The Opportunity

We're looking for a Data Engineer who can translate the needs of a growing finance business into clean, reliable data systems. You'll work across a range of sources, from Bloomberg feeds to portfolio and accounting systems, and be the person who makes sure the numbers the business relies on are accurate, timely, and well understood.

This is a hands-on build role in an early-stage data function. You'll have real input into how things get structured, but the priority is practical, business-aligned data work over pure infrastructure design.

What You'll Do

Build and maintain data pipelines that support financial reporting, general ledger, and portfolio operations
Ingest and transform data from sources including Bloomberg, Enfusion, REST APIs, and FTP feeds
Partner directly with finance, operations, and risk teams to understand what the data needs to support and build accordingly
Own data quality checks across the pipeline, catching issues before they hit downstream users
Maintain the data dictionary and basic governance standards as the function matures
Monitor pipelines against SLAs and flag problems proactively
Support ad hoc reporting and analysis requests from business stakeholders
Use AI-assisted tools (including Claude-based workflows already in use at the firm) to speed up day-to-day development

What We're Looking For

3+ years of experience in financial services, building or maintaining data pipelines
Strong SQL and Python skills, with the ability to write clean, production-ready code
Experience with a pipeline orchestration tool (Dagster, Prefect, Airflow, or similar); we use Dagster, but tool-specific expertise matters less than solid fundamentals
Comfort working with portfolio, accounting, or trading systems
A track record of working closely with non-technical business stakeholders to translate requirements into data solutions
Genuine interest in data quality and governance
Comfort in an early-stage environment where process is still being defined
Interest in using AI tools to work faster and better

How You Work

You think about the business problem first and the technical solution second
You're the kind of engineer people on the finance and ops side actually want to talk to
You care about getting the data right because you understand why it matters
You are curious about the business behind the data and naturally drawn to understanding why something matters.

What You'll Get

Real ownership over how data supports the business, from financial reporting to portfolio operations
Direct exposure to finance, ops, and risk teams, and a clear line of sight from your work to business decisions
Room to build practical solutions in an early-stage function, without the weight of legacy systems or process
An environment that actively embraces AI-driven workflows and encourages experimentation

Who We Are

Nearwater Capital is a rapidly growing and innovative specialty finance company headquartered in New York City with a global presence and client base. Established in 2017, Nearwater has distinguished itself as a leader in delivering thoughtful, solutions-based financing to some of the largest financial institutions and financial services firms in the world.

Nearwater offers an attractive market compensation and benefits package. As a creative, intellectual capital firm, Nearwater is proud to be 100% work from office.

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