Senior Data Engineer

Oats Overnight is hiring a Senior Data Engineer as its first dedicated Data Engineering hire. The role will build and evolve the data platform, pipelines, integrations, and trusted data models that support analytics, AI, internal tools, and operational workflows across the company.

Responsibilities:

• Own our data pipelines end to end. Design, build, and operate reliable pipelines across internal systems, APIs, applications, and third-party platforms, including our Airflow and dbt infrastructure
• Build integrations and trusted data models. Develop durable integrations and create clean, scalable, well-documented source-of-truth datasets for analytics, operational workflows, and downstream applications
• Improve reliability and quality. Establish testing, monitoring, observability, and alerting that make our data platform dependable as the company scales
• Build the data foundation for AI. Make well-defined, trustworthy data available to our internal AI analytics agents and other AI-powered workflows
• Partner closely with Engineering. Support application data, integrations, APIs, event instrumentation, and other data infrastructure needs across our software and operational systems
• Build beyond the warehouse. Develop lightweight APIs, services, automations, and internal tools when the right solution extends beyond a traditional data pipeline, using AI coding tools to accelerate development
• Set Data Engineering standards. Establish best practices across architecture, modeling, testing, CI/CD, code review, documentation, governance, and reliability
• Continuously improve our platform. Simplify architecture, reduce technical debt, eliminate manual processes, and improve developer velocity
• Build pragmatically for scale. Make technical and architectural decisions that balance what the business needs today with where our data platform needs to go
• Partner directly with the business. Work with teams across Oats Overnight to understand their problems and translate them into scalable technical and data solutions
• Flex beyond Data Engineering when needed. Build a Looker/Hex model, investigate a business question, prototype a forecasting model, automate an operational process, or tackle another high-impact problem when needed
• Own the outcome. Stay close to how your work is actually used - we care about whether the solution solves the problem, not just whether the pipeline ran successfully
• Other duties as assigned

Requirements:

• 5+ years of experience in Data Engineering, Analytics Engineering, Software Engineering with a data focus, or a related technical role. We're also open to strong Analytics Engineers looking to grow further into Data Engineering and infrastructure ownership
• Strong proficiency in Python and SQL, with experience writing production-quality code and building ETL/ELT pipelines
• Experience with modern data tooling, including Airflow and/or dbt, and a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Experience building data pipelines and integrations across APIs, databases, and third-party systems
• Strong understanding of data modeling and warehouse design, including building reliable, reusable source-of-truth datasets
• Experience using coding agents and AI-assisted development tools as part of your engineering workflow
• Someone that can partner and influence at all different levels
• Ability to handle multiple priorities and navigate in a fast moving environment
• Flexible, willing, and quick to learn new processes, new technology, and new ways of thinking
• Experience as an early data hire or building significant parts of a data platform from the ground up
• Deep production experience with Snowflake, dbt, Airflow, Looker, and/or Hex
• Experience building AI/LLM data infrastructure, internal APIs, backend services, or internal tools
• Experience with business analytics, with a track record of translating data, models, and technical insights into actionable business decisions
• Experience working with data across subscription e-commerce, manufacturing, supply chain, marketing, finance, or operations