Financial Data Engineer: Analytics & Data Pipelines

United States Digital Space LLC; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

United States Digital Space LLC is seeking a data engineering professional to design, build, and scale data pipelines and dashboards powering financial analytics and reporting. You will partner with Treasury Finance, data scientists, and engineers to deliver reliable data products and insights across the organization.

You will own end-to-end data ingestion, modeling, and transformation, while establishing quality standards, tests, monitoring, and SLAs to ensure data freshness and trusted

Qualifications

• 6+ years of full-time experience in Data Engineering, Analytics Engineering, BI Engineering, or related analytical role.
• Proficiency in SQL, including complex query optimization and data modeling.
• Proficiency in Python for data pipeline development, not just scripting.
• Experience with distributed data frameworks like Spark to write and debug data pipelines.
• Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent).
• Proven ability to design, implement, and maintain production-grade data pipelines and dashboards.
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
• Ability to clearly communicate results and drive impact with cross-functional partners.
• Experience owning production data products with defined quality standards, testing, and documentation.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance
• Leverage AI tools (code assistants, LLM-based agents) to accelerate pipeline development, data quality automation, reconciliation, and documentation
• Model and transform raw data into clean, well-documented datasets that serve as the core foundations for decision making for Treasury Finance (e.g. float positions, cash explainability, risk exposures, liquidity management)
• Establish and enforce data quality standards through testing, monitoring, and alerting on pipeline health
• Establish and own data freshness SLAs, operational alerting, and incident response for your data domains - ensuring production reliability for risk and finance critical workflows
• Partner deeply with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products
• Partner deeply with Treasury Finance stakeholders to translate business requirements into data architecture decisions, anticipating needs and helping to drive data strategy
• Build self-service tooling and analytics layer that empower stakeholders to access and explore trusted data autonomously

Skills

SQL

Python for data pipelines

Data modeling

Spark

Airflow

Dashboards

Communication

Tools

Spark

Airflow

Flyte

Job description

United States Digital Space LLC is seeking a data engineering professional to design, build, and scale data pipelines and dashboards powering financial analytics and reporting. You will partner with Treasury Finance, data scientists, and engineers to deliver reliable data products and insights across the organization.

You will own end-to-end data ingestion, modeling, and transformation, while establishing quality standards, tests, monitoring, and SLAs to ensure data freshness and trusted