
51 - 200 employees
Founded 2017
💳 Fintech
☁️ SaaS
🤖 Artificial Intelligence
💰 $36M Series C - Canoe on 2024-07
Fintech • SaaS • Artificial Intelligence
Canoe Intelligence is a software company that provides purpose-built automation to streamline alternative investment workflows for institutional investors, asset servicers, capital allocators, and wealth managers. Its SaaS platform applies machine learning and automation to extract, normalize, and manage investment data, helping clients improve operational efficiency and reporting in the alternatives space. Canoe operates with distributed teams across New York, London, and Jacksonville and emphasizes client-focused B2B solutions, AI-driven product development, and automation for the finance industry.
🕒 April 10
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2017
💳 Fintech
☁️ SaaS
🤖 Artificial Intelligence
💰 $36M Series C - Canoe on 2024-07
Fintech • SaaS • Artificial Intelligence
Canoe Intelligence is a software company that provides purpose-built automation to streamline alternative investment workflows for institutional investors, asset servicers, capital allocators, and wealth managers. Its SaaS platform applies machine learning and automation to extract, normalize, and manage investment data, helping clients improve operational efficiency and reporting in the alternatives space. Canoe operates with distributed teams across New York, London, and Jacksonville and emphasizes client-focused B2B solutions, AI-driven product development, and automation for the finance industry.
• Contribute to the design and development of our Data platform. • Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems. • Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings. • Participate in cross-functional teams as Data Engineering’s representative. • Build observable systems and be an organization leader in operational excellence.
• Minimum 5 years of experience in software development, with at least two in a Data Engineering role • Experience with SQL Databases and relational data modeling. • Experience working with data at scale. • A strong sense of ownership and accountability. • Curiosity and a willingness to learn new technologies. • Great communication skills. • A history of working well with technical and non-technical stakeholders. • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.
• Medical, dental, vision benefits • Flexible PTO • 401(k) • Flexible work from home policy • Home office stipend • Employee Assistance Program • Gym/Wifi reimbursement • Education assistance • Parental Leave
Apply Now🕒 April 10
Data Architect specializing in financial systems (GL, AR, AP) and using Azure. Fully remote position requiring 12+ years of relevant experience.
Amazon Redshift
Azure
BigQuery
Cloud
ERP
ETL
Informatica
Kafka
Oracle
Python
Spark
SQL
Tableau
🕒 April 9
Senior Technical Product Manager defining AI Data Platform roadmap for Aledade. Collaborating with AI engineers and clinical leadership to support value-based care workflows.
AWS
Azure
Cloud
Google Cloud Platform
🕒 April 7
Data Engineer III at Wayvia leading development and maintenance of data infrastructure and tools. Ensuring data integrity while driving strategic direction of data initiatives.
Airflow
Java
Python
SQL
🕒 April 5
Founding Data Engineer responsible for building the data infrastructure at Neuroscale AI. Designing and maintaining scalable data systems to support AI-driven products.
AWS
Cloud
Distributed Systems
ElasticSearch
ETL
Postgres
Python
SQL
Terraform
TypeScript
🕒 April 4
Sr. Manager leading Data Service team at Mercury Insurance. Partnering with Engineering for scalable data-driven technology implementation.
🇺🇸 United States – Remote
💵 $128.1k - $252.2k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
Informatica
Kafka
Python
SQL