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Texture

Real-time energy data management platform

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedRemote

About the Job

Requirements

  • You have expertise in data warehousing solutions and are comfortable with technologies like BigQuery, Redshift, Databricks, or Snowflake.
  • You are proficient in extract, load, and transform processes and tools like dbt.
  • You have experience with big data technologies like Hadoop, Spark, or Flink.
  • You can write SQL queries and have experience with programming languages like Python.
  • You are familiar with real-time analytics and can work with data streaming technologies like Kafka or Kinesis.
  • You understand data security best practices around encryption and secure data transfer.
  • You are highly analytical and comfortable working closely with data scientists to make data actionable.
  • You have at least 6 years of relevant experience in data engineering.
  • You have a proven track record of building and optimizing data pipelines and architectures.
  • You have demonstrable experience in big data technologies and data warehousing.
  • You have strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Responsibilities

  • Design, construct, and optimize data pipelines to support various data workflows.
  • Work with structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders.

About the Company

Texture

Real-time energy data management platform

TextureHQ provides an energy data management platform that centralizes, standardizes, and synthesizes data from devices, internal systems, third-party sources, and energy markets to help utility companies, energy service providers, and other energy users build products quickly, innovate, and improve profitability. The platform stores, shares, and analyzes real-time energy data and offers infrastructure for controlling devices (individually or in batches) via custom rules, enabling energy optimization and automation. Compared with competitors, TextureHQ emphasizes a scalable, real-time data infrastructure that supports rapid product development and monetization on the energy grid, not just analytics. Its business model is subscription-based, with potential usage-based or premium-fee options for advanced features and third-party materials. The company’s goal is to enable clients to optimize energy consumption, accelerate innovation, and monetize energy data and ideas on the grid.

Company size
11-50
Company stage
Series A
Total funding
$19.7M
Headquarters
New York City, New York
Founded
2023

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