Position:Data Engineer, Google Cloud Platform
Location:Virginia, USA (Remote - candidates must be in EST or CST)
Length:6+ months
*Candidates must be a United States Citizen or United States Permanent Resident
Job Description:
Our client is seeking an experienced and highly skilled Data Engineer to join their team and support the design, implementation, and maintenance of robust data pipelines and infrastructure within a cloud environment. The ideal candidate will possess expertise in Google Cloud Platform (GCP) technologies, including BigQuery, BigLake, and Gemini, to enable advanced analytics and business intelligence. You will play a crucial role in managing large datasets, optimizing data workflows, and utilizing cloud tools to deliver impactful insights that support business decision-making.
Essential Duties and Responsibilities (but not limited to):
- Design and implement scalable, efficient data architectures and manage ETL/ELT pipelines using GCP tools such as BigQuery, BigLake, and Dataflow.
- Integrate structured and unstructured data sources to build unified platforms and ensure seamless data flow across systems.
- Leverage BigQuery for large-scale data analysis and business intelligence.
- Write and optimize SQL queries and automate data pipelines for regular and real-time processing.
- Apply strategies such as partitioning and clustering to optimize data storage and query performance.
- Develop and implement data integration strategies using GCP services (i.e., Cloud Pub/Sub and Dataflow).
- Work with machine learning models, particularly through Gemini and Vertex AI, to integrate predictive analytics and real-time insights into data pipelines.
- Implement data governance and security practices, including setting up access controls, encryption, and auditing procedures to ensure compliance and protect sensitive information.
- Collaborate with cross-functional teams to deliver data solutions that meet business needs. Provide mentorship and technical guidance to junior team members.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
- At least 3 years of experience working with Google Cloud Platform (GCP), particularly with BigQuery, BigLake, and other GCP tools.
- Strong proficiency in SQL for querying, transforming, and optimizing large datasets.
- Experience designing and managing ETL/ELT pipelines using GCP services such as Dataflow, Dataproc, or Cloud Composer.
- Familiarity with BigLake for integrating structured and unstructured data sources.
- Understanding of cloud data storage and processing concepts such as data lakes, data warehouses, and object storage.
- Experience working with machine learning models, especially in integration with GCP services like Gemini or Vertex AI.
- Experience with advanced machine learning algorithms and model deployment, particularly on cloud platforms is preferred.
- Familiarity with orchestration tools (i.e., Apache Beam, Apache Airflow) and CI/CD processes for data pipeline automation is a plus.
- Strong understanding of data governance, security, privacy, and cloud resource cost optimization is a plus.
- Candidates must be a United States Citizen or United States Permanent Resident.
POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.
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Digital Prospectors
Mar 14, 2025