Slate

Principal Data Engineer

Slate

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

Amazon RedshiftAWSCloudDynamoDBETLMongoDBMySQLNoSQLPostgresTableau

About the role

  • Influence and oversee the enterprise data roadmap, scaling our data ecosystem as our data universe grows.
  • Define and enforce ETL/ELT standards for data ingestion, transformation, and loading across the organization.
  • Architect and manage cloud data infrastructure on AWS, including Redshift, DynamoDB, and scalable pipeline patterns.
  • Establish data cataloging, source system mapping, and data dictionary practices to organize our data universe.
  • Automate and streamline onboarding of third-party data sources as external service integrations expand.
  • Partner with analytics teams to support reporting and visualization needs using variety of tools including Tableau.
  • Collaborate with business partners on requirements gathering and advocate for effective data solutions.
  • Drive responsible adoption of AI and ML technologies, including LLMs (e.g., Claude, OpenAI), ensuring ethical use and data integrity.
  • Define and standardize the company’s ML tooling to enable high-value insights at scale.
  • Lead data governance efforts, including privacy protections, usage policies, and compliance standards.
  • Optimize query performance across relational and NoSQL database systems.
  • Evaluate emerging technologies and assess fit for Slate’s business and technical needs.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, or equivalent experience.
  • 10+ years of experience in data engineering or a related technical discipline.
  • 5+ years delivering production-grade data pipelines, data warehousing, and platform architecture.
  • Strong proficiency in AWS data technologies including Redshift, DynamoDB, and AWS Glue.
  • Deep knowledge of ETL/ELT best practices, pipeline orchestration, and optimization at scale.
  • Experience with BI tools such as Tableau and Power BI.
  • Familiarity with AI/ML platforms and LLM APIs; ability to apply them responsibly and ethically.
  • Experience with data governance, privacy regulations, and establishing data usage policies.
  • Proven experience with data cataloging, source-to-target mapping, and data dictionary creation.
  • Proficiency with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB) databases, including query optimization.
  • Strong ability to translate business requirements into scalable data solutions and communicate effectively with non-technical stakeholders.
  • Automotive or OEM manufacturing experience is a plus.
Benefits
  • Competitive salary
  • Flexible working hours
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTdata ingestiondata transformationdata loadingcloud data infrastructuredata governancequery optimizationdata catalogingdata warehousing
Soft Skills
collaborationcommunicationrequirements gatheringadvocacyleadershipethical use of technologyproblem-solvingstakeholder engagementorganizational skillsdata integrity
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data Engineering