[Remote] Data Engineer II
Note: The job is a remote job and is open to candidates in USA. Slate is an electric vehicle company building safe, reliable, affordable, and customizable vehicles in the USA. The company is seeking a Data Engineer II to build and maintain a self-serve data platform, develop scalable batch and real-time pipelines, and create data solutions that support analytics, business intelligence, machine learning, and operational decision-making.
Responsibilities
- Design, build and maintain scalable, high‑performance data pipelines (ETL/ELT), batch and real‑time, using cloud platforms
- Architect data models and manage structured, semi‑structured and unstructured datasets to support analytics, business intelligence, machine learning, and operational needs
- Collaborate with analysts, engineers and business stakeholders to gather requirements and translate into robust data solutions
- Implement, test and document efficient data transformations, ingestion routines and storage strategies with strong code quality standards
- Monitor and troubleshoot data quality, lineage, system health and performance
- Evaluate and recommend new tools, technologies and best practices to improve infrastructure, cost, scalability and governance
Skills
- You must be able to thrive and succeed in a fast-paced startup environment and not be hindered by ambiguity or competing priorities
- Bachelor's degree in computer science, Engineering, or equivalent practical experience
- 3+ years 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 (Python, Java, Scala, Bash, etc.)
- Experience with cloud data technologies (e.g. AWS, Spark, Redshift, S3, Glue)
- Familiarity with monitoring systems to ensure that data updates are both timely and complete (e.g., Great Expectations, Monte Carlo, etc)
- Familiarity with data catalog tooling and lineage tracking for data self-service (e.g., Atlan, OpenMetaData, etc.)
- Familiarity with data governance and data management frameworks (e.g., Lake Formation, IAM, etc.)
- Familiarity with metadata management, lineage tracking and security/compliance in data systems
- Strong communication and collaboration skills with the ability to present technical solutions to non-technical audiences
- Applicants must be authorized to work for any employer in the U.S
- Slate is looking for an experienced Data Engineer II to help our company be successful in the electric vehicle space
Company Overview