Data Engineer II

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $119.7k - $179.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Slate Auto

WebsiteLinkedInAll Job Openings

201 - 500 employees

🚘 Automotive

🏭 Manufacturing

🚗 Transport

Automotive • Manufacturing • Transport

Slate Auto is a manufacturer of a radically simple, highly customizable electric pickup that can be configured as a pickup or fastback SUV. The company sells directly to consumers with an online configurator called the Slate Maker, a reservation model, and an accessories marketplace for swaps and upgrades. Slate Auto emphasizes affordability, practical design, and easy ownership with integrated charging options and third‑party service and charging network partnerships.

📋 Description

• 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