Data Engineer

Join our rapidly growing team as a Data Engineer. In this role, you will design, build, and evolve scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization. You will collaborate with data architects, analysts, data scientists, and cross-functional stakeholders to deliver trusted data assets supporting a wide range of business initiatives. This position offers the opportunity to enhance a modern data platform and apply modern software engineering practices.

• Design, build, and evolve scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization.
• Collaborate with data architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions and support reporting and analytics requirements.
• Write maintainable, well-documented, and testable code; participate in code reviews; and leverage AI-assisted development tools to improve quality and efficiency.
• The ideal candidate is a hands-on engineer with strong experience building and maintaining data pipelines, and a passion for delivering robust data solutions that enable analytics and business decision-making
• Prior experience in financial services or regulated environments is a plus
• 2–4 years of professional experience in Data Engineering, Data Warehousing, or

related roles

• Strong hands-on experience with Python and SQL for building scalable data

pipelines and transformation logic

• Experience with Apache Spark, Parquet, and Azure Databricks, including

Databricks workflows, Delta Lake, Delta Sharing, and Unity Catalog

• Strong SQL expertise including performance tuning, indexing, partitioning, query

optimization, and stored procedure development

• Solid understanding of ETL/ELT methodologies, data warehousing principles,

and modern data engineering best practices

• Experience designing and implementing data models to support analytics,

reporting, and operational use cases

• Experience supporting or working with BI tools such as Sisense (or similar

platforms)

• Experience with CI/CD pipelines and version control practices (e.g., GitLab,

Jenkins, or equivalent)

• Experience working in fast-paced product environments with an emphasis on

delivery, maintainability, and minimizing technical debt

• Strong communication skills with the ability to collaborate across technical and

non-technical stakeholders

• Experience building lightweight data applications or internal tools using any of

• the following frameworks such as Streamlit, Dash, Flask, Gradio, Shiny, or
• Node.js

• Ability to navigate ambiguity, prioritize effectively, and adapt to changing

business needs