Senior Data Engineer, OnCorps AI

Salary not provided

SQL

Python

JSON

REST API

Azure Databricks

Mid and Senior level

Boston

More information about location

AI agents for financial operations

Be an early applicant

AI agents for financial operations

21-100 employees

FintechB2BArtificial IntelligenceAnalyticsMachine LearningSaaSData Integration

Be an early applicant

Salary not provided

SQL

Python

JSON

REST API

Azure Databricks

Mid and Senior level

Boston

More information about location

21-100 employees

FintechB2BArtificial IntelligenceAnalyticsMachine LearningSaaSData Integration

Company mission

To elevate work and performance by applying AI to handle predictable and laborious calculations, decisions, and tasks.

Job

Company

Role

Who you are

4+ years of relevant experience in data engineering or a related technical field
Strong proficiency in Python, PySpark, SQL and database systems (relational and NoSQL)
Experience with serialized data (JSON, YAML) and strong REST API skills
Understanding of data pipelines and transformations (e.g., filtering, aggregation)
Experience with Databricks, including configuring and running jobs
Proven ability to quickly learn new technologies and concepts
Comfortable working in fast-paced environments and meeting tight deadlines
Preferred experience in middle and/or back-office operations within the financial industry or fund administration
Experience working with LLM tooling (LangChain, Claude Code, etc.) is a plus
If you are passionate about solutions engineering and eager to work in a cutting-edge AI-driven company, we would love to hear from you!

What the job involves

We are looking for an experienced Senior Data Engineer to design, implement and manage robust data pipelines and architecture, ensuring secure and scalable data solutions for our clients
Serve as an owner of highly performant ETL/ELT data pipelines, leveraging Python, PySpark and SQL to ensure data integrity and system scalability
Act as a key technical partner to financial services clients, translating complex data feed and mapping requirements into actionable technical specifications and owning end to end integrations from POC to production
Establish and maintain comprehensive documentation for all data flows and operational practices
Develop and manage robust, scalable data models that serve as the foundation for company-wide analytics and reporting
Configure client-facing applications to align with documented business and technical requirements
Collaborate with other data team members to integrate LLM workflows into data pipelines
Collaborate cross-functionally with Product, Data Science, Customer Success, and Engineering teams to drive the delivery of innovative data solutions that directly contribute to strategic business objectives

Our take

In financial operations, to get perfect oversight on every transaction is unattainable by people. So Oncorps AI supplies an AI-powered platform with the capability to do just this, while also meeting the regulatory requirements of major financial institutions.

The company's agentic solutions are capable of reducing labour and false positives by an impressive 90%, which has enabled Oncorps AI to attract many high-profile clients. The company continues to invest in AI research that will further help reduce costs and minimise financial-related risks.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 6 rounds)

Dec 2025

$55m

GROWTH EQUITY VC

Mar 2022

$9.6m

SERIES B

Total funding: $72.1m

Company HQ

Prudential / St. Botolph, Boston, MA

Leadership

Bob Suh

(Founder & Chair)

Former CTO at Accenture. Also worked as the President of Dell and as a Managing Director at DXC Technology.

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