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- Tasks: Build a robust data infrastructure and manage data pipelines for our innovative product.
- Company: Join Causal, a well-funded tech startup revolutionising how we work with numbers.
- Benefits: Enjoy competitive salary, unlimited PTO, wellness stipends, and learning opportunities.
- Why this job: Make a real impact by solving data challenges and enhancing user experience.
- Qualifications: Proficient in TypeScript with solid software engineering experience and great communication skills.
- Other info: Remote-first culture with company retreats and excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
We're building a new way to think and work with numbers. Causal is a tool for performing calculations, visualising data, and communicating with numbers. We take the good parts of spreadsheets and combine them with the good parts of programming, to make number-crunching fast, collaborative, and accessible to everyone. We are well-funded by some great VCs and angel investors across the US and Europe.
We're looking for an engineer to build out our data infrastructure. Robust data infrastructure is crucial for our product; working with live data is one of the biggest pain points of spreadsheets, and one of the biggest value propositions of Causal. We need to be able to connect to any customer data, wherever it lives: accounting software (e.g. QuickBooks, NetSuite), CRM (e.g. Salesforce, Hubspot), payments provider (e.g. Stripe), and custom databases/data warehouses.
Key Responsibilities- Build a unified system to manage all data pipelines (including health checks and alerting).
- Work with clients and our customer success team to gather requirements and implement pipelines to pull data from various data sources.
- Have solid understanding and proficiency using TypeScript.
- 6+ years software engineering experience.
- Experience with MongoDB or PostgreSQL.
- 4+ years of experience (excluding contracting), including customer-facing experience OR other demonstrated experience with excellent communication and collaboration.
- Experience with Node or Go or Python (Good to have).
- Experience with data architecture.
- Competitive salary and equity package.
- Unlimited PTO.
- Equipment stipend to support your home office needs.
- Generous monthly remote wellness stipend, which can be used flexibly for daily lunch, gym membership, co-working, etc.
- Generous annual learning and development stipend.
- Company retreats twice a year.
- Remote-first (United States, Canada, United Kingdom) with physical spaces in London and NYC.
- We can sponsor visa for the right candidates.
- This is a full time, W2 role and not C2C or for contractors.
Backend Engineer - Data (London, Toronto, NYC) employer: EliteHunt
Contact Detail:
EliteHunt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer - Data (London, Toronto, NYC)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews! Research common backend engineering questions and practice your answers. We want you to feel confident showing off your TypeScript skills and experience with data architecture.
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, let us see what you've built. Highlight any data pipelines or systems you've worked on, as this will resonate with our focus on robust data infrastructure.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission to revolutionise how we work with numbers.
We think you need these skills to ace Backend Engineer - Data (London, Toronto, NYC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TypeScript, MongoDB, and PostgreSQL. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about building data infrastructure and how your past experiences have prepared you for this role. Keep it engaging and personal!
Showcase Communication Skills: Since we value collaboration, make sure to mention any customer-facing experiences or teamwork examples in your application. We love seeing how you’ve worked with others to achieve great results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at EliteHunt
✨Know Your Tech Stack
Make sure you brush up on TypeScript, MongoDB, and PostgreSQL before the interview. Be ready to discuss your experience with these technologies and how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand Data Pipelines
Since the role involves building data pipelines, it’s crucial to understand how they work. Prepare to talk about any previous experience you have with managing data flows, health checks, and alerting systems. Being able to share specific examples will demonstrate your expertise.
✨Communicate Clearly
Given the customer-facing aspect of the role, practice articulating your thoughts clearly. You might be asked to explain complex technical concepts to non-technical stakeholders, so being able to simplify your language is key. Think of examples where you’ve successfully communicated with clients or team members.
✨Show Your Collaborative Spirit
Causal values collaboration, so be prepared to discuss how you’ve worked with others in the past. Share stories that highlight your teamwork skills, especially in cross-functional settings. This will help convey that you’re a good fit for their culture and can work well with the customer success team.
