Data Operations, Principal
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Before you apply
LocationUnited States, Miami, FL
Work modeon-site
Typefull-time
SeniorityLead
Experience3+ yrs
DepartmentTechnology
Company size501–1,000 people
PostedSep 2, 2026 · 2mo ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
3+ years of experience in data engineering, software engineering, DataOps, 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 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
3+ years of experience in data engineering, software engineering, or a related field
Experience operating production systems and data pipelines
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 Grafana, Tableau, Metabase, or similar reporting tools
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
Skills
Python
SQL
Airflow
Google Cloud Composer
BigQuery
Google Cloud Storage
Snowflake
dbt
Cloud Run
Artifact Registry
IAM
Secret Manager
Docker
Git
GitHub
REST APIs
SFTP
Linux
Bash
PostgreSQL
Cloud SQL
Grafana
Tableau
Metabase
CI/CD
About the company
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.
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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
•
3+ years of experience in data engineering, software engineering, DataOps, 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 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 Grafana, Tableau, Metabase, or similar reporting tools.
•
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.