• Design and develop web and mobile platforms • Collaborate with the South American team and clients • Manage and optimize data processes and workflows • Ensure high standards of quality and performance in solutions

• Assemble and manage large, complex datasets that meet both non-functional and functional business requirements. • Identify, design, and implement internal process improvements to enhance scalability, optimize data delivery, and automate manual processes. • Build and maintain optimal data pipeline architecture for efficient extraction, transformation, and loading of data from various sources. • Provide technical expertise and support for data-related issues. • Partner with data and analytics experts to enhance functionality and performance of data systems. • Design and deploy frameworks and microservices to serve data assets to data consumers. • Performs root cause analysis on data and processes to identify opportunities for improvement. • Act as a trusted advisor and partner to business leads, understanding their needs, interpreting data drivers, and aligning data strategies with business goals. • Evaluate customer requirements and contribute to the development of structural necessities within the data architecture. • Ensure database implementation procedures comply with relevant regulations. • Organize data within cloud storage and implement appropriate security measures. • Collaborate cross-functionally with multiple teams within the organization. • Works independently and collaboratively in a team environment.

ABOUT SLATE At Slate, we’re building safe, reliable vehicles that people can afford, personalize and love—and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them. WHO WE ARE LOOKING FOR Slate is looking for a Principal Data Engineer to help build and scale our data ecosystem. This role is critical to shaping how we collect, organize, and leverage data across the enterprise. You will influence the data roadmap and establish the standards, practices, and technologies that power data-driven decision making at Slate. You must be able to thrive and succeed in a fast-paced startup environment where your contributions have a direct impact on the company’s direction and success, and should not be hindered by ambiguity or competing priorities. WHAT YOU GET TO DO - 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. WHAT YOU BRING TO THE TEAM - 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. WHY JOIN TEAM SLATE? At Slate, we’re fueled by grit, determination, and attention to detail. The start-up spirit of ingenuity and resourcefulness move our business forward. Team Slate fosters a culture of excellence, innovation, and mutual respect, and is motivated by shared principles. - Safety First - Delight Customers - One Team - Relentless Improvement - Fast, Frugal, and Scrappy - Respectful Collaboration - Positive Legacy WE WANT TO WORK WITH PEOPLE THAT REFLECT THE COMMUNITIES IN WHICH WE OPERATE. Slate is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Slate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at slate-talent_acquisition@slate.auto.

• Oversee the clinical data lifecycle for a portfolio of studies: ensuring timelines and data integrity are maintained. • Work closely with research project managers, algorithm developers, data engineers, and external vendors to align data management activities with broader trial objectives. • Identify data-related risks and implement mitigation strategies, while driving process improvements and adopting emerging technologies as needed. • Lead data quality management, query analysis, optimization, deduplication, auditing, and validation of regulated data ecosystems. • Develop and oversee the design of Case Report Forms (CRFs) and electronic data capture (EDC) systems to ensure accurate, complete, and protocol-compliant data collection. • Build the Clinical Data Repository that will form the backbone of all research and regulatory work at Oura