Data Engineer, Canoe

$110-140k

Salary given is for NYC Hybrid applicants, salary may vary by location.

SQL

AWS

Kafka

Postgres

Airflow

Redshift

Snowflake

dbt

Senior and Expert level

New York

Remote from US

More information about location

AI platform for alternative investments

Posted today

AI platform for alternative investments

101-200 employees

FintechB2BArtificial IntelligenceInvestingSaaSCapital Markets

Posted today

$110-140k

Salary given is for NYC Hybrid applicants, salary may vary by location.

SQL

AWS

Kafka

Postgres

Airflow

Redshift

Snowflake

dbt

Senior and Expert level

New York

Remote from US

More information about location

101-200 employees

FintechB2BArtificial IntelligenceInvestingSaaSCapital Markets

Company mission

To unlock efficiencies in alternative investment processes by introducing purpose-built automation into the workflows of institutional investors, asset servicers, capital allocators and wealth managers.

Job

Company

Role

Who you are

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

What the job involves

We are seeking a Data Engineer to join our Data Engineering team
This team is building the data foundations of Canoe’s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years
You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team’s future direction
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

Our take

The internet presents itself as a seemingly infinite source of crucial information, particularly when it comes to financial information to inform smart investment. However, the sheer amount of data available makes it incredibly difficult to mine, aggregate and analyze in a way that is fast and efficient enough to be useful.

Canoe leverages AI technology to automate the analysis of investment data, including document collection, data extraction, categorization and validation. The technology is provided in the form of cloud-based tools, API packages and integrated portals, ultimately aiming to present a unified system in which investors can tackle the inefficiencies of manual investment data analysis.

It's undeniable that other automated data analysis services are available, but the unified nature of Canoe makes it stand out as a solution with a lot of potential. Off of 2024's Series C funding, the company is further optimising and developing its product offerings.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

48% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (2 rounds)

Jul 2024

$36m

SERIES C

Feb 2023

$25m

SERIES B

Total funding: $61m

Company benefits

Intracompany committees
Team based strategic planning
Group brainstorming sessions
Health/Dental/Vision Benefits
Life Insurance
Wellness Programs
Commuter Benefits
Company Outings
Happy Hours (Club Canoe) are hosted once a month, and impromptu happy hours are sprinkled in between!
Education reimbursement
Onsite and virtual training courses
Attendance at job related conferences and seminars
Monthly Lunch and Learns
Cross functional training encouraged
Promote from within
Customized development tracks
401(K)
Company Equity
Performance Bonus
Unlimited PTO
Paid Holidays

Company HQ

Canal Street, New York, NY

Leadership

Jason Eiswerth

(CEO)

Extensive experience in financial services and business development. Held various Board positions and served as Managing Director at firms such as Nima Capital.

Salary benchmarks

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