Data Engineer at Texture

This role is designed for an experienced Data Engineer with at least 6 years of experience who is ready to take on a "pioneer" role in an early-stage energy tec

Work type: remote

Location: Remote | New York Office

Type: Full-time

Summary

This role is designed for an experienced Data Engineer with at least 6 years of experience who is ready to take on a "pioneer" role in an early-stage energy tech company. You should be a master of the modern data stack, particularly comfortable with ELT processes, dbt, and cloud data warehousing (Snowflake, BigQuery, etc.). This is a technical, hands-on position requiring deep knowledge of both batch and real-time streaming architectures. The biggest draw here is the opportunity to be a founding member of the data department, offering significant career trajectory as the company grows. Supported by strong funding and experienced founders, Texture offers a fully remote environment with a New York office hub. You’ll be working on a mission-driven product that aims to decarbonize the grid by making energy data more accessible. **You might be a good fit if you...** * Have 6+ years of experience and can build complex data pipelines from scratch. * Are an expert in Python, dbt, and various SQL dialects. * Have experience managing both structured and unstructured data using Big Data tools like Spark or Kafka. * Enjoy the fast-paced, high-impact environment of an early-stage startup.

Job Description

## Who we are

Texture is revolutionizing the energy sector by creating a unified data network. Backed by experienced founders and ample funding, we're on track to change how energy data is accessed, used, and leveraged. Our mission is to make energy data more accessible and user-friendly, enabling organizations to make smarter decisions that benefit both their operations and the environment.

## What you’ll do

Your primary role will involve designing, constructing, and optimizing our data pipelines to support various data workflows. You will work with both structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders.

## Who we are looking for

• You have expertise in data warehousing solutions, and you're comfortable with technologies like BigQuery, Redshift, Databricks, or Snowflake

• You're proficient in ELT processes and tools like dbt

• You have experience with big data technologies like Hadoop, Spark, or Flink

• You can write SQL queries in your sleep and have experience with programming languages like Python

• You’re familiar with real-time analytics and can work seamlessly with data streaming technologies like Kafka or Kinesis

• Data security is second nature to you, and you understand best practices around encryption and secure data transfer

• You're highly analytical and are comfortable working closely with data scientists to make data actionable

• At least 6 years of relevant experience in data engineering

• Proven track record of building and optimizing data pipelines and architectures

• Demonstrable experience in big data technologies and data warehousing

• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment

• Competitive salary and a compelling benefits package

• A front-row seat in the revolutionizing of energy data management

• Ample room for career growth, as you'd be one of our pioneer hires in the data department

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