Data Engineer

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 What you’ve done 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

{
  "content_hash": "dc70c61b6edf58bd9dfa186df954d538552c8bd9d9ae472ff82269ba8220360f",
  "source_hash": "d3a8e88bb061546a998f969e63537eee5e05f6813f8b79e87caf0ee9a339efcc",
  "last_changed_at": "2026-05-29T07:14:45.471Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York Office",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-19T09:42:29.638Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York Office",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "id": "40adacd2-9c23-47ae-852a-355ecdeacea2",
  "team": "Engineering",
  "title": "Data Engineer ",
  "jobUrl": "https://jobs.ashbyhq.com/texture/40adacd2-9c23-47ae-852a-355ecdeacea2",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/texture/40adacd2-9c23-47ae-852a-355ecdeacea2/application",
  "isListed": true,
  "isRemote": true,
  "location": "Remote",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "New York Office"
    }
  ]
}