Data Engineer

We are actively seeking an experienced Data Engineer to join our dynamic team in Plano, TX. This long-term contract position offers a unique opportunity to design, develop, and maintain robust and scalable data pipelines, contributing significantly to our data infrastructure. The ideal Data Engineer will be passionate about working with large datasets and leveraging cutting-edge cloud technologies to drive data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines utilizing Python and SQL.
• Construct real-time event-driven integrations and efficient batch processing pipelines.
• Develop and optimize data models within BigQuery to ensure peak performance and cost-efficiency.
• Deploy and meticulously monitor data services using Google Cloud Platform (GCP), specifically including Cloud Run.
• Optimize complex queries through partitioning, clustering, and incremental processing techniques.
• Implement continuous integration/continuous deployment (CI/CD) practices, automated testing, Git version control, and infrastructure as code principles.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a closely related technical field.
• A minimum of 3 years of professional experience specifically in data engineering, demonstrating strong proficiency in Python and SQL.
• Proven hands-on experience with BigQuery or equivalent platforms such as Snowflake, Redshift, or Databricks.
• Comprehensive knowledge of GCP services, including Cloud Run, Pub/Sub, Cloud Storage, and Identity and Access Management (IAM).
• Experience in managing and processing large-scale telemetry, event, IoT, or log datasets.
• Exceptional analytical, problem-solving, communication, and collaboration abilities.

What We Offer

• An engaging long-term contract opportunity to work on critical data infrastructure.
• The chance to work with advanced Google Cloud Platform technologies.
• A collaborative and innovative work environment.
• Opportunity to contribute to impactful data-driven solutions.