humans and agents
Raise Supercell's game
Support FinOps
Be a trusted partner to technical teams

What we offer

Relocation support

Fulltime

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Senior Google Cloud Data Engineer

Job Description

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Requirements

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