Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Principal, Data Engineering (Data Ops)
- 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.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingThe 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.
Build and maintain ingestion from APIs, SFTP endpoints, files, and databases
Develop and operate Airflow and Cloud Composer workflows with retries, backfills, and alerting
Model and deliver data across BigQuery, Snowflake, Cloud SQL, and GCS using dbt
Own production support, resolving incidents through root-cause analysis
Design pipelines for idempotency, safe reruns, and data quality checks
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.
Build and maintain ingestion from APIs, SFTP endpoints, files, databases, and cloud services
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.
Own production support for data systems, resolving incidents through root-cause analysis and durable corrective actions.
Design pipelines for idempotency, safe reruns, recoverability, and failure containment, with freshness, reconciliation, schema, and completeness checks.
What you’ll bring
All qualificationsCore experience
- 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.
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
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.
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
- 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.
- 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
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 14, 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
Time since we first saw it
Day 3
Early. Similar jobs usually come down between day 6 and day 56.
From 13,701 similar postings that came down. Coming down is not always a hire.
Hut 8 is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- PostgreSQL
- Snowflake
- 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 finance, operational telemetry, infrastructure monitoring, or other time-series data.
- 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.
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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About Hut 8
- People
- About 248 in 2025, up 12% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as HUT.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
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.
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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
-
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Miami
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.