Texture
Data Engineer
Texture, New York, New York, us, 10261
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 forYou have expertise in data warehousing solutions, and you're comfortable with technologies like BigQuery, Redshift, Databricks, or SnowflakeYou're proficient in ELT processes and tools like dbtYou have experience with big data technologies like Hadoop, Spark, or FlinkYou can write SQL queries in your sleep and have experience with programming languages like PythonYou're familiar with real-time analytics and can work seamlessly with data streaming technologies like Kafka or KinesisData security is second nature to you, and you understand best practices around encryption and secure data transferYou're highly analytical and are comfortable working closely with data scientists to make data actionableWhat you've doneAt least 6 years of relevant experience in data engineeringProven track record of building and optimizing data pipelines and architecturesDemonstrable experience in big data technologies and data warehousingStrong problem-solving skills and the ability to work in a fast-paced, collaborative environmentBenefitsCompetitive salary and a compelling benefits packageA front-row seat in the revolutionizing of energy data managementAmple room for career growth, as you'd be one of our pioneer hires in the data department
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 forYou have expertise in data warehousing solutions, and you're comfortable with technologies like BigQuery, Redshift, Databricks, or SnowflakeYou're proficient in ELT processes and tools like dbtYou have experience with big data technologies like Hadoop, Spark, or FlinkYou can write SQL queries in your sleep and have experience with programming languages like PythonYou're familiar with real-time analytics and can work seamlessly with data streaming technologies like Kafka or KinesisData security is second nature to you, and you understand best practices around encryption and secure data transferYou're highly analytical and are comfortable working closely with data scientists to make data actionableWhat you've doneAt least 6 years of relevant experience in data engineeringProven track record of building and optimizing data pipelines and architecturesDemonstrable experience in big data technologies and data warehousingStrong problem-solving skills and the ability to work in a fast-paced, collaborative environmentBenefitsCompetitive salary and a compelling benefits packageA front-row seat in the revolutionizing of energy data managementAmple room for career growth, as you'd be one of our pioneer hires in the data department