Data Operations Manager Jobs in Florida
Data Operations Manager jobs in Florida are in steady demand, concentrated in financial services, healthcare, logistics, and technology sectors, with openings at every level from junior data operations analyst through senior manager and director. The busiest hiring metros are Miami, Tampa, and Orlando, where established employers such as Fidelity Investments, AdventHealth, and Ryder System maintain large operations teams. The most sought-after specialties in Florida listings are data pipeline management, CRM operations, and enterprise data governance. Find a role that fits below and apply directly.
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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.
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.
See All 25 Data Operations Manager Jobs in Florida
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Find Data Operations Manager JobsData Operations Manager Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Data Operations Manager Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
What Florida Employers Look For
The qualifications that appear most often in data operations manager jobs across Florida.
- Bachelor's degree in information systems, computer science, or a closely related field
- Three or more years managing data workflows, ETL processes, or database operations teams
- Hands-on experience with SQL, Python, or a major cloud data platform such as AWS or Azure
- Demonstrated ability to lead cross-functional teams and coordinate with business stakeholders
- Familiarity with data governance frameworks, data quality standards, and compliance requirements
- Experience with CRM, ERP, or business intelligence tools such as Salesforce, SAP, or Tableau
Data Operations Manager Jobs in Florida: Frequently Asked Questions
How do you become a data operations manager in Florida?
Most data operations managers in Florida start with a bachelor's degree in information systems, computer science, or business analytics, then build several years of experience in data analyst, database administrator, or data engineer roles before moving into management. Florida does not require a state-issued license for this role. Certifications such as the Certified Data Management Professional credential are widely recognized by Florida employers and strengthen a candidacy for management positions.
How much do data operations managers make in Florida?
Data operations managers in Florida earn a median of about $168,470 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $100,390 for the lowest 10% to over $264,460 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data operations managers in Florida?
Employers hiring data operations managers in Florida right now include Tesla, Oscar Management Corporation, and BNY, based on current listings on Migrate Mate as of November 2026. Florida's large financial services, healthcare, and logistics sectors consistently generate the steadiest volume of data operations management openings in the state.
Which Florida cities have the most data operations manager jobs?
Tampa, Orlando, and Florida have the most data operations manager openings in Florida. Miami leads because of its concentration of financial services, international trade, and tech firms, while Tampa and Orlando support high volumes of hiring through large healthcare systems, insurance companies, and the corporate headquarters of several national logistics and retail brands.
Are there remote data operations manager jobs in Florida?
Yes, and more than many management roles, because data operations work is largely conducted on cloud platforms and enterprise software rather than on a physical shop floor. About 56% of data operations manager openings tied to Florida are remote or hybrid as of November 2026, making it one of the more flexible management tracks in the state. The most remote-eligible functions tend to be data pipeline oversight, reporting operations, and vendor coordination.
How can I get hired as a data operations manager in Florida with little or no experience?
The most realistic entry path is to start in a data analyst, data coordinator, or database administrator role at a large Florida employer and move into operations management after demonstrating project leadership. Healthcare systems such as AdventHealth and HCA Florida, along with financial firms concentrated in Miami and Tampa, regularly hire entry-level data analysts into structured rotation programs. Building proficiency in SQL and a cloud platform, combined with a Certified Data Management Professional credential, gives candidates a concrete edge when applying for team lead or associate manager openings.
Where can I find and apply to data operations manager jobs in Florida?
You can find and apply to data operations manager jobs in Florida on Migrate Mate, which lists current Florida openings across industries and experience levels. Find roles that match your background and apply directly to the ones that fit.
See All 25 Data Operations Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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