At a Glance
- Tasks: Design and build scalable data pipelines for tax analytics and reporting.
- Company: Join Valsoft, a dynamic tech company with a collaborative culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a team that values innovation and celebrates success.
- Why this job: Make an immediate impact in a role that blends data engineering and tax analytics.
- Qualifications: 5+ years in data engineering with strong skills in Snowflake and AWS.
The predicted salary is between 123750 - 151250 $ per year.
Valsoft is looking for a Data Analytics Engineer to join our Tax department in Montreal, Quebec, working closely with Tax, Finance, Data Platform teams, and external consultants to build and enhance modern, reliable data, reporting, and analytics capabilities.
ABOUT VALSOFT CORP.: Established in Canada in 2015, Valsoft has grown to a global portfolio of 118+ companies, acquiring and developing vertical market software companies, enabling each business to deliver the best mission-critical solutions for customers in their respective industries. A key tenet of Valsoft’s philosophy is to invest in well-established businesses and foster an entrepreneurial environment that molds companies into leaders in their respective industries.
POSITION DESCRIPTION: We are seeking an experienced Data Analytics Engineer to design and build scalable data pipelines, model tax and related financial data in Snowflake, integrate external systems through APIs, and develop applications and AI-assisted tools that streamline tax analytics and reporting. Working closely with Tax and Finance stakeholders, you will translate complex business requirements into clean, well-governed, production-grade data products that support efficient decision-making and reporting. This is a full-time, office-based position in Montreal, Quebec, reporting to the Tax Department.
KEY RESPONSIBILITIES:
- Design, build, and maintain scalable data pipelines that ingest, transform, and deliver tax and financial data from multiple source systems.
- Develop and optimize data models and transformations in Snowflake using dbt, following software engineering best practices for modularity, testing, and documentation.
- Build and manage API integrations with internal platforms and third-party systems to automate data exchange for tax workflows.
- Leverage AWS services, including S3, Lambda, Glue, and Step Functions, to orchestrate, monitor, and secure data workloads.
- Develop internal applications and tools that put curated data in the hands of Tax users, from lightweight web applications to automated reporting solutions.
- Apply AI/ML and LLM-based techniques to automate document processing, classification, anomaly detection, and other tax analytics use cases.
- Use version control (Git) and CI/CD workflows for code, transformations, and infrastructure changes.
- Implement data quality checks, reconciliation controls, and monitoring to ensure the accuracy and reliability of tax-critical datasets.
- Communicate with internal and external stakeholders to understand key business requirements related to tax data and translate them into technical solutions; partner with Tax, Finance, and Data Platform teams to prioritize work and deliver iteratively.
- Document pipelines, models, and processes while contributing to team standards and knowledge sharing.
REQUIRED/MINIMUM QUALIFICATIONS:
- 5+ years of experience in data engineering, analytics engineering, or a closely related role.
- Strong hands-on experience with Snowflake, including data modeling, performance tuning, security, and cost optimization.
- Proficiency with dbt for transformation, testing, and documentation of data models.
- Proven experience building and operating production-grade data pipelines, including batch and/or streaming workloads.
- Working experience with AWS cloud services for data and application workloads.
- Experience designing and consuming REST APIs and building system-to-system integrations.
- Solid application development skills using technologies such as Python, Node.js, and/or web frameworks to build internal tools and services.
- Hands-on experience with AI development, including integrating LLMs or ML models into workflows or building AI-assisted features.
- Strong command of Git and collaborative development practices, including branching, code review, and CI/CD.
- Advanced SQL and Python skills, with strong data analysis fundamentals.
- Strong verbal and written communication skills, with the ability to engage internal and external stakeholders, gather and clarify business requirements, and explain technical concepts to non-technical audiences.
ADDITIONAL/PREFERRED QUALIFICATIONS:
- Finance or tax domain knowledge, including an understanding of financial statements, tax data, compliance reporting, or ERP data such as NetSuite.
- Experience with BI and semantic modeling tools.
- Familiarity with data orchestration tools such as Airflow or Dagster and infrastructure-as-code tools such as Terraform.
- Experience working in a multi-entity or M&A-driven environment with heterogeneous source systems.
- Knowledge of data governance, security, and privacy practices for sensitive financial data.
Ready to join a collaborative and innovative team where you can make an immediate impact?
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer employer: Valsoft Corporation
ValPay offers an exceptional work environment for those looking to blend accounting with cutting-edge technology in a fast-paced, high-growth setting. Employees benefit from a clear growth path, opportunities to specialize in AI tools, and the chance to make a real impact within a close-knit team recognized on Deloitte's Technology Fast 50. Located in Montreal, the company fosters a culture of ownership and innovation, making it an ideal place for professionals eager to advance their careers while contributing to transformative financial solutions.
