Data Engineer - Finance & Analytics
$187.2k - $197.6kRandstad Digital
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.
- 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.
- 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 37 week of 2026
$90 - $95 per hour
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