[Remote] Marketing Data Engineer at Timescale

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Marketing, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

Google AnalyticsExcelTableauSQLCRMMarketing AutomationHubSpotData AnalysisWeb Traffic Analysis

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position with a global remote-first team.

What is the salary for this Marketing Data Engineer role?

This information is not specified in the job description.

What skills are required for this role?

Required skills include strong analytical skills with proficiency in data analysis tools like Google Analytics, Excel, Tableau, and SQL; experience analyzing large datasets for trends and insights; attention to detail; organization and time management; and strong communication skills.

What is the company culture like at Timescale?

Timescale has a global remote-first team and is a product-led growth organization focused on empowering businesses with real-time insights from their data.

What makes a strong candidate for this Marketing Data Engineer position?

A strong candidate is a curious, analytical marketer with proficiency in data tools like SQL and Tableau, experience analyzing marketing data and campaigns, plus skills in organization, attention to detail, and communicating insights; HubSpot experience is a plus.

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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