Data Engineer

About the role

You translate the needs of a growing finance business into clean, reliable data systems, owning the end to end delivery of data that powers critical financial decisions. You will be the person who ensures the numbers the business relies on are accurate, timely, and well understood across finance, operations, and risk. This is a hands on build role in an early stage data function where your input directly shapes how things get structured. The priority is practical, business aligned data work rather than pure infrastructure design, and you are expected to move quickly while maintaining rigor.

Key facts

What you'll do

Build and maintain data pipelines that support financial reporting, general ledger, and portfolio operations with a focus on reliability and clarity.

Ingest and transform data from sources including Bloomberg, Enfusion, REST APIs, and FTP feeds, normalizing structures and handling edge cases.

Partner directly with finance, operations, and risk teams to understand what the data needs to support and to translate those requirements into robust data solutions.

Own data quality checks across the pipeline, implementing monitoring and alerts so issues are caught before they reach downstream users.

Maintain the data dictionary and basic governance standards as the function matures, ensuring documentation stays current and useful.

Monitor pipelines against SLAs and flag problems proactively, taking ownership of on call responsibilities and incident response.

Support ad hoc reporting and analysis requests from business stakeholders, delivering quick turnarounds while maintaining long term maintainability.

Use AI assisted tools, including Claude based workflows already in use at the firm, to speed up day to day development and reduce repetitive work.

Continuously learn about the business context behind the data, asking questions to uncover hidden requirements and improve outcomes.

Communicate progress, trade offs, and roadblocks clearly to both technical and non technical stakeholders, keeping expectations aligned.

Requirements

You have 3 or more years of experience in financial services, building or maintaining data pipelines that support reporting and operations.

You possess strong SQL and Python skills, with the ability to write clean, production ready code that is easy for others to maintain.

You have experience with a pipeline orchestration tool such as Dagster, Prefect, or Airflow, and you understand the fundamentals that make these tools effective even if your strongest experience is with Dagster.

You are comfortable working with portfolio, accounting, or trading systems, understanding the nuances and constraints of financial data.

You have a track record of working closely with non technical business stakeholders to translate requirements into data solutions that actually meet their needs.

You have a genuine interest in data quality and governance, caring about definitions, lineage, and consistency across the organization.

You are comfortable in an early stage environment where process is still being defined and you are expected to contribute beyond a narrowly defined job description.

You have an interest in using AI tools to work faster and better, and you are willing to experiment with new workflows to improve your productivity.

Nice to have

None of the preferred items can be stated because SOURCE contains no such specifications.

Practical notes

The role is full time and based in New York.

The engagement type is not specified in SOURCE, so details on hours or contract terms are not provided here.

Compensation details are omitted because SOURCE does not include specific pay information.

There is no information about travel requirements, visa sponsorship, application deadlines, or other logistical details in SOURCE, so those are not included in this description.

About Nearwater Capital

Nearwater Capital is hiring for Data Engineer. The listing location is New York.

This Data Engineer opening is posted for New York.