Data Engineer - Finance & Analytics

Salary: $187,200 - 197,600 per year
Requirements:
We need expert-level proficiency in SQL, Python, and Power BI.
We are looking for hands-on experience building solutions in Microsoft Fabric or similar enterprise data engineering platforms.
We require proven experience with ETL/ELT pipeline development, dimensional data modeling, and rigorous data validation practices.
We need the ability to connect technical and non-technical stakeholders across Finance and IT.
We value strong analytical thinking, problem-solving, and troubleshooting skills with excellent attention to detail.

Preferred: prior experience in data engineering, data science, or BI within Finance, Fintech, or corporate analytics.

Preferred: strong understanding of Data Lakehouse architectures and multi-layer data pipelines using Bronze/Silver/Gold patterns.

Preferred: practical background in financial reporting structures, AR workflows, and performance metric analysis.
We require a bachelors degree.

Responsibilities

We partner closely with Finance leadership and business stakeholders to turn complex needs into scalable data models and analytical transformations.
We prototype, build, and test ETL/ELT pipelines before IT deployment, ensuring they align with Finance operational and analytical needs.
We design, optimize, and document finance data models in Microsoft Fabric and Power BI to support enterprise reporting.
We lead data validation and ongoing refinement for key financial workflows and operational reporting models.
We collaborate with core IT engineering teams to move validated models into production-ready ETL pipelines.
We proactively audit, identify, and resolve issues related to data quality, lineage, and transformation logic.

Technologies

ETL
Fabric
Support
Power BI
Python
SQL
More:
We are a finance and technology-focused team seeking a Data Engineer for Finance Systems & Analytics on a contract basis in a telecommute setting, with work hours from 8am to 5pm and an hourly pay range of $90 to $95. In this role, we bridge Finance and Information Technology to transform complex business data needs into scalable technical solutions that improve data accuracy, reporting efficiency, and analytical modeling. We also offer a comprehensive benefits package that may include medical, prescription, dental, vision, AD&D, life insurance, short-term disability, and a 401K plan, subject to eligibility. last updated 40 week of 2026