Data Operations Analyst Jobs in Florida
Data Operations Analyst jobs in Florida are actively in demand, with steady hiring concentrated in financial services, healthcare systems, and logistics technology across experience levels from entry-level associates through senior analysts. Miami, Tampa, and Orlando anchor the market, where large employers such as Citigroup, AdventHealth, and Ryder System maintain established data and analytics operations. The most consistent openings are in data quality management, pipeline operations, and reporting automation. Find a role that fits below and apply directly.
Find Data Operations Analyst JobsOverview
Showing 4 of 9+ Data Operations Analyst jobs
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 9 Data Operations Analyst Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Operations Analyst JobsData Operations Analyst Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Data Operations Analyst 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 analyst jobs across Florida.
- Bachelor's degree in information systems, computer science, or a related analytical field
- Proficiency in SQL for querying and managing relational databases
- Experience with data pipeline tools such as Informatica, Talend, or Apache Airflow
- Familiarity with BI platforms including Tableau, Power BI, or Looker for reporting
- Strong attention to data quality, validation processes, and documentation standards
- Ability to collaborate with cross-functional teams including IT, finance, and operations
Data Operations Analyst Jobs in Florida: Frequently Asked Questions
How do you become a data operations analyst in Florida?
Most data operations analyst roles in Florida require a bachelor's degree in information systems, data management, computer science, or business analytics. Florida does not issue a state license for this role, so hiring is credential-driven rather than regulated. Candidates who build proficiency in SQL, data pipeline tools, and a major BI platform are most competitive. Certifications from vendors such as Microsoft, Tableau, or Informatica are recognized by Florida employers and strengthen applications considerably.
Which companies hire data operations analysts in Florida?
Employers hiring data operations analysts in Florida right now include BNY, HII, and Hut 8, based on current listings on Migrate Mate as of November 2026. Florida's concentration of financial institutions, regional hospital networks, and logistics companies creates a diverse and consistent base of employers for this role.
Which Florida cities have the most data operations analyst jobs?
Gainesville, Florida, and Miami have the most data operations analyst openings in Florida. Miami leads because of its dense cluster of financial services firms and international corporate headquarters, while Tampa's growing tech and healthcare sectors generate consistent demand, and Orlando's mix of hospitality analytics, healthcare systems, and defense contractors supports steady hiring across the metro.
Are there remote data operations analyst jobs in Florida?
Yes, and more than most fields, since data operations work centers on systems and software that can be accessed from anywhere. About 33% of data operations analyst openings tied to Florida are remote or hybrid as of November 2026, reflecting the desk-based nature of the role. Pipeline monitoring, reporting, and data quality tasks are the functions most commonly performed fully remote.
How can I get hired as a data operations analyst in Florida with little or no experience?
The most realistic entry path is a data analyst associate or junior data analyst role at a Florida healthcare system or financial services firm, where organizations like AdventHealth, HCA Florida, and Regions Bank run structured new-grad programs that feed into data operations teams. Lateral moves from database administration, business intelligence reporting, or IT support roles are also common stepping stones. Building a portfolio of SQL projects and earning a vendor certification in Tableau or Microsoft Azure Data Fundamentals gives candidates without formal experience a concrete credential that Florida hiring managers recognize.
Where can I find and apply to data operations analyst jobs in Florida?
You can find and apply to data operations analyst jobs in Florida on Migrate Mate, which lists current Florida openings updated regularly. Find the roles that fit your experience and location, then apply directly to each one.
See All 9 Data Operations Analyst Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Operations Analyst Jobs