Unfortunately, no visa sponsorship or transfer will be provided with this position. If you're up for the challenge, we'd love to hear from you. When you click apply, there will be an application form for you to complete. It should take around 5 to 10 minutes to complete.

Cornspring is an innovative start-up FinTech company, with a mission to empower Family Offices and Asset Owners with real-time, AI driven data intelligence and portfolio insights.

The tools we are building are solving one of the most complex and valuable challenges in Finance. Our clients operate at the highest levels of global finance, managing billions in assets. Yet, legacy systems fail them: slow, fragmented, and outdated.

Cornspring is redefining Family Office services by leveraging state-of-the-art generative AI and Large Language Models to provide unparalleled insights and efficiency to Family Office investment and accounting data.

This is a high-ownership environment, and we need exceptional engineers who bring a mix of talent and passion to join us on our incredibly exciting journey.

We are currently looking for a top-tier Senior Data Engineer with deep expertise in Python programming in a financial context. This is a pivotal role, where you will be tackling technically challenging problems and working with cutting edge AI technology.

You will be reporting to the Head of Data Operations and will be working alongside a team of talented engineers.

You will be responsible for developing and maintaining our ETL pipelines, handling diverse data formats, and ensuring data quality and consistency.
You'll work on automating data processing workflows while implementing robust validation and error handling mechanisms to maintain data integrity.
You will conduct testing on data movement, transformation code, and data components to ensure integrity, accuracy, and high-quality deliverables for all data processing.
You will design and implement data solutions for new initiatives and provide continuous oversight for existing solutions to improve quality and performance.
You will assess and integrate new data sources into pipelines to meet evolving business needs.
You’ll provide technical design and coding assistance to junior team members, ensuring the successful delivery of initiatives.

The role requires a strong expertise in Python data manipulation libraries and a solid understanding of financial data structures.
University degree in Computer Science, Software Engineering or equivalent.
Solid data engineering experience.
Experience designing and maintaining ETL pipelines, integrating data from multiple sources (including APIs).
Experience working with remote teams.
Knowledge and exposure to Azure and / or AWS.

Competitive salary.
Hybrid working: we work from a beautiful office in Manhattan 2 days a week.
Being part of a revolutionary movement in Family Office technology.
Working with cutting-edge AI and data technologies.
Challenging projects that make a real impact to our sector.

Cornspring

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