Financial Data Engineer

Quebec, Quebec, Canada
Remote
Posted Oct 24, 2026
1 position

Opens LinkedIn

Employment type: Full-time
Experience level: Entry, Junior · 0+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Seniority: Entry level

Job summary

Design, build, and maintain data pipelines, ETL workflows, and data warehouses or marts to support financial reporting, analytics, dashboards, and decision-making. Ensure financial data quality and integrity, troubleshoot and improve workflows, document solutions, and contribute to data governance and security.

Job details

Company Description Rockland Tech Hub is a technology solutions provider that helps startups, growing businesses, and enterprises modernize systems, streamline operations, and build secure, scalable digital platforms. The company delivers reliable IT services, intelligent automation, custom software development, web and mobile applications, e-commerce solutions, software testing, branding support, and IT staffing services. Its teams combine technical expertise with a practical understanding of business needs to create solutions that improve efficiency, strengthen performance, and support sustainable growth. Rockland Tech Hub focuses on responsive websites, custom business applications, workflow automation, quality assurance, and access to skilled IT professionals, offering future-ready solutions aligned with client goals. Role Description The Financial Data Engineer will design, build, and maintain data pipelines and architectures that support financial reporting, analytics, and decision-making. In this full-time remote role, the individual will work closely with finance, analytics, and engineering teams to collect data from multiple sources, implement robust ETL processes, and optimize data models for performance and accuracy. The role involves developing and managing data warehouses or data marts, ensuring data quality and integrity, and creating reliable datasets for dashboards and regulatory or management reporting. The Financial Data Engineer will also troubleshoot data issues, enhance existing data workflows, document solutions, and contribute to improvements in data governance and security for financial data assets. Qualifications Data engineering skills, including experience designing and maintaining data pipelines and working with large, complex financial datasets. Data modeling capabilities to structure financial data for reporting, analytics, and integration with downstream applications. Extract Transform Load (ETL) expertise to build, optimize, and monitor ETL workflows across diverse financial and operational data sources. Data warehousing experience in architecting, implementing, and managing data warehouses or data marts in cloud or on-prem environments. Data analytics skills to translate financial data into actionable insights and support dashboards, KPI tracking, and ad hoc analysis. Proficiency with SQL and one or more programming languages commonly used in data engineering (e.g., Python, Scala, or Java). Experience with modern data platforms and tools (e.g., relational databases, cloud data services, orchestration tools, and version control). Understanding of financial concepts, reports, and workflows; experience in fintech or financial services is an advantage. Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively in a remote, cross-functional team environment.

What you’ll do

Requirements

Requires data engineering and data modeling experience, ETL and data warehousing expertise, SQL, and proficiency in at least one programming language such as Python, Scala, or Java. A related bachelor’s degree or equivalent practical experience is requested, along with financial data knowledge, strong problem-solving skills, attention to detail, and effective remote collaboration.