Principal, Data Operations

ABOUT HUT 8

Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one.

If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place.

The Principal Data Operations builds and operates the systems that move Hut 8’s business and operational data from source systems into reliable, secure, analytics-ready data products. This includes source integrations, API and SFTP ingestion, ETL (Airflow) orchestration, data transformation, warehousing, cloud infrastructure configuration, monitoring, data quality, and production support. This is an individual-contributor role. Principal Data Operations candidates will deliver work within established patterns and grow their ownership of production systems.

Senior candidates will lead complex technical initiatives, improve standards, and provide technical guidance through design and code review.

• Translate business and stakeholder requirements into reliable, well-documented data pipelines and services.
• Build and maintain ingestion from APIs, SFTP endpoints, files, databases, and cloud services, including coordination with external providers.
• Develop and operate Airflow and Google Cloud Composer workflows, including dependencies, retries, backfills, and alerting.
• Model and deliver data across Big Query, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects.
• Support the cloud infrastructure behind data products, including Cloud Run, container images, Artifact Registry, IAM, service accounts, and Secret Manager.
• Design pipelines for idempotency, safe reruns, recoverability, and failure containment, with freshness, reconciliation, schema, and completeness checks.
• Improve observability through logs, dashboards, alerts, and runbooks, and validate that downstream data products are complete and accurate.
• Own production support for data systems, resolving incidents through root-cause analysis and durable corrective actions.
• Apply least-privilege access, secure secrets management, and sensitive-data controls, and support access reviews and data-governance practices.
• Work within Git Hub pull-request, testing, CI/CD, and change-management practices; at the Senior level, lead complex integrations, migrations, reliability initiatives, and technical reviews.

• 3+ years of experience in data engineering, software engineering, Data Ops, or a related field; 5+ years for Senior level.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• Strong Python and SQL skills.
• Experience operating production data pipelines.
• Experience with Airflow or Google Cloud Composer.
• Experience with Big Query, Google Cloud Storage, and Snowflake.
• Familiarity with Git, Git Hub, pull requests, automated testing, and CI/CD.
• Linux and Bash familiarity.
• Experience integrating REST APIs, SFTP, scheduled files, or databases.
• Understanding of data quality, freshness, reconciliation, schema evolution, and monitoring.
• Strong communication and cross-functional collaboration skills.

• 3+ years of experience in data engineering, software engineering, or a related field.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• Strong Python and SQL skills.
• Experience operating production systems and data pipelines.
• Experience with Airflow or Google Cloud Composer.
• Experience with Big Query, Google Cloud Storage, and Snowflake.
• Familiarity with Git, Git Hub, pull requests, automated testing, and CI/CD.
• Experience integrating REST APIs, SFTP, scheduled files, or databases.
• Understanding of data quality, freshness, reconciliation, schema evolution, and…