Data Engineer

🕒 March 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 69%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Texture

WebsiteLinkedInAll Job Openings

1 - 10 employees

⚡ Energy

🏢 Enterprise

☁️ SaaS

Energy • Enterprise • SaaS

Texture is a technology company focused on providing a cloud platform tailored for the distributed energy sector. The platform aims to eliminate data and process silos within organizations, enhancing collaboration and maximizing impact. Texture offers capabilities including data aggregation and access, AI-driven insights, relationship management, grid services enablement, and network monitoring and diagnostics. With a focus on democratizing access to energy data, the company supports integration with various devices such as EVs, chargers, batteries, inverters, and more. Texture's developer-oriented architecture ensures ease of use and integration through REST APIs and SDKs, and provides comprehensive solutions to optimize performance and enable strategic partnerships in the energy industry.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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