Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
GCP Data Engineer
About the role
As a GCP Data Engineer, you will make an impact by designing and building scalable data pipelines and platforms on Google Cloud that ingest, transform, and store transportation and logistics data, enabling faster and more reliable operational decision making. You will be a valued member of the Data Engineering team and work collaboratively with cross-functional operations and planning stakeholders.
In this role, you will:
• Design and implement scalable data pipelines on GCP that ingest, transform, and store transportation and logistics data to support analytics and operational reporting across the enterprise.
• Develop efficient and maintainable Python code for data processing, validation, and automation, ensuring reliable end-to-end data workflows and reduced operational overhead.
• Architect and optimize AlloyDB schemas, indexes, and query patterns tailored to transportation and logistics datasets to deliver high-performance transactional and analytical workloads.
• Configure and manage Google Cloud Pub/Sub messaging solutions to support near real-time, event-driven data integration between logistics systems, tracking platforms, and analytical applications.
• Utilize GCP BigQuery to design performant data models, partitioning strategies, and materialized views that enable fast and cost-effective analytics on large-scale transportation data.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Parsippany, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
• 7+ years of experience with Google Cloud Pub/Sub, GCP BigQuery, and Google Cloud Monitoring
• 7+ years of experience with Python programming and optimization techniques
• 5+ years of experience with AlloyDB
• Hands-on experience with GCP services, including Compute Engine
• Understanding of performance testing concepts
These will help you stand out
• Experience implementing observability using Google Cloud Monitoring to track pipeline health, resource utilization, and application metrics
• Background establishing data quality standards, validation rules, and monitoring dashboards for shipment tracking, order management, or inventory visibility
• Experience mentoring peers on GCP best practices and cloud-native data patterns
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
Applications will be accepted until October 16,2026
The annual salary for this position is between $110,000 - $123,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
