Data Engineer
Company Overview:
PrecisionLender’s pricing and profitability platform helps commercial bank relationship managers make smart, real-time pricing decisions and deliver superior customer service. Andi®, our virtual pricing analyst, uses artificial intelligence to glean and deliver insights from the thousands of deals priced daily in the platform. Using PrecisionLender, banks grow faster with stronger and more profitable relationships. Our product is used globally by 200+ banks and 10,000+ relationship managers to price more than $1 trillion in commercial loans.
The Data Engineering Team:
The Data Engineering team builds and maintains the infrastructure for developing and deploying data analytic products. Our team collaborates closely with data scientists and other product engineering teams. Among other things, we own a metadata service, batch and spark compute, a scheduling infrastructure, a real time prediction service, and a collection of ETL pipelines. Currently, our infrastructure runs more than 25,000 ETL jobs daily.
If you love data, data pipelines, and more importantly empowering the use of data, this could be the role for you.
Requirements:
2 + years of experience working in backend development
2 + years proficiency in Python, C#, Golang, or Java
Strong communication and reasoning skills
Bachelor’s Degree, preferably in a technical field
Experience using source control, unit testing frameworks, agile/scrum product development
Experience taking responsibility for small features, from design to delivery
Empathy for the end user and a desire to measure your work by both customer value and technical quality
A bias for action tempered with thinking about the implications of the work you are doing
Enthusiasm for the field and professional development/improvement outside the day to day job
We look for engineers that are comfortable working in a team setting as well as working individually under their own responsibility. Regardless of experience level, all of our engineers strive to learn more then they knew yesterday. We pride ourselves on elevating the folks around us. We grow leaders and encourage engineers at all levels of experience to take ownership of challenging work. We also develop communication skills by having engineers work directly with users on small features and bugs.
Core Technologies being used:
Microsoft Azure
Azure Batch, Databricks
Kubernetes
Apache Airflow, Data Factory
SQL Server, PostgreSQL
Django, PySpark, Pandas
Python, Golang
Bash, Powershell
CI/CD: Git, Azure DevOps, Docker
#LI-Remote
At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.