Senior Data Engineer
Remote (US/Canada)
Copy.ai
Get great copy that sells. Copy.ai is an AI-powered copywriter that generates high-quality copy for your business. Get started for free, no credit card required! Marketing simplified!Over 1 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.
We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.
Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern. At this time, we are only hiring full-time roles in the USA and Canada.
We are looking for a Senior Data Engineer with experience in developing and managing large data infrastructure. The data engineer should be able to put together secure and scalable infra, design ETL processes and work with the product engineering team to integrate the key data.
What you'll do:
- Take ownership to build scalable and reproducible data infrastructure (warehousing, ETL pipelines, web services, and APIs)
- Data-set extraction and cleaning, launching and deploying large experiments, and developing the automated systems to launch online experiments, and statistical analysis of the results of the experiments
- Help the team implement new experimental prototypes
- Extend existing infrastructure to support new features in ML applications such as feature-stores, embedding, and experimentation velocity
- Data extraction, exploratory analysis, cleaning, and enrichment
- Build and support online experiments
- Effectively communicate with Product, Engineering, and Marketing to understand objectives and motivations
- Design and implement data pipelines to process and store data
About you; You are:
- Able to work autonomously in a dynamic environment with various stakeholders
- Experience with online experiments, split testing, and automation
- Understands high-level goals in order to prioritize workload
- Experience with public-cloud technologies such as GCP, AWS, and/or Azure. Bonus if you have experience in Kubernetes and Docker
- Self-motivated and passionate
- Deep understanding of ETL pipelines and data warehouses
- Familiar with SDLC best practices with experience collaborating with other developers and shipping production-quality code
- Solid quantitative and analytical foundations
- Advanced skill-level in Python.
What We Offer 😎:
👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 30 team members as of 08/2022💰 Competitive salary and stock option equity packages; We're a Series A startup🏥 Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums🏠 100% REMOTE startup! Our team is distributed all over the US and Canada🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 📈 401k plan and automatic 3% employer contribution from Day 1!!!!💻 Brand new work-sponsored computer🏝 IRL / In-Person retreats throughout the year
Copy.ai Organizational Values:
⭐️ Customer focus ⭐️ Transparency ⭐️ Data driven ⭐️ Dog-fooding ⭐️ Writing ⭐️ Creativity ⭐️ Learning ⭐️ Ownership
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Data pipelines Docker Engineering ETL GCP Kubernetes Machine Learning NLP Pipelines Python SDLC Statistics Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity Health care Salary bonus Startup environment Team events Unlimited paid time off
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