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.
ABOUT THE ROLE
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.
What You'll Do
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Translate business and stakeholder requirements into reliable, well-documented data pipelines and services.
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Build and maintain ingestion from APIs, SFTP endpoints, files, databases, and cloud services, including coordination with external providers.
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Develop and operate Airflow and Google Cloud Composer workflows, including dependencies, retries, backfills, and alerting.
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Model and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects.
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Support the cloud infrastructure behind data products, including Cloud Run, container images, Artifact Registry, IAM, service accounts, and Secret Manager.
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Design pipelines for idempotency, safe reruns, recoverability, and failure containment, with freshness, reconciliation, schema, and completeness checks.
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Improve observability through logs, dashboards, alerts, and runbooks, and validate that downstream data products are complete and accurate.
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Own production support for data systems, resolving incidents through root-cause analysis and durable corrective actions.
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Apply least-privilege access, secure secrets management, and sensitive-data controls, and support access reviews and data-governance practices.
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Work within GitHub pull-request, testing, CI/CD, and change-management practices; at the Senior level, lead complex integrations, migrations, reliability initiatives, and technical reviews.
ABOUT YOU
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3+ years of experience in data engineering, software engineering, DataOps, or a related field; 5+ years for Senior level.
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Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
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Strong Python and SQL skills.
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Experience operating production data pipelines.
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Experience with Airflow or Google Cloud Composer.
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Experience with BigQuery, Google Cloud Storage, and Snowflake.
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Familiarity with Git, GitHub, pull requests, automated testing, and CI/CD.
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Linux and Bash familiarity.
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Experience integrating REST APIs, SFTP, scheduled files, or databases.
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Understanding of data quality, freshness, reconciliation, schema evolution, and monitoring.
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Strong communication and cross-functional collaboration skills.
PREFERRED QUALIFICATIONS
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3+ years of experience in data engineering, software engineering, or a related field.
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Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
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Strong Python and SQL skills.
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Experience operating production systems and data pipelines.
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Experience with Airflow or Google Cloud Composer.
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Experience with BigQuery, Google Cloud Storage, and Snowflake.
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Familiarity with Git, GitHub, pull requests, automated testing, and CI/CD.
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Experience integrating REST APIs, SFTP, scheduled files, or databases.
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Understanding of data quality, freshness, reconciliation, schema evolution, and monitoring.
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Strong communication and cross-functional collaboration skills.
Nice to Haves:
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Experience with dbt, data modeling, data marts, metadata, lineage, or semantic layers.
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Experience with finance, operational telemetry, infrastructure monitoring, or other time-series data.
ABOUT THE WORK ENVIRONMENT
This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
WHAT MAKES HUT 8 A GREAT PLACE TO WORK
Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.
At Hut 8, you will have the opportunity to:
▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting
▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government
▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team
▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure
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