Data Engineer
December 5
Description
• Design, build, and maintain robust data systems, including data ingestion pipelines, orchestration processes, and integration of new data sources. • Be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making. • Maintain and troubleshoot a modern data stack and own the infrastructure, ensuring high data quality and availability for our core data sets. • Ingest, clean and organize raw data in a way that makes sense for both you and the organization. • Shape the data model at Hive, which will advance our broader analytics strategy and support in establishing norms and best practices for data governance across Hive. • Liaise between various teams to translate business requirements into proper data capture and schema design. • Support folks out in the business to get the insights they need, creating dashboards, coaching citizen analysts etc. • Lead data projects from ingestion to reporting, showing your ability to manage scope and work with ambiguity. • Proactively identify opportunities to optimize the data stack and introduce new tools or technologies as required.
Requirements
• 3+ years of experience as a data engineer, full-stack data analyst, or analytics engineer. • Experience working E2E in a modern data stack (data ingestion to reverse ETL & reporting), preferably at a startup or scaleup. • Strong SQL skills. • Experience writing Python data pipelines (Dagster, Airflow, Prefect). • Experience with Modern Data Stack data warehouses (e.g. Snowflake, BigQuery). • Experience working with a variety of complex data sources. Our toolset currently includes Salesforce, Stripe, Intercom, Vitally, Google Analytics, FullStory. • Proven ability to translate business needs into analytical frameworks. • Skilled at developing efficient self-service analytics platforms, data marts/sets & dashboards and designing effective data models. • Have an appreciation of data governance principles including appropriate handling of personal data, data lineage, data cataloguing, and compliance. • Excellent communication skills, spoken and written, with both technical and non-technical stakeholders. • Comfortable working independently and autonomously in an ambiguous environment • You index for impact, you’re not afraid to make a decision without all the information, and you like to have fun while doing it. • You have a knack for troubleshooting and creating solutions when systems or tools break. • You are excited about the opportunity to shape the future of our data operations in a drawing, fast-paced company
Benefits
• Meaningful salary and equity: you're rewarded based on impact • Fully remote: Work fully remote in Canada, where you’re most productive whether that be from your house, or elsewhere. We just ask that you have legal Canadian work authorization • Flexible work hours: Choose your 9-5 as long as it’s not disruptive to your role, team, and Hive • Health + Insurance: Comprehensive health & dental coverage with a parental leave top-up program • Unlimited vacation/PTO: So you can be happy and healthy!
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