CrawlJobs Logo
Parking Network B.V. Logo Parking Network B.V. · IT - Software Development

Google Cloud Data Engineer

United States · Job Posted May 03, 2026
Apply Position
Job Link Share

Job Description

NMI is looking for a passionate Intermediate Software Engineer to join our Gateway Portals team. Gateway Portals is responsible for a suite of partner- and merchant-facing web portals that enable configuration, management, reporting, and support across NMI's payments ecosystem. These portals are a critical touchpoint for our customers and partners, and play a key role in how merchants interact with NMI's platform. As part of a cross-functional Scrum team, you'll help maintain and evolve multiple production portal applications built in PHP, C#, and modern JavaScript frameworks. This role is ideal for someone who enjoys working across different systems, is curious about how things fit together end-to-end, and thrives in a collaborative, agile environment.

Job Responsibility

  • Design, build, and enhance features across multiple Gateway Portal applications used by NMI staff, partners, and merchants
  • Develop and maintain front-end and back-end functionality using technologies such as PHP, C#, JavaScript, React, and Angular
  • Develop and maintain MySQL queries aligned with best practices for performance and scalability
  • Write unit, integration, and end-to-end tests to ensure code quality and reliability
  • Document business logic, application workflows, and technical design decisions
  • Collaborate with Product Managers to refine requirements and contribute to technical solution design
  • Participate in code reviews to maintain high engineering standards and share best practices
  • Work with Site Reliability Engineering and QA teams to ensure software is observable, resilient, secure, and production-ready
  • Diagnose and resolve incidents, defects, and performance bottlenecks in collaboration with cross-functional teams
  • Contribute to continuous improvement of development processes, tooling, and engineering practices

Requirements

  • Bachelor's degree in Computer Science or equivalent experience
  • 3+ years of experience developing complex applications
  • Professional experience developing applications in PHP
  • Strong understanding of object-oriented programming and design patterns
  • Experience with relational databases such as MySQL (schema design, query optimization)
  • Familiarity with secure coding principles and building software with security in mind
  • Experience with Git and CI/CD workflows
  • Experience contributing across the full software development lifecycle
  • Experience with modern frontend development (JavaScript, React, NPM, basic CSS)
  • Ability to work both independently and collaboratively

Nice to have

  • Experience with containerization technologies (Docker, Kubernetes)
  • Experience working with logging and monitoring systems (e.g., Logz.io, Elasticsearch, or similar tools)
  • Understanding of cloud-native or SaaS architectures (scalability, resilience, multitenancy)
  • Experience using agentic AI tooling (e.g., autonomous coding agents, Claude Code)

What we offer

  • Annual salary + bonus
  • A remote first culture
  • Flex PTO
  • Health, Dental and Vision Insurance
  • 13 Paid Holidays
  • Company volunteer days
Parking Network B.V. - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Google Cloud Data Engineer

8 matching positions

Senior Google Cloud Data Engineer

We are seeking a Senior Google Cloud Data Engineer with a strong background in d...
Location
Location
United States , New York City
Salary
Salary:
170000.00 - 240000.00 USD / Year
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Google Cloud Data Engineer

We are seeking a Senior Data Engineer with a strong background in data engineeri...
Location
Location
Canada
Salary
Salary:
90000.00 - 140000.00 CAD / Year
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
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, Dataflow (Apache Beam)
  • Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery
  • Experience with Pub/Sub: event-driven architecture and message queuing
  • Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML
  • Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery
  • Advanced English skills
Job Responsibility
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
What we offer
  • A comprehensive insurance plan
  • Dialogue via Sun Life provides virtual healthcare services
  • Access to the Employee and Family Assistance Program
  • A complete mental health support program
  • A $500 Personal Spending Account
  • A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%
  • Access to a flexible vacation under Valtech's policy
  • Personal Technology Reimbursement – $30/month
  • We close during the winter holidays and offer flexible scheduling throughout the year
  • Fulltime
Read More
Arrow Right

Senior Google Cloud Data Engineer

We are seeking a Senior Data Engineer with a strong background in data engineeri...
Location
Location
Brazil
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Engineer (Google Cloud Platform)

Seeking a Data Engineer (Google Cloud Platform): Rhino, are you there? At WE ARE...
Location
Location
Portugal , Porto
Salary
Salary:
Not provided
wearemeta.io Logo
We Are Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 2 years of experience working with cloud platforms and services for data engineering (preferably GCP)
  • Proficiency in programming languages such as Python, Java, or Scala
  • Hands-on experience with Big Data tools such as Spark, Flink, Kafka, Elasticsearch, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams/Connect, Druid, etc
  • Strong knowledge of data modeling and database design principles
  • Experience with data integration and ETL tools (e.g., Apache Kafka, Talend)
  • Advanced SQL skills and experience with both relational and NoSQL databases
  • Familiarity with other cloud services such as AWS S3 or Azure Data Factory (plus)
  • Experience using version control tools such as Git
  • Fluency in English and Portuguese(B2)
  • Availability for hybrid work in Porto, Portugal
What we offer
What we offer
  • Welcome kit
  • Opportunities for career progression
  • Health insurance
  • Coverflex meal card
  • Other protocols and special discounts
Read More
Arrow Right

