Senior Software Engineer - Financial Data Products
To see similar active jobs please follow this link: Remote Development jobs
What you will own:
Write great code: We understand code is read more than it’s written, better off tested and maintainability is a must.
Help shape what we build: You’ll be working closely with product owners, designers and other engineers to design and refine our work. We work as a team and your input is key.
Influence technology evolution: We are designing new platforms with long-term goals in mind and are also happy to improve with new technology capabilities
Own delivery: We’re obsessed with shipping value; you’ll own work beyond a pull request. You’ll care about bugs, scalability, uptime and other non-functional requirements.
Grow together: You’ll review others' work and happily seek feedback on yours to ensure we build a better codebase and sharpen each other's skills.
Share your knowledge and points of view: We promote knowledge sharing across our teams and count on you to become an active member of one. Experiment with new tools, present your findings, shape our future standards.
Scope and Impact: You invent and try to simplify what we do. You insist on the highest standards from your team and yourself. You have charisma. You lead or influence a team. You tackle open-ended somewhat ambiguous problems
What you bring to the table:
Strong experience in building backend services/APIs. This role specifically is for an engineer with solid experience with Python or Java backend services as well as good exposure and understanding of data pipelines. We welcome generalists and polyglots.
You are comfortable with daily use of SQL and (preferably) have experience with modern cloud data warehouse environments.
You’re comfortable automating processes and deploying applications in Python, and developing production standard Python scripts to extract data and perform analysis
You see yourself as a problem-solver who wants to understand the business problem and communicate the commercial impact alongside the technical solution
Experience with unit and integration tests
You are a system design enthusiast and have experience designing and transforming existing systems collaboratively to make them scalable, maintainable and reliable.
You have a true DevOps mindset and are able to support your team towards becoming true owners of their product/platform
You work well with Engineering and Product members and are comfortable building effective relationships with stakeholders outside technology.
An open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world.
Our tech stack:
Backend services: Java(SpringBoot and SpringCloud), Kotlin, Python
Data Engineering: Databricks, Astronomer/Airflow, Mode, dbt, Metaplane (Python is the primary language used for data processing)
Public Cloud: AWS
CI/CD tooling: CircleCI/Github Actions, ArgoCD
Container orchestration: Kubernetes
IaC: Terraform
API Gateway and Service Mesh Architecture
Databases: PostgreSQL, NoSQL
Bonus Points if you:
Have worked at a scaling startup previously.
Have familiarity with dbt to design and implement data models.
Have worked in the financial services domain.
Have familiarity and understanding of financial accounting systems.
Please be aware that this role may require out of hours on-call.
About the job
Senior Software Engineer - Financial Data Products
To see similar active jobs please follow this link: Remote Development jobs
What you will own:
Write great code: We understand code is read more than it’s written, better off tested and maintainability is a must.
Help shape what we build: You’ll be working closely with product owners, designers and other engineers to design and refine our work. We work as a team and your input is key.
Influence technology evolution: We are designing new platforms with long-term goals in mind and are also happy to improve with new technology capabilities
Own delivery: We’re obsessed with shipping value; you’ll own work beyond a pull request. You’ll care about bugs, scalability, uptime and other non-functional requirements.
Grow together: You’ll review others' work and happily seek feedback on yours to ensure we build a better codebase and sharpen each other's skills.
Share your knowledge and points of view: We promote knowledge sharing across our teams and count on you to become an active member of one. Experiment with new tools, present your findings, shape our future standards.
Scope and Impact: You invent and try to simplify what we do. You insist on the highest standards from your team and yourself. You have charisma. You lead or influence a team. You tackle open-ended somewhat ambiguous problems
What you bring to the table:
Strong experience in building backend services/APIs. This role specifically is for an engineer with solid experience with Python or Java backend services as well as good exposure and understanding of data pipelines. We welcome generalists and polyglots.
You are comfortable with daily use of SQL and (preferably) have experience with modern cloud data warehouse environments.
You’re comfortable automating processes and deploying applications in Python, and developing production standard Python scripts to extract data and perform analysis
You see yourself as a problem-solver who wants to understand the business problem and communicate the commercial impact alongside the technical solution
Experience with unit and integration tests
You are a system design enthusiast and have experience designing and transforming existing systems collaboratively to make them scalable, maintainable and reliable.
You have a true DevOps mindset and are able to support your team towards becoming true owners of their product/platform
You work well with Engineering and Product members and are comfortable building effective relationships with stakeholders outside technology.
An open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world.
Our tech stack:
Backend services: Java(SpringBoot and SpringCloud), Kotlin, Python
Data Engineering: Databricks, Astronomer/Airflow, Mode, dbt, Metaplane (Python is the primary language used for data processing)
Public Cloud: AWS
CI/CD tooling: CircleCI/Github Actions, ArgoCD
Container orchestration: Kubernetes
IaC: Terraform
API Gateway and Service Mesh Architecture
Databases: PostgreSQL, NoSQL
Bonus Points if you:
Have worked at a scaling startup previously.
Have familiarity with dbt to design and implement data models.
Have worked in the financial services domain.
Have familiarity and understanding of financial accounting systems.
Please be aware that this role may require out of hours on-call.
