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Data Engineer - Finance & Analytics

$187.2k - $197.6k
Full-time

Randstad 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.
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 37 week of 2026

Vacancy posted 3 days ago
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