Data Engineer

Description

VAST Data is looking for a Data Engineer to join our growing team!

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

"VAST's data management vision is the future of the market."- Forbes

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.

In this role, you will be responsible for:

• Designing, building, and maintaining scalable data pipeline architectures
• Developing ETL processes to integrate data from multiple sources
• Creating and optimizing data models for efficient storage and retrieval
• Implementing data quality controls and monitoring systems
• Collaborating with data scientists and analysts to deliver data solutions
• Building and maintaining data warehouses and data lakes
• Performing in-depth data analysis and providing insights to stakeholders
• Taking full ownership of data quality, documentation, and governance processes
• Building and maintaining comprehensive reports and dashboards
• Ensuring data security and regulatory compliance

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years experience in data engineering
• Strong proficiency in SQL and Python
• Experience with ETL tools and data warehousing solutions
• Knowledge of big data technologies (Hadoop, Spark, etc.)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Understanding of data modeling and database design principles
• Familiarity with data visualization tools - Tableau, Sisense
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Experience with version control systems (Git)