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This position was posted on April 10, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Blue J, Inc. logo

Senior Data Engineer

Job Overview

Location

Remote, Ontario

Job Type

Full-time

Category

Data Engineer

Date Posted

April 10, 2026

Full Job Description

đź“‹ Description

  • • Senior Data Engineer role at Blue J Inc., a leading generative AI solution for tax professionals, responsible for building and governing the analytics foundation that powers decision-making across the company.
  • • Day-to-day responsibilities include owning and maintaining the Snowflake data warehouse, managing Fivetran ingestion pipelines, building and maintaining dbt models, defining data standards, designing gold-level data marts, partnering with stakeholders on analytics requests, and monitoring Snowflake costs and optimization.
  • • Blue J is a well-funded B2B SaaS company experiencing rapid growth after a $122M Series D funding round, with a mission-driven, collaborative culture focused on customer success and innovation in tax technology.
  • • The role offers the opportunity to shape a scalable data platform from the ground up, gain visibility and impact across the organization, work with experienced leadership, and develop expertise in data governance, platform enablement, and cross-functional stakeholder management in a high-growth AI-driven environment.

Skills & Technologies

REST
Senior
Remote

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About Blue J, Inc.

Blue J is a legal technology company that provides AI-powered tools for legal professionals. Their platform analyzes vast amounts of legal data, including case law, statutes, and regulations, to offer predictive insights and strategic guidance. Blue J aims to democratize access to sophisticated legal analysis, enabling lawyers and legal teams to make more informed decisions, improve case outcomes, and enhance efficiency. The company operates within the rapidly growing legal tech industry, leveraging artificial intelligence and machine learning to transform traditional legal research and practice.

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