> Markdown version of [/jobs/ext/4320103-software-engineer](https://www.wearedevelopers.com/jobs/ext/4320103-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # software engineer - **Company:** Green Line Express Services Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $195,000 - $235,000 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Application Services, BigQuery, Cloud Computing, Code Generation, Code Review, Databases, Continuous Integration, Information Engineering, Relational Databases, Distributed Systems, Python (Programming Language), Ruby, Software Engineering, SQL Databases, Data Streaming, TypeScript, Snowflake, AI Coding Agents, Backend, Build Management, Data Management, Data Pipelines, Golang - **Published:** October 22, 2026 - **Apply:** https://startup.jobs/staff-engineer-data-rhino-2-10566157 ## About the Role * 8+ years of professional software engineering, including technical leadership at the senior or staff level * A software engineer first: deep expertise in at least one modern backend language (e.g., Python, Ruby, Go, TypeScript or Java), and a record of building and shipping application systems, not only data pipelines * Strong data engineering: SQL, data modeling, warehouses (e.g., Snowflake or BigQuery), transformation (e.g., dbt) and orchestration (e.g., Prefect or Airflow) * Experience designing and scaling APIs, distributed systems and relational databases * Hands-on experience with cloud infrastructure (AWS or GCP) and CI/CD * Product sense: you care about why something gets built and whether it worked, not just how it's built * Fluency with AI coding tools, and the judgment to know when their output isn't good enough * A track record of leading ambiguous, high-impact projects to completion * Clear written and verbal communication with technical and non-technical partners Nice to have * Experience in fintech, insurtech, payments or proptech * Familiarity with regulated environments (e.g., SOC 2, PCI, consumer-finance rules) * Experience building 0-to-1 products or data platforms at a startup or growth-stage company * Experience managing engineers, or a wish to grow into it ## Description As a Staff Engineer on our data team, you'll be a senior software engineer who builds the systems that produce, move and serve our data, not just the pipelines and queries on top of them. You'll set technical direction for how data flows through Greenlight Rent, from the application services and APIs that generate it to the warehouse, models and tools the business runs on. You'll partner with product, finance and operations to turn rental-housing problems into reliable software and trustworthy data. Our teams are small, about three engineers each, and AI tools let every one of them cover a lot of ground. Staff Engineers here stay hands-on: most of the week goes to building, and the rest to leading the team and growing the people on it. What you'll do * Design and build the data foundations of Greenlight Rent: event and data models, ingestion from our application databases and partner integrations (property management systems, payment providers), and the warehouse and transformation layer * Write production application code too: the services, APIs and jobs that generate and use data, not only what happens downstream of them * Own measurable outcomes with your product and business partners, and make the scope and sequencing calls that get you there * Own the reliability and correctness of the data the business depends on, including monthly close, reporting and partner data * Write high-quality code and set standards for testing, code review, observability and data quality, including when AI-generated code needs a closer look * Make pragmatic build-vs-buy and tradeoff decisions, and document them clearly * Mentor engineers through pairing, design reviews and feedback, and lead a few direct reports * Keep sensitive financial and personal data secure and compliant