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.
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.
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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