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Full Time Analytics Engineer Dbt Jobs in Florida

eMed LLC

Analytics Engineer

Miami, FL · On-site

Analytics Engineer Location: On-Site Miami • Reports to: Director, Data & Analytics • ... Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... Preferred experience with dbt (data build tool) for data transformation, testing, and analytics ...

KLS MARTIN LP

Sr Analytics Engineer (34453)

Jacksonville, FL · On-site

$96K - $132K/yr

We provide full-time employees with a competitive benefits package, including paid parental leave ... Mentor and coach junior Analytics Engineers, fostering growth in data modeling, analytics design ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... analytics. This role will focus on developing reliable pipelines that ingest data from key ... Develop and maintain dbt models, tests, and documentation to ensure data quality and lineage.

WatchGuard Technologies, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

You will work closely with data analysts, analytics engineers, and product stakeholders to deliver ... tested dbt models aligned to each Medallion layer, enforcing consistent naming conventions ...

WatchGuard Technologies, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

You will work closely with data analysts, analytics engineers, and product stakeholders to deliver ... Nice-to-Have ▸ Exposure to Snowflake Cortex, dbt Semantic Layer, or Boomi Data Hub for AI ...

Vector Solutions

CRM Analytics Engineer

Tampa, FL · On-site

$105K - $130K/yr

Job Type Full-time Description Vector Solutions is a leading, AI-enabled, performance platform ... We are seeking a hands-on CRM Analytics Engineer to help build and maintain the analytics ...

TECO

Enterprise Analytics Data Engineer

Tampa, FL · On-site

Experience implementing enterprise-grade semantic layers and dbt best practices across staging ... source analysis, advising ETL developers, and designing logical and physical analytic data ...

TECO

Enterprise Analytics Data Engineer

Tampa, FL · On-site

Experience implementing enterprise-grade semantic layers and dbt best practices across staging ... source analysis, advising ETL developers, and designing logical and physical analytic data ...

TECO

Enterprise Analytics Data Engineer

Tampa, FL · On-site

Experience implementing enterprise-grade semantic layers and dbt best practices across staging ... source analysis, advising ETL developers, and designing logical and physical analytic data ...

TECO

Enterprise Analytics Data Engineer

Tampa, FL · On-site

Experience implementing enterprise-grade semantic layers and dbt best practices across staging ... source analysis, advising ETL developers, and designing logical and physical analytic data ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ... Dbt * Managing dbt cloud environment * Managing multi-repository dbt projects * Creating and ...

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All JobsAnalytics Engineer Dbt JobsFull Time Analytics Engineer Dbt JobsFull Time Analytics Engineer Dbt Jobs in Florida

Full Time Analytics Engineer Dbt information

What is the difference between Full Time Analytics Engineer Dbt vs Data Analyst?

AspectFull Time Analytics Engineer DbtData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with Dbt, SQLBachelor's in related field; proficiency in Excel, SQL, data visualization tools
Work EnvironmentCollaborates with data engineering and analytics teams, often in tech or finance industriesWorks across departments to interpret data, often in business or marketing sectors
Employer & Industry UsageUsed in companies focusing on data pipelines, analytics automation, and BICommon in organizations needing data reporting, insights, and dashboards

While both roles involve working with data, a Full Time Analytics Engineer Dbt primarily focuses on building and maintaining data models using Dbt, whereas a Data Analyst emphasizes interpreting data and creating reports. The Analytics Engineer is more technical and pipeline-oriented, while the Data Analyst is more business-focused.

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For Full Time Analytics Engineer Dbt jobs in Florida, the most frequently searched job titles are:

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Full Time Analytics Engineer Dbt jobs near you
Infographic showing various Full Time Analytics Engineer Dbt job openings in Florida as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Analytics Engineer

eMed LLC

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Analytics Engineer
Location: On-Site Miami • Reports to: Director, Data & Analytics • Department: Data & Analytics
About eMed
eMed is a digital-health company built on its Empathetic AI™ Population Health Platform. We partner with large employers, health plans, unions, and government programs to reduce obesity and improve chronic disease outcomes through connected, at-home clinical care - combining remote diagnostics, telehealth, and GLP-1 medication management at scale across the US and UK.
About the Role
We're looking for an Analytics Engineer to join our Global Data & Analytics team and help build the data models, pipelines, and semantic layer that power reporting and decision-making across eMed's clinical, product, marketing, and B2B client operations. You'll sit at the intersection of data engineering and analytics: taking raw data from our warehouse and shaping it into clean, well-tested, documented models that analysts, executives, and external partners can trust.
This role backfills a key seat on the team and offers significant ownership over how eMed defines, governs, and scales its core data marts as the company grows across new markets and B2B accounts.
What You'll Do
  • Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS Redshift warehouse, following consistent naming, testing, and documentation standards.
  • Own and evolve core data marts (e.g. patient, prescriptions, clinical outcomes, B2B/eligibility) that feed Tableau dashboards used by Executive, Clinical, Marketing, Product, and B2B stakeholders across US and UK markets.
  • Partner with Data Engineers to ensure upstream ingestion (Airbyte, source systems) lands in a state that's reliable and analytics-ready, and flag/fix data quality issues at the source when possible.
  • Translate ambiguous business questions and stakeholder requests into well-structured, reusable data models rather than one-off queries.
  • Write and maintain dbt tests, documentation, and lineage so definitions (e.g. "active patient," "adherence") are consistent, discoverable, and governed across the business glossary.
  • Support B2B client analytics and reporting needs - building or maintaining models behind client dashboards and eligibility/data-sharing pipelines - in coordination with client-facing analysts.
  • Contribute to data governance and quality initiatives, including the ongoing global data-source QA process across our foundational marts.
  • Participate in code review, deployment, and CI/CD practices (Git, dbt, Terraform-managed infrastructure) to keep the warehouse reliable as it scales.
What We're Looking For
  • 5+ years of experience in an analytics engineering, data engineering, or advanced analytics role, with real ownership of production data models.
  • Strong SQL skills and hands-on experience with dbt (or a similar transformation framework) in a modern cloud warehouse (Redshift, Snowflake, BigQuery, or similar).
  • Solid understanding of dimensional data modeling (facts/dimensions, star schemas) and how to design models that scale and stay maintainable.
  • Experience with a BI tool such as Tableau, Looker, or Power BI - you understand how downstream consumers will actually use what you build.
  • Comfort working with messy, real-world data and a strong instinct for data quality - testing, validating, and documenting rather than assuming correctness.
  • Familiarity with Git-based version control and CI/CD workflows for analytics code.
  • Clear written and verbal communication - you can explain a modeling decision or a data quality tradeoff to both engineers and non-technical stakeholders.
  • Comfortable operating with a fair amount of autonomy and ambiguity in a fast-moving startup environment.
Nice to Have
  • Experience in healthcare, life sciences, or another regulated data environment (HIPAA and/or GDPR exposure).
  • Experience supporting B2B or external client-facing reporting/data-sharing, including eligibility file ingestion.
  • Familiarity with Airflow/Airbyte or similar orchestration and ingestion tooling.
  • Exposure to Python for data validation, automation, or lightweight pipeline work.
  • Experience contributing to a data governance program (glossaries, metric definitions, data contracts).
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • Short Term & Long Term Disability
  • Catered Breakfast & Lunch Daily, Plus Snacks
  • Training & Development
  • Wellness Resources

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