over 2 years ago
Remote, United States or New York, NY, USASenior
Responsibilities
- Design, construct, and optimize data pipelines for diverse data workflows.
- Support structured and unstructured data processing while maintaining high data quality and availability.
- Build and optimize data pipelines and data architectures for analysis by data scientists, engineers, and other stakeholders.
- Work with data warehousing, ELT, big data, and real-time streaming technologies.
- Collaborate with data scientists to make data actionable.
Requirements
- At least 6 years of relevant data engineering experience.
- Expertise with data warehousing solutions such as BigQuery, Redshift, Databricks, or Snowflake.
- Proficiency with ELT processes and tools such as dbt.
- Experience with big data technologies such as Hadoop, Spark, or Flink.
- Strong SQL skills and experience with Python or other programming languages.
- Familiarity with real-time analytics and streaming technologies such as Kafka or Kinesis.
- Understanding of data security best practices, encryption, and secure data transfer.
- A proven track record of building and optimizing data pipelines and architectures.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Benefits
- Competitive salary and benefits package.
- Opportunity to help revolutionize energy data management.
- Career growth as an early hire on the data team.
Tech Stack
Amazon RedshiftApache FlinkApache HadoopApache KafkaApache SparkDatabricksdbtGoogle BigQueryPythonSnowflakeSQL
Categories
Data Engineering
About Texture
Texture builds an industry cloud platform that coordinates energy operations across distributed assets, teams, and partners. Utilities, grid operators, and energy providers use its software to see, plan, and run distributed energy resources and electrification workloads from a single system, with data services and AI assisting operations. Founded in 2023 and headquartered in New York, the company is privately held.