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Analytic Engineer Jobs in Florida (NOW HIRING)

Vestis

Principal Data Engineer

Jacksonville, FL · On-site

This role partners with analytics engineers, BI developers, data scientists, product managers, and business stakeholders to design, build, and scale trusted, analytics-ready datasets, semantic layers ...

Canvas

Electrical Engineer

Eglin, FL

We are seeking a highly skilled and analytical Electrical Engineer to join our team. In this role, you will analyze test data requirements, design state-of-the-art sensor and instrumentation ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

... analytic work experience or relevant certifications. • 2 years of work experience in data ... programming languages. • Experience with SQL required. • Experience in supporting and ...

Draper

System Analysis Engineer

Cape Canaveral, FL

The High Availability Architecture Group within the Systems Engineering directorate is seeking a System Safety Engineer to guide and facilitate concept development, mission-system analysis, and ...

Analytic Partners

Site Reliability Engineer

Miami, FL · On-site

$54.50 - $72.50/hr

Analytic Partners is a global leader in commercial measurement and optimization, turning data into ... Own the Internal Developer Platform (IDP) as a product, treating engineering teams as customers and ...

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Showing results 21-40

All JobsAnalytic Engineer JobsAnalytic Engineer Jobs in Florida

Analytic Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do analytic engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytic engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data modeling, SQL, and tools like Python or Spark, and often find opportunities in technology, finance, and healthcare sectors.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.
What are popular job titles related to Analytic Engineer jobs in Florida? For Analytic Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Analytic Engineer jobs in Florida look for? The top searched job categories for Analytic Engineer jobs in Florida are:
What cities in Florida are hiring for Analytic Engineer jobs? Cities in Florida with the most Analytic Engineer job openings:
Analytic Engineer jobs near you
Infographic showing various Analytic Engineer job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $76,039 per year, or $36.6 per hour.

Principal Data Engineer

Vestis

Jacksonville, FL • On-site

Full-time

Re-posted 20 days ago

Vestis rating

7.0

Company rating: 7.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

117th of 171 rated vehicle equipment hire

Job description

Meet Vestis®: For the People Who Make It All Work
At Vestis®, we provide uniforms, workplace supplies, and professional cleaning that help businesses simplify their workday and keep their teams safe, confident, and focused on what matters most. More than a provider, we are a partner in productivity, trusted to keep you running.
Join us and build a career supporting the people who make it all work.
Overview
The Principal Data Engineer is a senior technical individual contributor (no direct people management required) responsible for driving technical excellence, architectural direction, and engineering best practices for the organization's analytics data platform on Microsoft Azure.
This role partners with analytics engineers, BI developers, data scientists, product managers, and business stakeholders to design, build, and scale trusted, analytics-ready datasets, semantic layers, and data products using Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Pipelines, Dataflows Gen2, Notebooks), enabling governed self-service insights through Power BI. A key focus is helping execute the modernization roadmap to retire Azure Synapse workloads and transition teams to Fabric and Power BI standards.
The Principal Data Engineer operates with broad autonomy, influences multiple teams, and plays a critical role in shaping long-term analytics strategy, metric governance, and Microsoft Fabric platform investments while remaining hands-on with design, implementation, and code.
Key Responsibilities
Data Platform Leadership & Architecture
  • Lead the design and evolution of the analytics platform using Microsoft Fabric (OneLake, Lakehouse/Warehouse, Notebooks) to deliver curated data layers for self-service reporting and advanced analytics.
  • Lead the Synapse retirement and transition to Fabric by inventorying current Synapse workloads, defining target patterns, sequencing migrations, and driving controlled cutovers (parallel runs, reconciliation, and rollback plans) to safely decommission Synapse components.
  • Define and uphold standards for dimensional/data modeling, transformation patterns, naming conventions, documentation, and reusable semantic definitions-including Power BI semantic models (datasets) and certified/shared assets.
  • Drive technical decision-making for high-impact analytics initiatives: Fabric Lakehouse/Warehouse curated marts, metric layers, KPI frameworks, and shared datasets used across multiple domains (including Finance integrations such as Hyperion and Oracle EBS where applicable).

