Data Engineer

Texture

$100K — $140K *
US-AnywhereRemote in New York, NY
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in data warehousing solutions (BigQuery, Redshift, Databricks, Snowflake)
  • Proficient in ELT processes and tools like dbt
  • Experience with big data technologies (Hadoop, Spark, Flink)
  • Strong SQL skills and programming abilities in Python
  • Familiarity with real-time analytics and data streaming technologies (Kafka, Kinesis)
  • Knowledge of data security practices, including encryption and secure transfer
  • Highly analytical, capable of collaborating closely with data scientists

Responsibilities

  • Design, construct, and optimize data pipelines for various workflows
  • Ensure high data quality and availability for complex analyses
  • Work effectively with structured and unstructured data
  • Support data scientists and engineers in data-related tasks
  • Manage and implement best practices for data security

Benefits

  • Competitive salary and a compelling benefits package
  • Front-row seat in the revolutionizing of energy data management
  • Ample room for career growth as a pioneer hire in the data department
Full Job Description
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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