Data Operations, Principal

Miami, FL

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: On-site — work setting source
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.
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Employment: Not stated

What you’ll work on

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.

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.

From the employer’s posting

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.

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.

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.

What you’ll bring

All qualifications

Core experience

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.

Preferred experience

3+ years of experience in data engineering, software engineering, or a related field.
Experience with dbt, data modeling, data marts, metadata, lineage, or semantic layers.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
Experience with Cloud Run, Artifact Registry, IAM, Secret Manager, Docker, or service accounts.

Qualification wording

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.

3+ years of experience in data engineering, software engineering, or a related field.

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.

Education & alternatives

- 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.

- 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.

About Hut 8

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida.

In the employer’s words · Read in context

Apply at Hut 8

Posting record

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Status in our records: Live
First seen by us: Sep 3, 202662 days ago
Recorded sightings: 37
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 62

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Hut 8 is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Bash
Python
SQL
BigQuery
dbt
Docker
Grafana
Metabase
PostgreSQL
Snowflake
Tableau
Airflow
GCP
Google Cloud Storage

Where the posting names them

- Familiarity with Git, GitHub, pull requests, automated testing, and CI/CD. - Linux and Bash familiarity. - Experience integrating REST APIs, SFTP, scheduled files, or databases.

- 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.

- 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.

- 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.

- 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 Airflow or Google Cloud Composer. - Experience with BigQuery, Google Cloud Storage, and Snowflake. - Familiarity with Git, GitHub, pull requests, automated testing, and CI/CD.

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 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 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.

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

- Experience operating production data pipelines. - Experience with Airflow or Google Cloud Composer. - Experience with BigQuery, Google Cloud Storage, and Snowflake.

- Experience operating production systems and data pipelines. - Experience with Airflow or Google Cloud Composer. - Experience with BigQuery, Google Cloud Storage, and Snowflake.

- 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

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.

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