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Remote Analytics Engineer Jobs in Florida (NOW HIRING)

US-FL-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... The ideal candidate needs to be passionate about proper data engineering standards with analytical ...

The individual will support advanced remote sensing exploitation functions through detailed ... The position requires working collaboratively with other engineers, scientists, and analysts on ...

Senior Data Engineer

Jacksonville, FL · Remote

$98K - $133K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Lead root-cause analysis for production issues and drive implementation of long-term preventative ...

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... Analyze DCS, historian, and monitoring system data for diagnostics and system performance ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Engineering of distribution electrical projects through the entire project lifecycle: from ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

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Showing results 1-20

Remote Analytics Engineer information

See Florida salary details

$34K

$69.6K

$101.3K

How much do remote analytics engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote analytics engineer in Florida is $69,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $88,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the most commonly searched types of Analytics Engineer jobs in Florida? The most popular types of Analytics Engineer jobs in Florida are:
What are popular job titles related to Remote Analytics Engineer jobs in Florida? For Remote Analytics Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Florida look for? The top searched job categories for Remote Analytics Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Analytics Engineer jobs? Cities in Florida with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $69,632 per year, or $33.5 per hour.

Analytics Engineer

Raytheon

Tallahassee, FL • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

3rd of 536 rated manufacturers


Job description

Date Posted:

2026-07-15

Country:

United States of America

Location:

US-FL-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Business Analytics team in Raytheon Digital Technology Operations, Supply Chain, and Quality is looking for a Analytics Engineer focused on the development and deployment of data-driven systems solutions designed to improve performance in the planning and execution of our business.  Primary areas of focus will include analyzing source enterprise resource planning (ERP) system information, curating and developing complex datasets that achieve business objectives while meeting data engineering best-practices.

Our team collaborates closely with stakeholders and analysts within operations, supply chain, quality, and other core execution functions to identify supply and demand risks and provide recommendations through performant and trusted data products and complex data models. The role offers opportunity to participate in building various business critical solutions as well as the opportunity to solve unique business problems that arise on ad-hoc basis.

The ideal candidate needs to be passionate about proper data engineering standards with analytical mindset to drive action through facts and data, possess the ability to effectively organize and distill data, proactively ask appropriate questions to understand hypotheses and requests, and analyze and communicate complex data in a compelling manner to a variety of audiences.  The candidate will have the opportunity to build strong partnerships and networks across the organization to learn the Raytheon business and grow as in a fast-paced environment.

What You Will Do

  • Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs.
  • Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks.
  • Develop and manage data pipeline supporting multiple reports, tools, and applications.
  • Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data.
  • Lead and engage in requirement planning, trainings, and presentations with technical and non-technical teams

What You Will Learn

  • SAP ERP/MES data sets, transactions, and backend databases
  • Understanding of manufacturing and supply chain processes
  • Foundational data sources and key performance metrics depended by Raytheon Operations and Supply Chain to build quality data products
  • Designing, troubleshooting, and maintaining tasks, procedures, views, and ETL pipelines

Qualifications You Must Have  

  • Typically requires a University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years of experience.
  • Strong experience with Snowflake and relational SQL database design, implementation, and optimization.
  • Hands‑on experience with data cleansing, curation, manipulation, mining, and analysis across disparate systems.
  • Practical experience with Git-based configuration control and CI/CD pipelines (GitHub Actions, Jenkins, etc.).

Qualifications We Prefer

  • Degree in a technical field (CS, engineering, math, economics) and strong SQL‑based ETL/ELT expertise.
  • Experience with Python (Pandas), schema/deployment tools (SchemaChange, Liquibase), and data orchestration platforms (Snowflake Tasks, ADF, Matillion, etc.).
  • Knowledge of data modeling, Agile development, API-driven data solutions, and relational web app databases.
  • Proficiency with analytics and visualization tools (Tableau, Power BI, advanced Excel) and statistical/ML concepts.
  • Experience with manufacturing, supply chain, or operations systems; familiarity with ERP/MRP tools (SAP, Kinaxis).

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role.

Remote: This position currently is designated as remote. Employees who are working in remote roles will work primarily offsite (from home) but may be expected to travel to the site location as needed. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories).

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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