数据平台工程师
Data Platform Engineer
Radar 是全球领先的地理位置技术公司，提供地理围栏 SDK、地图 API 以及用于营销、欺诈检测和运营团队的 AI 驱动解决方案。
为什么 Radar 是最佳工作场所？
- 我们被世界上一些最好的公司所信赖，从高增长的初创公司到财富 500 强企业。
- 我们拥有惊人的规模：每天处理超过 10 亿次 API 调用，来自数亿台设备。
- 我们资源充足，已从世界级投资者（包括 Accel 和 Insight Partners）处筹集了 8550 万美元。
- 我们有高性能文化，每个职位都有雄心勃勃且具有创业精神的团队成员。
- 我们最近搬进了曼哈顿熨斗区令人惊叹的新办公室。
- 我们最近被 Crain's 评为纽约市十大最佳工作场所之一。
尽管我们取得了增长和规模，但我们才刚刚开始。这就是你的机会。
关于该职位
我们正在寻找一位数据平台工程师，来构建我们下一代的数据平台。理想的候选人曾在大型系统中担任数据平台工程师，并对深入理解与我们的数据平台相关的客户痛点和机会充满热情。到目前为止，这一直是工程团队的共同责任，但随着我们每天处理超过 10 亿次 API 调用（并且有大量的数据进入我们的数据湖），我们正在招聘一个数据平台工程团队，以现代化并提升我们的数据栈。该职位可以在我们的纽约总部或美国远程办公。
我们如何工作：
我们大部分工程团队成员都是前技术联合创始人或来自滑铁卢大学和卡内基梅隆大学的 Radar 实习生。Radar 的大多数工程师都符合两种模式之一：在某一技术栈上具备资深水平，或者在任何级别上具备“多栈”能力。我们称之为“多栈”，因为“全栈”通常意味着“前端和后端”，但 Radar 工程师可能还会涉及移动端或数据工程。当然，你不需要在所有这些方面都是专家，但渴望学习、在不同技术栈之间切换并完成任务是最重要的。
我们非常重视快速交付和与客户沟通。我们致力于实现全栈位置基础设施的产品愿景，但也知道客户反馈是一张通往宝藏的地图。虽然 Slack 是我们公司的大脑，但在纽约总部面对面协作是我们完成工作的最快方式。我们每周一开会，小团队一起规划本周的工作。
查看英文原文
**About Radar**
[Radar](https://radar.com) is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.
Why is Radar the best place to work?
- We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
- We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
- We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
- We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
- We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
- We were recently named a top 10 best place to work in NYC by Crain's.
Despite our growth and scale, we're still just getting started. That's where you come in.
**About the role**
We're looking for a Data Platform Engineer to build out the next generation of our data platform . The ideal candidate has been a data platform engineer on a large system and is energized by deeply understanding customer pain points and opportunities related to our data platform. To date this has been a shared responsibility on our engineering team, but as we've grown to over 1 billion API calls per day (with lots of data exhaust into our data lake), we're hiring a Data Platform Engineering team to modernize and level up our data stack. This role can be either in our NYC HQ or remote in the US.
**How we work:**
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week.
**The stack:**
- Our data stack includes Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, and Kubernetes.
- Our primary languages are TypeScript, Rust, and Python.
- Most engineers are in the on-call rotation.
- We sponsor OpenStreetMaps, MapLibre, and OpenAddresses.
**How we use AI:**
- Engineers choose what AI tools they use, Claude and Codex being the most popular.
- We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
- All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.
- There is a range of how much engineers use AI. Most use it daily if not weekly.
- We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.
**The hiring process:**
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
**What you’ll do:**
- Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and Mongo (some of these need to be replaced - you'll help figure out what that looks like)
- Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.
- Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
**You should:**
- Have experience building data infrastructure
- Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools
- Are interested in talking to customers or prospects and making them successful
- Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them
**Bonus points if you:**
- Are a former technical co-founder
- Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals
**You’ll work with:**
- [**Tim Julien**](https://www.linkedin.com/in/timjulien/), CTO
- Our customers and prospects
- Our Customer Success, Sales Engineering, and Sales teams
**What we offer:**
- Competitive salary
- Meaningful stock options in a fast-growing company
- 401(k) plan with 4% match
- New HQ in Flatiron, NYC
- Top-notch equipment
- Catered lunches
- Unlimited PTO
- Health, dental, and vision insurance with 100% coverage for employees
- 12 weeks of paid parental leave
- Commuter and fitness benefits
_We’ll share full details of our benefits package at the offer stage. Benefits may vary by location._
_Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law._