Data Engineer
Posted 901 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 901d ago
The date the source published, not the day we noticed it (2024-04-22). Last seen at its source 1h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
New York
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $150k–224.6k/yr
Middle 50% of 4031 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 5d ago · last seen 1h ago
The listing
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