Hut 8

Bitcoin mining and enterprise HPC infrastructure

Principal Data Engineering - Data Ops

Data EngineeringPosted on Nov 10

Full-timeMiami, FL, USANo salary listed

About the Job

Requirements

At least 5 years of experience in data engineering, software engineering, DataOps, or a related field.
A 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 BigQuery, Google Cloud Storage, and Snowflake.
Familiarity with Git, GitHub, pull requests, automated testing, and CI/CD.
Familiarity with Linux and Bash.
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.

Responsibilities

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 BigQuery, 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 GitHub pull-request, testing, CI/CD, and change-management practices.
At the Senior level, lead complex integrations, migrations, reliability initiatives, and technical reviews.

Desired Qualifications

Experience with dbt, data modeling, data marts, metadata, lineage, or semantic layers.
Experience with Cloud Run, Artifact Registry, IAM, Secret Manager, Docker, or service accounts.
Experience with Cloud SQL/PostgreSQL or time-series data.
Experience with finance, operational telemetry, infrastructure monitoring, or other time-series data.
Experience with data governance, access reviews, and sensitive-data handling.
For the Senior level, experience leading technical initiatives or mentoring peers.

Hut 8 brings exceptional people together to solve the world’s most consequential problems at the intersection of energy and technology. Today, that means building infrastructure for AI at a pace and scale without precedent. Tomorrow, it could mean powering a new era of innovation through robotics, advanced manufacturing, or an industry that does not yet exist. Whatever the technology demands, our ambition holds: to build the defining physical infrastructure company of our generation.

We look for thinkers and builders with the rigor, humility, and ownership to solve problems at this scale. They start from zero and choose truth over tradition. They back the best idea, whatever its source. They bet on themselves and embrace the hard truths that force them to grow. Our commitment is to keep the path from idea to execution short, trust them with critical decisions and the work that follows, and surround them with colleagues whose curiosity extends beyond their expertise.

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

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 BigQuery, 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 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

5+ years of experience in data engineering, software engineering, DataOps, 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 data pipelines.
Experience with Airflow or Google Cloud Composer.
Experience with BigQuery, Google Cloud Storage, and Snowflake.
Familiarity with Git, GitHub, 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.

PREFERRED QUALIFICATIONS

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 BigQuery, Google Cloud Storage, and Snowflake.
Familiarity with Git, GitHub, 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 monitoring.
Strong communication and cross-functional collaboration skills.

Nice to Haves:

Experience with dbt, data modeling, data marts, metadata, lineage, or semantic layers.
Experience with Cloud Run, Artifact Registry, IAM, Secret Manager, Docker, or service accounts.
Experience with Cloud SQL/PostgreSQL or time-series data.
Experience with finance, operational telemetry, infrastructure monitoring, or other time-series data.
Experience with data governance, access reviews, and sensitive-data handling.
Experience leading technical initiatives or mentoring peers for the Senior level.

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.

About the Company

Hut 8

Bitcoin mining and enterprise HPC infrastructure

Hut 8 operates in digital asset mining and high-performance computing infrastructure. It mines Bitcoin at scale with vertically integrated operations, owning mining hardware and managing power and facilities to control costs and profitability. In addition to mining, Hut 8 offers enterprise-grade technology services, including cloud and colocation data centers and high-performance computing infrastructure designed for security, reliability, and scalability. The company’s business model blends mining with enterprise data-center services to reduce cryptocurrency market risk while capitalizing on demand for compute-at-scale and digital infrastructure. Hut 8 differentiates itself by owning and operating its own energy and infrastructure, allowing tighter cost control, and by serving enterprise clients with secure, scalable data-center solutions alongside its mining activities.

Company size: 201-500
Company stage: IPO
Headquarters: Miami, FL
Founded: 2020

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