Texture logo

Data Engineer

Texture

Remote · USFull-timePosted 2y agoStill listed 2w ago

Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Texture is hiring a Data Engineer. Texture is revolutionizing the energy sector by creating a unified data network, aiming to make energy data more accessible and user-friendly. The company is backed by experienced founders and ample funding, and seeks a Data Engineer to design, construct, and optimize data pipelines to support various data workflows.

Key focus areas include Design, construct, and optimize data pipelines, Work with structured and unstructured data, and Ensure high data quality and availability for complex analysis.

Successful candidates bring 6+ Years Data Engineering Experience. Important skills include Data Warehousing Solutions, ELT Processes, dbt, Big Data Technologies, SQL Queries, and Python. Preferred (not required): BigQuery, Redshift, Databricks, and Snowflake.

Skills & qualifications

RequiredNice to have

Skills

Data Warehousing SolutionsELT ProcessesDbtBig Data TechnologiesSQL QueriesPythonReal-Time AnalyticsData Streaming TechnologiesData SecurityCryptographySecure Data TransferAnalytical SkillsProblem-Solving SkillsCollaborative WorkBigQueryRedshiftDatabricksSnowflakeHadoopApache SparkApache FlinkKafkaAWS Kinesis

Qualifications

6 Years Data Engineering ExperienceBuilding and Optimizing Data Pipelines and ArchitecturesExperience in Big Data Technologies and Data Warehousing

Full job description

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

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.

Evaluate my fit