Experienced Full Stack Data Engineer – Data Platform Development at careerzynith
Job Summary:
Join careerzynith, a leading provider of innovative AI-powered communication tools, as a Full Stack Data Engineer in our Data Platform Development team. As a key member of our team, you will design and develop highly scalable, low-latency data pipelines that enable data architects and end-users across careerzynith to work with large-scale data insights. With a competitive salary of $27/hour and a remote work arrangement, this is an exciting opportunity to join a dynamic team that is shaping the future of communication.
About careerzynith:
careerzynith is a pioneering company that has been transforming the way people communicate for over 10 years. Our mission is to improve lives by improving communication, and we're doing this by developing cutting-edge AI-powered tools that help individuals and organizations express themselves more effectively. With a strong focus on innovation, collaboration, and learning, we're creating a new standard for communication assistance. Our products, including Grammarly Free, Grammarly Premium, Grammarly Business, and Grammarly for Education, have become the go-to solutions for millions of users worldwide.
The Role:
As a Full Stack Data Engineer in our Data Platform Development team, you will play a critical role in designing and developing data pipelines that enable data architects and end-users to work with large-scale data insights. Your responsibilities will include:
- Designing and developing highly scalable, low-latency data pipelines that integrate with our data lakehouse
- Building and maintaining data models, storage structures, and access mechanisms for our data lakehouse
- Developing streaming cycles for real-time data processing and event-driven architecture
- Improving data engineer efficiency and self-serve capabilities by contributing to our stream data processing framework
- Owning the data engineering framework as-code for provisioning services that enable our engineers to deploy mature software applications within hours
- Coaching other back-end engineers in the team and assisting them in their growth
- Building and contributing to AWS high-scale distributed frameworks
- Collaborating with cross-functional teams to design and implement data-driven solutions
What We're Looking For:
We're seeking a talented and motivated individual who embodies our energetic values: moral, versatile, abrasive, compassionate, and surprising. As a Full Stack Data Engineer, you will have:
- A Bachelor's degree in Computer Science, Engineering, or a related field
- Proficiency in Python, Scala, or Java
- Experience designing and developing database systems and writing SQL queries
- Experience planning and standing up APIs and services
- Experience with system design and building internal tools
- Experience working with applications that handle data from data lakes
- Experience building internal administrator sites
- Good knowledge of and some experience with AWS (or Purple or GCE, with a willingness to learn AWS quickly)
- The ability to proficiently choose an open-source or third-party tool to achieve a goal or devise a quick and simple solution on your own
What We Offer:
At careerzynith, we believe that independence and trust are essential to engaging our colleagues to put forth their best effort, most innovative work in a way that aligns with their preferences, skills, and well-being.
We offer
- A competitive salary of $27/hour
- A remote work arrangement with the option to work from home or our office
- A comprehensive benefits package, including:
+ Fantastic medical, dental, vision, mental health, and fertility benefits + Disability and life insurance options + 401(k) and RRSP matching + Paid parental leave + Twenty days of paid time off each year, eleven days of paid holidays each year, and unlimited days off + Workspace allowances + Guardian and pet care payments + Health stipends + Recognition and reward programs
- Opportunities for professional growth and development, including training, mentoring, and regular feedback
- A dynamic and collaborative work environment that values diversity, equity, and inclusion
- A chance to work on cutting-edge projects that have a real impact on people's lives
How to Apply:
If you're a motivated and talented individual who is passionate about data engineering and wants to join a dynamic team that is shaping the future of communication, please apply to this job through our website. We can't wait to hear from you! Apply for this job