Data Engineering & Pipeline Development
  • Build, review, and maintain analytics transformations and curated datasets in Microsoft Fabric using strong engineering rigor (version control, code review, and release discipline).
  • Lead implementations for new subject areas and data sources using Fabric Data Pipelines and Dataflows Gen2, including incremental loading strategies, slowly changing dimensions, and scalable aggregation patterns.
  • Ensure analytics data products meet high standards for correctness, freshness, and usability through data quality checks, reconciliation (including finance sources such as Hyperion and Oracle EBS when applicable), and clear documentation for Power BI consumers.
  • Champion automated testing for data, lineage/documentation, and performance optimization for BI workloads across Microsoft Fabric and Power BI semantic models.

Mentorship & Influence
  • Mentor analytics engineers and data engineers; elevate modeling quality, metric governance, and documentation practices across teams.
  • Set a strong example through technical depth, ownership, and disciplined delivery of high-quality, well-tested models and governed metrics.
  • Influence without authority across multiple teams to standardize modeling patterns, semantic definitions, and reusable metric layers.
  • Participate in hiring and technical interviews; assess candidates for strong SQL/modeling skills, stakeholder partnership, and practical analytics delivery.

Strategic Impact
  • Identify and proactively address systemic analytics risks such as inconsistent definitions, semantic drift, fragile transformations, and data quality gaps that erode trust.
  • Contribute to long-term analytics platform roadmaps, including curated domain marts, semantic/metrics layers, and governance processes that scale self-service, with clear milestones to retire Azure Synapse workloads and decommission legacy components.
  • Stay current with modern analytics engineering practices (dbt, metric stores, semantic layers, data quality/observability) and assess applicability to the organization.
  • Partner with Analytics, Finance/Operations, Product, and Application teams to deliver trusted datasets, KPI definitions, and Power BI semantic models aligned to business outcomes.

Required Qualifications
  • 15+ years of professional data/software engineering experience, with significant time focused on data engineering, data management, and data platform work. The ideal candidate will have a proven transformation and delivery track record.
  • Deep expertise in analytics data modeling (dimensional, wide tables, SCD patterns) and modern analytical platform patterns (warehouse/lakehouse, curated marts, semantic layers).
  • Strong proficiency in SQL and one or more programming languages commonly used for data engineering (e.g., Python, Scala, Java).
  • Demonstrated experience migrating and decommissioning legacy data platforms (e.g., Azure Synapse) to modern equivalents (e.g., Microsoft Fabric), including workload inventory, remediation of gaps, and controlled cutover plans.
  • Strong understanding of Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, SQL endpoints) plus CI/CD and DataOps practices for analytics assets.
  • Experience enabling governed self-service analytics with Power BI (semantic modeling, performance tuning, and DAX fundamentals) and integrating or reconciling Finance reporting outputs (e.g., Hyperion) when applicable.
  • Proven ability to influence data architecture and technical direction across multiple teams, including governance, standards, and shared datasets.
  • Experience designing analytics data solutions for large-scale enterprise domains (finance, operations, customer, product) with multiple upstream sources.
  • Experience with metric governance and analytics enablement capabilities (semantic layers/metric definitions, Power BI datasets, catalogs/lineage, data quality frameworks, and role-based access control).
  • Track record of leading cross-organizational analytics initiatives, aligning stakeholders on common definitions/metrics, and delivering reusable, well-documented datasets that drive adoption.

Headquartered in Roswell, GA, Vestis® is the second largest provider in the industry with over 300,000 customer locations and approximately 20,000 teammates across North America. Vestis® is a leader in the B2B uniform and workplace supplies category. Vestis® provides clean and safe uniform services and workplace supplies to a broad range of North American customers from Fortune 500 companies to locally owned small businesses across a broad set of end markets. The Company's comprehensive service offering includes a full-service uniform rental program, cleanroom and other specialty garment processing, floor mats, towels, linens, managed restroom services, first aid supplies and more.
Vestis® is an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, relation, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Vestis Commitment to Equal Opportunity Employment
If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you will find the contact information below to request the appropriate accommodation.
Reasonable Accommodations and the Online Application Process
Consistent with Vestis and Canadian Linen's commitment to equal employment opportunity, we provide reasonable accommodations to qualified individuals with disabilities who need assistance in applying electronically for a position with Vestis or Canadian Linen, unless doing so would impose an undue hardship. To request a reasonable accommodation for this purpose, please call 1-833-901-8823 or email us at accessibility@vestis.com.
Please note that this phone number is to be used solely to request an accommodation with respect to the online application process. Calls for any other reason will not be returned. Reasonable accommodation requests are considered on a case-by-case basis.
Thank you for your interest in an employment opportunity with Vestis, Canadian Linen and Québec Linge.

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