Job details

Senior Tech Support Data Engineer

Working hours: US Business hours (Night shift)

WHAT IS YOUR ROLE

This role is part of the team of Customer Engineers in Professional Services, and we’re seeking highly talented individuals to join and grow our team. This is the intersection where the product has to meet customer needs and create value.

You are a customer-facing data engineer who loves to see technology and data used in ways that ensure our projects’ and customers' success. You have great attention to detail and are very proactive in seeking potential roadblocks to success. You have great people skills and know how to manage the trust and expectations of a customer.

WHAT WILL YOU DO

Customer Engineers are the customer facing technical owners of our existing customer relationships and data driven deliverables on the company’s platform.
You will work hands-on with our technology stack and collaborate with several teams such as Product Engineering and Customer Engagement in order to deliver on all customer technical requests. You will be responsible for regularly interacting with our customers to gather requirements (e.g. weekly meetings, email, etc), and for scoping and prioritizing the incoming work. This can include:

Designing Solutions - translate business requirements into technical solutions using SQL, scripting, codebase configurations, etc
Setting up ETL pipelines across disparate data sources, and creating a unified Data Model
Setting up/enabling new product features & ingest/export integrations
Implementing the company’s platform and its various components for our new customers
Helping answer customer questions, and troubleshooting where necessary
Participating in the on-call rotation

You will also be:

Finding out sustainable ways of addressing repeatable issues, and building tools for automation
Contributing with documentation and building our customer specific configuration knowledge base
A source of feedback for our product team, full stack and backend engineering teams

BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management or similar
2+ years in a technical role that involves managing and manipulating large data sets, such as ETL, Data Warehousing, Analytics, Data Science etc.
2+ years in a client-facing role that involves being a point-of-contact for technical and non-technical users
Proficient in one programming language and working knowledge of SQL and Unix command line tools
Working Knowledge of Github, and AWS infrastructure
Excellent problem solving skills
Strong Communication skills
Improvement mindset, through processes, tools and/ or documentation
Strong professionalism & work ethic
Nice to have: