Data Engineer
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Before you apply
LocationRemote
Work moderemote
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentEngineering
Company size11–50 people
PostedApr 22, 2024 · 2y ago
Verified live12h ago
May no longer be actively hiring
Posted by the company on Apr 22, 202486% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Expertise in data warehousing solutions like BigQuery, Redshift, Databricks, or Snowflake
Proficient in ELT processes and tools like dbt
Experience with big data technologies like Hadoop, Spark, or Flink
Can write SQL queries in your sleep and have experience with programming languages like Python
Familiar with real-time analytics and can work seamlessly with data streaming technologies like Kafka or Kinesis
Data security is second nature; understands best practices around encryption and secure data transfer
Highly analytical and 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
Skills
BigQuery
Redshift
Databricks
Snowflake
dbt
Hadoop
Spark
Flink
SQL
Python
Kafka
Kinesis
Benefits
Health insurance
401(k)
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
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