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Analytics Engineer Dbt Jobs in Florida (NOW HIRING)

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 ...

eMed LLC.

Analytics Engineer

Miami, FL · On-site

$120 - $170/hr

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

BankUnited

Data Analytics Engineer

Cleveland, OH · On-site +1

$110K - $133K/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 ...

Enboarder

Senior Data Analytics Engineer

Boca Raton, FL · On-site

$120 - $170/hr

Summary: Senior Analytics Engineer We're looking for a creative and driven Senior Analytics ... Fluency in SQL, dbt, and ideally Python; strong understanding of modern data tooling and ...

ModMed

Senior Data Analytics Engineer

Boca Raton, FL · On-site

$120 - $180/hr

Summary: Senior Analytics Engineer We're looking for a creative and driven Senior Analytics ... Fluency in SQL, dbt, and ideally Python; strong understanding of modern data tooling and ...

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 ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... dbt models, tests, and documentation to ensure data quality and lineage transparency. • Monitor ... Analytics Engineers and Analysts to understand downstream data requirements and model data ...

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Analytics Engineer Dbt information

What is an analytics engineer dbt?

An Analytics Engineer specializing in dbt (data build tool) is responsible for transforming raw data into clean, well-structured datasets that enable data-driven decision-making. They bridge the gap between data engineers and analysts by writing modular, reusable SQL code in dbt to build and maintain data models. Their role involves managing data transformations, ensuring data quality, and optimizing performance within a modern data stack.

What do analytics engineer dbt professionals do?

As an Analytics Engineer Dbt, you'll focus on designing and building robust data transformation pipelines using dbt, ensuring that raw data is modeled into well-structured, analysis-ready datasets for downstream users. Your daily responsibilities typically include collaborating with data analysts, data engineers, and business stakeholders to define data requirements, building documentation, performing code reviews, and maintaining high standards of data quality. You may also participate in optimizing query performance, automating data validation processes, and contributing to data governance initiatives. This role offers the opportunity to work at the intersection of analytics and engineering, providing both technical challenges and strategic business impact.

What are the key skills and qualifications needed to thrive as an analytics engineer dbt?

To thrive as an Analytics Engineer Dbt, you need expertise in SQL, data modeling, and modern data warehousing concepts, often supported by a degree in computer science, data analytics, or a related field. Proficiency with dbt (data build tool), version control systems like Git, and familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift is essential, with dbt certification considered a plus. Strong problem-solving abilities, communication skills, and a collaborative mindset help in effectively translating business needs into scalable data solutions. These skills are crucial for building reliable analytics workflows, ensuring data quality, and bridging the gap between data engineering and analytics teams.

What are the most commonly searched types of Analytics Engineer Dbt jobs in Florida?

The most popular types of Analytics Engineer Dbt jobs in Florida are:

What are popular job titles related to Analytics Engineer Dbt jobs in Florida?

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

What job categories do people searching Analytics Engineer Dbt jobs in Florida look for?

The top searched job categories for Analytics Engineer Dbt jobs in Florida are:

Analytics Engineer Dbt jobs near you
Infographic showing various Analytics Engineer Dbt job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Analytics Engineer

eMed LLC

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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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