GCP Data Engineer

• GCP Data Engineer
• Location: Charlotte, NC; Iselin, NJ; San Francisco, CA, or Dallas, TX
• Work Schedule: Hybrid (3 days onsite, 2 days remote)
• Duration: 12-month contract with strong potential for extension and/or conversion
• Authorization: Candidates must be legally authorized to work in the United States without current or future sponsorship.

Our client is seeking a skilled GCP Data Engineer to support the design, development, and optimization of scalable data engineering solutions on Google Cloud Platform (GCP). This role will focus on building modern data pipelines, reusable frameworks, and AI-enablement capabilities that support enterprise data initiatives. The ideal candidate will have a strong data engineering background, hands-on GCP experience, and expertise in developing scalable cloud-based solutions.

What you will be doing:

• Design, develop, and maintain data engineering pipelines on Google Cloud Platform (GCP).
• Build reusable frameworks and components to support scalable data processing and integration.
• Develop and optimize batch and real-time data pipelines using GCP services.
• Manage and optimize BigQuery workloads, ensuring performance efficiency and cost effectiveness.
• Implement data ingestion, transformation, and orchestration solutions across enterprise data platforms.
• Collaborate with engineering and business teams to enable AI-driven development and analytics initiatives.
• Leverage AI-assisted development tools such as GitHub Copilot to improve productivity and delivery speed.
• Support CI/CD implementation and DevOps best practices for data engineering solutions.
• Contribute to cloud modernization efforts and scalable data architecture initiatives.

• Required Qualifications
• 3+ years of hands-on experience working with Google Cloud Platform (GCP).
• Strong background in data engineering with experience building and supporting data platforms and pipelines.
• Proficiency in Python for data engineering and automation.
• Hands-on experience with:
• Cloud Composer
• BigQuery
• Pub/Sub
• Dataflow
• Cloud Functions
• Workflows
• Strong expertise in BigQuery workload management, performance tuning, and cost optimization.
• Experience designing scalable and reusable data engineering frameworks.
• Familiarity with CI/CD practices and tools such as GitHub Actions.
• Strong understanding of enterprise cloud environments and modern data architecture patterns.

• Preferred Qualifications
• Experience with Hadoop or related big data ecosystems.
• Exposure to AI-enabled development practices and tools.
• Experience working within large-scale enterprise environments.
• Knowledge of cloud-native data processing and orchestration frameworks.

• Ideal Candidate
• Our client is seeking a data engineer with a strong foundation in modern GCP technologies, deep Python expertise, and hands-on experience building scalable data pipelines and frameworks. Successful candidates will demonstrate practical experience delivering enterprise-grade cloud solutions and be comfortable leveraging AI-assisted development tools to accelerate delivery within a fast-paced financial services environment.

Benefits

• Medical Insurance – Four plans to choose from for you and your family
• Dental and Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts (FSA)
• Voluntary Life Insurance, Long-Term and Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) Retirement Plan
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Savings Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying; no sponsorship is currently available. Employment is contingent upon successful completion of a pre-employment screening.

Accommodation will be provided throughout the hiring process as required under MRP’s Employment Accommodation Policy. Applicants are encouraged to make accommodation needs known in advance.