Public Cloud Engineer - GCP (Google Cloud Platform)

The Lead Public Cloud Engineer - GCP is responsible for advanced technical suppo...
Location
Location
United States , Plano
Salary
Salary:
68000.00 - 78202.00 USD / Year ▼
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on experience in cloud engineering, operations, or support
  • 3+ years multi-cloud experience (must have hands-on in at least two of the four of GCP/AWS/Azure/OCI
  • familiarity in all is preferred
  • GCP cloud is mandatory)
  • Bachelor’s degree (or equivalent experience) in Computer Science, IT, Engineering, or a related field
  • At least two of the following certifications (or equivalent experience): Google Professional Cloud Architect / Engineer, AWS Certified Solutions Architect / SysOps Administrator, Microsoft Certified: Azure Administrator Associate or Solutions Architect Expert, Oracle Cloud Infrastructure Architect Associate/Professional
  • (Preferred) DevOps or automation certifications (e.g., Kubernetes, Terraform)
  • (Preferred) ITIL Foundation or other support framework knowledge
  • Direct experience in managed services/NOC/SOC/MSP environments is a plus
  • In-depth expertise with provisioning, configuring, securing, supporting, and optimizing cloud-native and hybrid workloads in GCP, AWS, Azure, and/or OCI
Job Responsibility
Job Responsibility
  • Support Customer Self-Provision cloud instances across GCP, AWS, Azure and OCI with security guardrail and backend deployment
  • Monitor, troubleshoot, and resolve incidents, performance issues, and service outages in production and staging environments
  • Implement and maintain monitoring, alerting, and logging solutions to ensure high availability and reliability
  • Lead root cause analysis and post-mortem documentation for major incidents
  • Execute patch management, upgrades, and regular maintenance activities
  • Develop and maintain backup, disaster recovery, and failover strategies and operations
  • Participate in on-call rotation and after-hours support as required
  • Develop and maintain Infrastructure as Code (IaC) templates using tools such as Terraform, CloudFormation, ARM, or OCI Resource Manager
  • Use scripting (e.g., Python, Bash, PowerShell) to automate repetitive tasks and operational processes
  • Champion the use of configuration management tools and assist in DevOps pipeline integrations
What we offer
What we offer
  • medical, dental, and vision insurance
  • flexible spending or health savings account
  • life and AD&D insurance
  • short and long term disability coverage
  • paid time off
  • employee assistance
  • participation in a 401k program with company match
  • additional voluntary or legally-required benefits
  • Fulltime
Read More
Arrow Right

Cloud Engineer (GCP) - Google Public Cloud Engineering

As a Cloud Engineer, you will oversee the design, implementation, and management...
Location
Location
United States
Salary
Salary:
Not provided
sysco.com Logo
Sysco
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive knowledge of GCP infrastructure, services, and Database solutions, including GCP private/internal access technologies, Cloud Storage, GCP BigQuery, Cloud Spanner, Dataflow, Dataproc etc
  • Should have a successful track record in architecting, designing, implementing, and managing systems and infrastructure in a cloud computing environment, including hybrid architectures
  • Bachelor’s degree in Computer Science or appropriate related field is preferred. Equivalent work experience may be substituted for these education requirements
  • 3 years of relevant experience in public cloud administration (Google Cloud Platform)
  • Working experience with native cloud technologies, 3rd party automation tools as such as Jenkins, Terraform, Chef, Cloud Custodian, and automation/scripting via CLI including Python, Bash and Powershell
Job Responsibility
Job Responsibility
  • Lead the implementation of the Google Cloud Platform Data architecture while collaborating with cross-functional teams
  • Design, implement, and manage highly available and scalable cloud infrastructure on the Google Cloud Platform
  • Collaborate with stakeholders and application teams to understand business requirements, translate them into cloud architecture designs, and provide operational support to application teams
  • Develop and maintain cloud data migration strategies, including assessing existing systems, identifying gaps, and recommending remediation and infrastructure implementation plans
  • Ensure the security, availability, and performance of GCP resources through proper design and configuration
  • Implement and optimize cloud-based infrastructure solutions, such as virtual networks, private service access, storage, databases, compute resources, and identity and access management
  • Define and enforce cloud governance policies, including resource tagging, access controls, and cost management
  • Monitor, troubleshoot, and resolve issues related to GCP infrastructure, ensuring high availability and performance
  • Stay up to date with the latest trends and advancements in GCP and cloud computing technologies and provide recommendations for continuous improvement
  • Collaborate with cross-functional teams, including Data architects, developers, network administrators, security specialists, and cloud providers to ensure seamless integration of cloud solutions
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer, Google Cloud, AI Expert

