Data Engineer

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.

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  At least 6 years of relevant experience in data engineering

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  Proven track record of building and optimizing data pipelines and architectures

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  Demonstrable experience in big data technologies and data warehousing

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

• 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