- Test-driven development
- Google Cloud Platform
- Machine learning
Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.
Data protection goes beyond borders, beyond organizations, and beyond individual teams.
Believing that the global data protection and privacy environments have been far more complex than they should be, our client is reimagining what data protection means in a globalized, technology-driven world.
Now, more than ever, international organizations and data protection professionals need to access data and complex information quickly, conveniently, and in a simplified way.
They are shifting the entire landscape of data protection technology through automation and machine learning.
About the job
This role requires you to design and implement data ingestion and processing pipelines to drive business impact. You partner with machine learning and backend engineers to deliver scalable, performant, highly available services. Given you are constructing the foundation on which our global data infrastructure will be built, you need to pay close attention to detail and maintain a forward-thinking outlook as well as scrappiness for the present needs. You thrive in a fast-paced, iterative, but heavily test-driven development environment, with full ownership to design features from scratch to impact the business and the accountability that comes along.
Design and evolve data models according to business and engineering needs
Design data ingestion and processing ETL pipelines for scale and validate their reliability
Collaborate closely with our machine learning and core backend teams to drive maximum impact across the organization
Participate in ensuring compliance with privacy by design principles (e.g., design data de-identification pipelines to develop systems that preserve customer privacy protections)
Follow and promote software engineering and data engineering best practices across the organization; keep up to date with the state of the art developments in data engineering open-source frameworks and MLOps
Shape the direction of data engineering at Relyance and build a cohesive team culture of ownership, growth, transparency, and customer focus
You are a good fit if you:
Have a track record of delivering scalable, performant, highly available data ingestion and processing pipelines and services
Are comfortable with Python
Have strong software engineering skills, and set examples by writing clear, concise, and maintainable code considering design principles and applying sound testing practices
Have experience in designing and evolving data models and ETL pipelines with job orchestration tools like Airflow
Are proficient with public cloud concepts and delivering working solutions on public cloud infra, preferably GCP (BigQuery, BigTable, Pub/Sub)
Have a systematic and goal-directed approach to project management; are comfortable dealing with ambiguity and ruthlessly prioritizing and managing your time with a sense of urgency
Thrive in a self-directed environment with full ownership to design features from scratch to impact the business and the accountability that comes along
Are deeply curious, proactive about continuous improvement, and excited about learning at breakneck speed in a fast-growth environment; are eager to candidly and directly give and receive feedback to improve together as a team
Are customer and mission-driven, motivated by bringing the most value as possible to users and shaping an industry from the ground up
Are the ultimate team player: collaborate effectively with others, consistently make time to help your teammates, and are ego-less in the search for the best ideas