[Remote] Data Engineer at Timescale

Remote

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Infrastructure, Database Technology, Analytics & Business IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Data InfrastructureETL/ELT ProcessesDatabase Performance OptimizationData ModelingReal-time AnalyticsTime Series DataSQLPostgreSQLScalabilityPerformance TuningData Democratization

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote-first position with a preferred location in the United States or Europe.

What skills are required for the Data Engineer role?

Key skills include expertise in building scalable data pipelines and ETL/ELT processes, architecting and optimizing data warehouse solutions for time-series and analytical datasets, implementing data quality frameworks and monitoring systems, and strong collaboration skills.

What is the company culture like at TigerData?

TigerData has a globally distributed, remote-first culture committed to direct communication, accountability, and collaborative excellence.

What kind of person succeeds in this role?

You'll succeed if you are systematic, detail-oriented, performance-focused, a collaborative problem-solver, excited by technical challenges and scale, and passionate about building reliable data infrastructure.

What is the salary or compensation for this position?

This information is not specified in the job description.

Timescale

Time series data management and analytics

About Timescale

Timescale specializes in managing time series data through its main product, TimescaleDB, which is an open-source database designed to efficiently handle large volumes of data points collected over time. Built on PostgreSQL, TimescaleDB offers reliable performance and operational efficiency. The company serves various industries, including IoT and financial services, enabling clients to analyze and gain insights from time series data for improved decision-making and automation. Timescale differentiates itself by providing both on-premise and cloud-based solutions, along with a freemium model that allows users to access the core product for free while offering premium features and enterprise support for revenue. The goal of Timescale is to enhance how businesses manage and analyze time series data, making it easier and more effective for organizations to leverage their data.

New York City, New YorkHeadquarters

2015Year Founded

$179.8MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Risks

Increased competition from Neon offering serverless Postgres databases.

Rebranding as a cloud company may confuse existing customers, risking churn.

Growing popularity of serverless platforms challenges Timescale's traditional offerings.

Differentiation

TimescaleDB is built on PostgreSQL, ensuring reliability and operational efficiency.

Offers both on-premise and cloud-based solutions, catering to diverse business needs.

Freemium model with open-source core attracts a large user base.

Upsides

Increased adoption of edge computing aligns with Timescale's time-series database offerings.

Rise of serverless computing creates opportunities for scalable, on-demand resources.

Growing trend of digital twins boosts demand for robust time-series data management.

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