We are seeking a Forward Deployed Engineer (FDE) with deep expertise in Google C...
Location
Location
Canada , Montreal
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
  • 5+ years of software development experience using Python, TypeScript, or comparable languages, with a track record of shipping production-grade code to external or internal customers
  • Hands-on experience architecting and deploying AI systems on Google Cloud Platform (GCP), including: Vertex AI — model deployment, fine-tuning workflows, evaluation, and platform-level observability
  • Gemini models — prompt engineering, structured outputs, function/tool calling, and multimodal use cases
  • BigQuery and Cloud Storage — as data and grounding sources for AI workloads
  • Cloud Run, Cloud Functions, and Pub/Sub — for deploying and orchestrating agentic services
  • Gemini Enterprise Agent Platform — designing, configuring, and deploying enterprise-grade agents, grounding on customer data sources, integrating tools and connectors
  • Demonstrated experience building agentic and AI-driven solutions in production, including: LLM application development — prompt engineering, agent development, and evaluation frameworks
  • RAG architectures — vector databases, chunking strategy, and retrieval evaluation
  • Data pipelines — structured and unstructured data ingestion to power enterprise-grade AI solutions
Job Responsibility
Job Responsibility
  • Embed within customer engineering teams and lead technical discovery sessions with business stakeholders, engineering leadership, and security to translate ambiguous business problems into clear AI architectures and delivery plans
  • Architect, code, and ship production-grade agentic AI solutions on Google Cloud — including multi-agent systems, MCP servers, sub-agents, skills, connectors, agentic wrappers, and safety guardrails — that move customers beyond pilots into measurable business value
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines and grounding architectures, including chunking strategy, vector databases, and embedding optimization to prevent hallucinations and ensure response quality
  • Build the “connective tissue” between Google’s AI products and customer infrastructure, including APIs, legacy data silos, identity, and security perimeters
  • Implement multi-agent patterns such as ReAct, self-reflection, and hierarchical delegation using frameworks like Google’s Agent Development Kit (ADK) or LangGraph
  • Build high-performance evaluation pipelines and observability frameworks for agentic systems, with attention to accuracy, safety, latency, cost-per-request, and tokens-per-second
  • Debug agent logic and optimize tool selection in live, high-traffic environments, including tracing conversation and request IDs across microservices to resolve production failures
  • Co-build with customer engineering teams and act as a hands-on advocate for AI-assisted development, introducing and operationalizing AI coding tools to accelerate delivery and elevate engineering practices
  • Drive a deliberate handoff to the customer’s team, ensuring long-term ownership, documentation, and end-user adoption after the engagement concludes
  • Develop and maintain technical documentation, architecture decision records, and evaluation results across all assigned engagements
What we offer
What we offer
  • Comprehensive insurance plan (Gold, Silver, or Bronze) with employer contribution up to 80%
  • Dialogue via Sun Life virtual healthcare services
  • Employee and Family Assistance Program
  • Complete mental health support program
  • $500 Personal Spending Account
  • Retirement plan with Valtech matching 100% of RRSP contributions up to 4% via DPSP
  • Flexible vacation policy
  • Personal Technology Reimbursement $30/month
  • Winter holiday closure
  • Flexible scheduling
  • Fulltime
Read More
Arrow Right

Cloud Data Engineer

We are seeking a technically skilled Cloud Data Engineer with strong expertise i...
Location
Location
India , Pune
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficient in SQL and PL/SQL, with hands-on experience in GCP BigQuery
  • Experienced in building cloud infrastructure using GCP services
  • Skilled in debugging and resolving issues in cloud-based applications
  • Familiar with data warehousing concepts and large-scale data processing
  • Strong analytical and problem-solving abilities
  • Comfortable working in collaborative, cross-functional teams
Job Responsibility
Job Responsibility
  • Write and debug complex SQL and PL/SQL queries within GCP BigQuery
  • Build and maintain infrastructure using GCP tools such as Google Cloud Functions, App Engine, and Cloud Run
  • Collaborate with data engineers to process and manage large datasets using GCP services including BigQuery and Cloud Storage
  • Apply best practices for performance optimisation, security, and scalability of cloud applications
  • Develop unit tests and maintain documentation to ensure code quality and maintainability
  • Troubleshoot and debug cloud-based applications in production environments
  • Work on cloud-native development projects
  • Apply understanding of both SQL and NoSQL database systems and data processing frameworks
What we offer
What we offer
  • Opportunity to work on cutting-edge cloud technologies and large-scale data projects
  • Exposure to collaborative, cross-functional teams and agile development practices
  • A chance to contribute to high-impact, scalable solutions within a global organisation
Read More
Arrow Right