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Appfire is a remote-first software company with 800+ employees across 28 countries, built on 20 years of empowering teams and offering flagship products like Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. The company is focusing on a mature, high-performing data platform and is hiring a Senior Data Engineer to own core infrastructure and shape the data ecosystem, including evolving the firelake data lake on AWS and Snowflake with AI-driven development practices. Responsibilities include end-to-end solution lifecycle, building and scaling ETL/ELT pipelines with Python and Airflow, custom data integrations, pragmatic architecture, data ingestion and quality, and leading 3-5 cross-department projects with governance and security. Requirements are 5+ years in data or software engineering, expertise in Snowflake, advanced SQL, Python, AWS, Terraform and Docker, Airflow/dbt, strong communication and leadership, and a track record of delivering scalable data products; bonuses include MLOps and applied AI experience. Benefits include equity, 25 days of PTO (30 after 5 years), comprehensive health coverage, a CAD 600 annual sport allowance, three CSR volunteering days per year, and a commitment to equal opportunity.

Appfire is a remote-first software company with 800+ employees across 28 countries, offering flagship products like Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture, with customer stories available on their site. The company is seeking a full-time Senior Analytics Engineer to build and activate a company-wide data asset in Snowflake, integrating data sources, testing connections, and delivering new metrics for a trusted analytics layer. Responsibilities include designing and launching data models and pipelines with DBT and Snowflake, defining metrics and dimensions for self-service analysis, and collaborating with Analytics Engineers, Data Engineers, Analysts and Business Partners to enable impactful decision-making. Requirements include 5+ years of experience, expert SQL, Python and DBT, strong data warehousing knowledge, self-service analytics, and the ability to manage concurrent projects; preferred qualifications include DBT experience, data wrangling, cloud platforms, JSON and semi-structured data, and experience with BI, ML analytics, or marketing analytics. Benefits include equity eligibility, 25 days of PTO (30 after 5 years), comprehensive health coverage, life and disability insurance, a CAD 600 yearly sport allowance, 3 CSR volunteering days per year, and a commitment to equal opportunity employment.