> Markdown version of [/jobs/ext/677729-expert-python-engineer](https://www.wearedevelopers.com/jobs/ext/677729-expert-python-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). --- # Expert Python engineer - **Company:** JELLYFISH, LLC - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, JIRA, Data Infrastructure, Software Design Documents, Programming Tools, Github, Data Processing, Large Language Models, Prompt Engineering, Gitlab, Cloudformation, Data Lakes, Terraform, Data Pipelines - **Published:** June 28, 2026 - **Apply:** https://www.welcometothejungle.com/en/companies/jellyfish/jobs/staff-data-engineer_us_5ccwiiok ## About the Role * Expert Python engineer with strong opinions about how to build reliable, maintainable systems at scale * A natural technical leader - you build consensus, unblock others, and make the engineers around you better * You have production experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural calls * AI - driven developer who dives deep into AI first workflows * You have deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end - not just contributing to it * Located in EST or CST time zone * Designed and led large-scale third-party API integration work, and you know what separates a maintainable integration from a brittle one * Exceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audience * Fluent in infrastructure as code (Terraform, CloudFormation, or similar) and think about infrastructure as a product, not an afterthought * Experienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they create * You think in systems: you consider user needs, business impact, and long-term maintainability when designing solutions * You've thrived at a rapidly scaling startup and know how to balance speed with technical rigor * You've built deep integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) and have strong opinions about how to do it well * You have hands-on experience with Delta Lake and lakehouse architectures * You bring strong perspectives on how engineering teams work best - and the tools that help or hurt ## Description * Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world. We're seeking a Staff Data Engineer who's passionate about building and scaling robust data infrastructure, defining integration patterns, and driving technical strategy across large-scale systems. * Ideally, you combine deep hands-on expertise with the ability to influence architecture and direction across teams. This is a high-agency role where you'll help shape not just what gets built, but how we build it - and raise the bar for the engineers around you * Define the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scale * Drive integrations with third-party tools and establish the standards that make future integrations faster and more reliable * Own our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructure * Architect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalability * Lead the design and implementation of data export pipelines that serve diverse customer needs * Spearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the org * Serve as a technical anchor - leading design reviews, mentoring engineers, and elevating how the team approaches complex problems * Partner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategy * Communicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholders ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)