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Data Analytics Engineer Jobs in Florida (NOW HIRING)

Gopuff

Analytics Engineer

Miami, FL · On-site

$100K - $125K/yr

As an Analytics Engineer at Gopuff, you'll build and maintain the bridge between our data and the rest of the organization. This role sits on the Analytics Engineering team and is dedicated to our ...

TECO

Data Analytics Architect

Tampa, FL · On-site

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

TECO

Data Analytics Architect

Tampa, FL · On-site

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Deloitte

GCP Cloud Analytics Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Deloitte

GCP Cloud Analytics Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

The RMR Group Inc

Manager, Data Analytics

Orlando, FL · On-site

Stay current on developments in AI for analytics and data engineering - including lakehouse and data mesh patterns - and bring practical, relevant innovations to RMR. The Future of Data Analytics at ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Florida

Data Analytics Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

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

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

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

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

What cities in Florida are hiring for Data Analytics Engineer jobs?

Cities in Florida with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Analytics Engineer

Miami, FL • On-site

Gopuff
Retail • 5 - 10K employees
Learn more about Gopuffexternal

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Gopuff rating

4.9

Company rating: 4.9 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

Job description

Gopuff's engineering team is building solutions to dramatically change the way people purchase their daily goods. We provide the modern-day solution to meet customers' immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button.
As an Analytics Engineer at Gopuff, you'll build and maintain the bridge between our data and the rest of the organization. This role sits on the Analytics Engineering team and is dedicated to our Supply Chain and Merchandising partners, with a secondary focus on marketing and CRM analytics. You'll own the models that our planning, allocation, and merch teams use to decide what we buy, where we place it, and how we promote it, and you'll be accountable for the integrity, reliability, and usability of that data.
What We Offer
  • Medical/Dental/Vision Insurance
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through AllOne Health (formerly Carebridge)

Compensation
  • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we'd reasonably expect to pay candidates. A candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role's compensation package, please reach out to the designated recruiter for this role.
  • This role is eligible for a discretionary annual cash bonus and participation in Gopuff's equity incentive plan.
  • Base Salary Range: $100,000 - $125,000

Responsibilities
  • Design, build, and maintain the production data models that power supply chain and merchandising decisions: sales and demand, inventory position and in-stock, damage and expiration, turn, vendor fill rate, purchase orders, and allocation.
  • Be the go-to data expert for these domains, with a deep understanding of our data warehouse and the processing layers feeding it.
  • Partner with Supply Chain divisional teams, Merchandising, Marketing, CRM, product managers, and engineers to translate business questions into durable models and self-serve tooling rather than one-off pulls.
  • Own data integrity, availability, transformation logic, and efficient data access for the domains you support.
  • Build and maintain reporting and dashboards in Looker that planners and merchants use daily, and retire the manual reporting they replace.
  • Support marketing and CRM analytics alongside the supply chain work: campaign and promotion performance, channel reporting.
  • Identify gaps in existing data, write data product specs, and work with engineering teams to get the right tracking in place.
  • Automate wherever possible, and build testing and monitoring so data quality problems surface before stakeholders find them.
  • Document your models so every stakeholder can find, understand, and trust the data without asking you first.

Preferred Qualifications
  • Experience with ETL/ELT tooling (bonus points for dbt).
  • Strong knowledge of data warehousing concepts, big data technologies, and analytics platforms. Snowflake, Redshift, and/or Azure experience strongly preferred.
  • Exposure to supply chain, inventory, merchandise planning, or allocation data. You don't need years of planning experience, but familiarity with concepts like model stock, lead time, replenishment cycles, sell-through, and turn will get you productive faster.
  • Experience with marketing or CRM analytics: campaign performance, promotion lift, channel attribution, or customer segmentation.
  • Experience with demand planning or ERP systems such as JustEnough or Kinaxis.
  • Comfort working with AI-assisted development tools. We use assistants like Claude in our day-to-day analytics engineering work, and we value engineers who use them well: accelerating model development, SQL review, testing, and documentation while independently verifying outputs and knowing when the tool is the wrong answer.
  • Alcohol beverage or CPG category experience is a plus.

Minimum Qualifications
  • Bachelor's in Engineering, Computer Science, Information Systems, Business, or another quantitative discipline.
  • 3+ years of experience building data models that integrate complex and disparate data sources, using tools such as dbt.
  • Expert in SQL and database table design, able to write structured and efficient queries against large datasets. Advanced Excel skills for partner collaboration.
  • 1+ years building and maintaining reporting and dashboards in Looker or a comparable BI tool.
  • Strong analytical judgment: able to move from raw data to a clear recommendation, and to explain the 'so what' to business partners who will act on it.
  • Excellent communication skills, with the ability to translate business needs into tractable work items and to explain technical trade-offs to non-technical partners.
  • Top-notch organizational skills and the ability to manage multiple projects in a fast-paced environment.
  • Move fast, be a team player, always be learning, and give back.

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it-stuff happens. But that's where we come in, delivering all your wants and needs in just minutes.
And now, we're assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you're hearing? Then join us on Team Blue.
#LI-GOPUFF
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What Gopuff employees say

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About GoPuff

Sourced by ZipRecruiter

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're assembling a team of thinkers, dreamers and risk takers who are ready to help us reshape the world of retail faster than ever before. And it doesn't hurt if you like snacks.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Philadelphia, PA, US

Year founded

2013

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