Google Cloud Platform - Developer

Delta System And Software. - Washington, D.C., DC

Full-time - Mid Level

Washington, D.C., DC

Professional, Scientific, and Technical Services

About the position

We are seeking a talented and dynamic Data Engineer/Google Cloud Platform (GCP) Developer to join our team, focusing on software development and AI/ML (Artificial Intelligence/Machine Learning) capabilities. The ideal candidate will play a pivotal role in designing, building, and optimizing data pipelines, leveraging cloud technologies and machine learning techniques to support cutting-edge solutions. This is an exciting opportunity for individuals passionate about data engineering and AI/ML to make a meaningful impact on the organization's cloud and data strategy. The role is primarily on-site for 3 days per week in the Greater Washington, DC area, with flexibility to work remotely the remainder of the week.

Responsibilities

• Design, build, and maintain scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc.
• Develop and deploy machine learning models on GCP, leveraging tools such as AI Platform, TensorFlow, AutoML, and Vertex AI.
• Work closely with software engineers, data scientists, and business stakeholders to gather requirements and implement innovative solutions for data processing, analytics, and AI/ML projects.
• Implement data ingestion, transformation, and integration processes to handle structured and unstructured data sources.
• Ensure data quality, reliability, and compliance with security best practices.
• Collaborate on the design and development of APIs for data access and model integration.
• Optimize cloud-based infrastructure for performance, scalability, and cost efficiency.
• Stay current with emerging trends and technologies in data engineering, AI/ML, and cloud computing.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 2-5 years of experience in data engineering, software development, or cloud infrastructure.
• GCP experience is highly preferred.
• Strong programming skills in Python, Java, or Go for data processing and machine learning workflows.
• Experience with SQL and NoSQL databases for querying and managing large datasets.
• Hands-on experience with GCP services (BigQuery, Dataflow, AI Platform, etc.).
• Familiarity with AI/ML frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn.
• Strong understanding of data structures, algorithms, and software design principles.
• Ability to work collaboratively in a fast-paced environment and manage multiple priorities.

Nice-to-haves

• Experience with deploying machine learning models in production environments.
• Knowledge of MLOps practices for monitoring, retraining, and maintaining AI/ML models.
• Familiarity with CI/CD pipelines and infrastructure as code (eg, Terraform).
• Certification in Google Cloud Platform (GCP) is a plus.

Benefits

• Competitive salary and performance-based incentives
• Opportunities for career growth and professional development
• Health, dental, and vision insurance
• Flexible work environment (on-site 3 days/week, remote 2 days)
• Access to cutting-edge technologies and projects in AI/ML and cloud computing