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Tiger Data

Open-source time-series database platform

Database Support Engineer

Customer SupportConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Bachelor’s degree in computer science, information systems, or equivalent experience.
  • Relational database experience at scale, including administration, data modeling, and query optimization.
  • Experience with relational databases; PostgreSQL experience is a strong plus.
  • Experience as a technical support professional working with external customers.
  • Strong aptitude for understanding and learning new software products.
  • Strong communication skills and the ability to express patience and empathy when troubleshooting complex technical concepts for a varied audience.

Responsibilities

  • Work with customers on topics ranging from basic TimescaleDB administration to consultative conversations about design, optimization, and implementation.
  • Manage support cases from beginning to end.
  • Develop and maintain close relationships with customers to help them succeed.
  • Remain curious, learn continuously, and look for ways to improve products, processes, and culture.

Desired Qualifications

  • Familiarity with TimescaleDB; candidates are encouraged to download and test it before interviewing.
  • Familiarity with broad cloud computing concepts and experience with AWS, GCP, and Azure.
  • Experience with relational databases, NoSQL databases, and data modeling tools.
  • Familiarity with PostgreSQL best practices, query plan analysis, backup and restore, and migrations.

About the Company

Tiger Data

Open-source time-series database platform

Timescale builds and maintains TimescaleDB, a time series database built on PostgreSQL. It handles large volumes of time-stamped data efficiently and provides a SQL interface for querying, with features like hypertables for scalable partitioning. The product is available as an open-source core, with premium features, enterprise support, and a fully managed multi-cloud cloud service for on-premise, edge, or cloud deployments. Timescale differentiates itself by leveraging PostgreSQL compatibility, offering flexible deployment options, and combining an open-source base with paid enhancements and managed services. The company's goal is to help organizations store, analyze, and act on time series data at scale, serving industries like IoT and financial services with reliable real-time analytics.

Company size
11-50
Company stage
Series C
Total funding
$184.8M
Headquarters
New York City, New York
Founded
2015

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