Data Engineer

Reposted 22 Days Ago
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Tel Aviv, ISR
In-Office
Mid level
Artificial Intelligence • Software
The Role
The Data Engineer will design and maintain data pipeline architectures, develop ETL processes, implement data controls, and collaborate with data scientists to deliver solutions while ensuring data quality and compliance.
Summary Generated by Built In
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)

Skills Required

  • 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)

VAST Data Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about VAST Data and has not been reviewed or approved by VAST Data.

  • Healthcare Strength Medical, dental, vision and life insurance are included, with several elements identified as employer-provided. Coverage aligns with what is commonly offered by high‑growth tech companies.
  • Leave & Time Off Breadth Time off includes generous or unlimited PTO alongside paid sick days and paid holidays, coupled with remote or work‑from‑home flexibility. This breadth supports taking time away when needed.
  • Equity Value & Accessibility Company equity is a standard part of offers with a typical four‑year vest, and professional development support is available. Equity is positioned as a meaningful component of total compensation at a growth‑stage company.

VAST Data Insights

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The Company
Brooklyn, NY
848 Employees
Year Founded: 2016

What We Do

Meet the data platform company for the AI era. Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.

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