Data Engineer

About the Role As the Founding Senior Data Engineer , this individual will play a critical role in shaping how data is leveraged across the business. They will take ownership of a modern data stack and evolve it into a scalable, best‑in‑class platform that powers analytics, reporting, and machine learning. This is a high‑impact, 0 to 1 opportunity where they will define data engineering as a core function, enabling the broader team to move faster and make better decisions. What They'll Do Own and optimize the entire data platform, including a modern cloud data warehouse (e.g., Snowflake) Design and build scalable, reliable ETL/ELT pipelines with strong monitoring and observability Develop clean, intuitive data models for reporting, dashboards, and ML use cases Enable self‑service analytics while maintaining security and compliance standards Partner with engineering, product, and analytics to ensure high‑quality, usable data Implement best practices including testing, CI/CD, and documentation Help drive strategic decisions on tooling, architecture, and long‑term data infrastructure Key Initiatives Redesigning core data models to significantly reduce query redundancy Improving pipeline reliability and proactive monitoring Optimizing warehouse performance and cost efficiency Building semantic layers to unlock data for both technical and non‑technical users What They’re Looking For Experience & Expertise 5+ years in data engineering or analytics engineering Strong experience with modern data warehouses (Snowflake, BigQuery, Redshift) Advanced SQL skills and a deep understanding of query performance Hands‑on experience with dbt or similar tools Proven ability to build and scale ETL/ELT pipelines Technical Leadership Experience operating as a sole or lead data engineer Strong collaboration with engineering teams on data quality and systems design Track record of improving performance while reducing infrastructure costs Experience implementing data quality and monitoring frameworks Mindset Systems thinker with a strong sense of ownership Comfortable operating in ambiguity and building from scratch Able to connect technical work to business impact Clear communicator who values documentation and collaboration Bias toward iteration and shipping Nice to Have Experience with real‑time/streaming data systems Exposure to ML infrastructure or feature stores Familiarity with financial data or regulated environments Background in startups or high‑growth companies #J-18808-Ljbffr Acceler8 Talent