{"id":4043611,"url":"https://alion.io/job/hut-8-principal-data-engineering-data-ops","title":"Principal, Data Engineering (Data Ops)","company":{"id":47563,"name":"Hut 8","domain":"hut8.com","url":"https://alion.io/company/hut-8","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.444,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Miami, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"Metabase","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-10T20:31:40Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T23:03:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nWe 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.\nABOUT THE ROLE\nThe 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.\nWhat You'll Do\nTranslate business and stakeholder requirements into reliable, well-documented data pipelines and services.\n\nBuild and maintain ingestion from APIs, SFTP endpoints, files, databases, and cloud services, including coordination with external providers.\n\nDevelop and operate Airflow and Google Cloud Composer workflows, including dependencies, retries, backfills, and alerting.\n\nModel and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects.\n\nSupport the cloud infrastructure behind data products, including Cloud Run, container images, Artifact Registry, IAM, service accounts, and Secret Manager.\n\nDesign pipelines for idempotency, safe reruns, recoverability, and failure containment, with freshness, reconciliation, schema, and completeness checks.\n\nImprove observability through logs, dashboards, alerts, and runbooks, and validate that downstream data products are complete and accurate.\n\nOwn production support for data systems, resolving incidents through root-cause analysis and durable corrective actions.\n\nApply least-privilege access, secure secrets management, and sensitive-data controls, and support access reviews and data-governance practices.\n\nWork within GitHub pull-request, testing, CI/CD, and change-management practices; at the Senior level, lead complex integrations, migrations, reliability initiatives, and technical reviews.\n\nABOUT YOU\n3+ years of experience in data engineering, software engineering, DataOps, or a related field; 5+ years for Senior level.\n\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.\n\nStrong Python and SQL skills.\n\nExperience operating production data pipelines.\n\nExperience with Airflow or Google Cloud Composer.\n\nExperience with BigQuery, Google Cloud Storage, and Snowflake.\n\nFamiliarity with Git, GitHub, pull requests, automated testing, and CI/CD.\n\nLinux and Bash familiarity.\n\nExperience integrating REST APIs, SFTP, scheduled files, or databases.\n\nUnderstanding of data quality, freshness, reconciliation, schema evolution, and monitoring.\n\nStrong communication and cross-functional collaboration skills.\n\nPREFERRED QUALIFICATIONS\n3+ years of experience in data engineering, software engineering, or a related field.\n\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.\n\nStrong Python and SQL skills.\n\nExperience operating production systems and data pipelines.\n\nExperience with Airflow or Google Cloud Composer.\n\nExperience with BigQuery, Google Cloud Storage, and Snowflake.\n\nFamiliarity with Git, GitHub, pull requests, automated testing, and CI/CD.\n\nExperience integrating REST APIs, SFTP, scheduled files, or databases.\n\nUnderstanding of data quality, freshness, reconciliation, schema evolution, and monitoring.\n\nStrong communication and cross-functional collaboration skills.\n\nNice to Haves: \nExperience with dbt, data modeling, data marts, metadata, lineage, or semantic layers.\n\nExperience with Cloud Run, Artifact Registry, IAM, Secret Manager, Docker, or service accounts.\n\nExperience with Cloud SQL/PostgreSQL or time-series data.\n\nExperience with Grafana, Tableau, Metabase, or similar reporting tools.\n\nExperience with finance, operational telemetry, infrastructure monitoring, or other time-series data.\n\nExperience with data governance, access reviews, and sensitive-data handling.\n\nExperience leading technical initiatives or mentoring peers for the Senior level.\n\nABOUT THE WORK ENVIRONMENT\nThis role is in office at our corporate headquarters in the Brickell area of Miami, Florida. 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