Data Engineer II

Posted 2ds ago

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Job Description

Data Engineer II building scalable data pipelines and self-serve platforms for Slate’s affordable electric vehicles. Supporting analytics, machine learning, and critical business decisions.

Responsibilities:

  • Design, build, and maintain scalable, high-performance batch and real-time data pipelines using cloud platforms
  • Architect data models and manage structured, semi-structured, and unstructured datasets
  • Support analytics, business intelligence, machine learning, and operational needs
  • Collaborate with analysts, engineers, and business stakeholders to gather requirements and translate them into data solutions
  • Implement, test, and document data transformations, ingestion routines, and storage strategies
  • Monitor and troubleshoot data quality, lineage, system health, and performance
  • Evaluate and recommend tools, technologies, and best practices to improve infrastructure, cost, scalability, and governance

Requirements:

  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience
  • 3+ years of experience building data pipelines, modeling, warehousing, and ETL/ELT processes
  • Experience with large, complex datasets from many internal and external data systems
  • Experience with one or more scripting/programming languages, including Python, Java, Scala, or Bash
  • Experience with cloud data technologies such as AWS, Spark, Redshift, S3, or Glue
  • Familiarity with monitoring systems such as Great Expectations or Monte Carlo
  • Familiarity with data catalog tooling and lineage tracking such as Atlan or OpenMetaData
  • Familiarity with data governance and data management frameworks such as Lake Formation or IAM
  • Familiarity with metadata management, lineage tracking, and security/compliance in data systems
  • Strong communication and collaboration skills, including presenting technical solutions to non-technical audiences
  • Must be authorized to work for any employer in the U.S.
  • Slate is unable to financially sponsor or take over sponsorship of an employment visa for this opportunity

Benefits:

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Vacation
  • 401k
  • Potential eligibility for equity program
  • Potential eligibility for discretionary annual incentive program