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Remote Python Data Analysis Jobs in Miami, FL (NOW HIRING)

YO AI Labs

Data Privacy Analyst - Remote

Miami, FL · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

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 ... SQL, Python * Data governance, security, and compliance concepts * Data Ingestion * Incremental and ...

Workiva

Spring 2027 Intern - Data Analytics

Hialeah, FL · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

Spring 2027 Intern - Data Analytics

Miami, FL · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Dlapiper

Data Scientist

Miami, FL · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud ...

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Humana

Data Engineer

Fort Lauderdale, FL · On-site +1

$109K - $131K/yr

You will work closely with senior engineers, architects, analysts, and business stakeholders to ... Python * MuleSoft * Git and CI/CD tools * Data Integration and ETL/ELT Frameworks * Azure Data ...

New

YO AI Labs

Excel Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced Business Document Experts to support an AI training ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

YO AI Labs

PowerPoint Expert - Remote

Miami, FL · Remote

$30 - $50/hr

PowerPoint Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

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As of Sep 12, 2026, the average hourly pay for remote python data analysis in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 per hour, depending on experience, location, and employer.

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Infographic showing various Remote Python Data Analysis job openings in Miami, FL as of September 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,622 per year, or $56.1 per hour.

Senior Data Platform Engineer (Python & Databricks)

Miami, FL • On-site, Remote

Codelitt
Software Development • 11 - 50 employees
Learn more about Codelittexternal

$117K - $158K/yr

Contractor

Re-posted 10 days ago

Job description

About Codelitt
At Codelitt, we are more than a product-development company. We are creators, innovators, and problem solvers.
We partner with companies around the world to design and build meaningful digital products, modernize complex systems, and solve challenging technical problems. Our globally distributed team values technical excellence, ownership, proactive communication, and collaboration.
About the Role
We are looking for a Senior Data Platform Engineer to join a high-impact engagement with one of our partners, a global leader in wealth-management technology.
This is a remote position from Latam.
You will help build and evolve a financial data platform developed on top of Databricks and used by major enterprise clients. The platform supports the ingestion, transformation, modeling, and delivery of complex financial data.
This is primarily a backend and data-platform position. You will work across Python services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in New York.
The ideal candidate has substantial hands-on Databricks experience and can become productive in a complex data environment. You should be comfortable taking ownership of well-defined areas of work while gradually building a broader understanding of the platform.
We process our payment in US dollars, however you can receive it in your local currency.
What You'll Do
Data Platform Development
  • Build and maintain components of a large-scale financial data platform.
  • Develop reliable data pipelines for ingesting, transforming, and delivering financial data.
  • Design data models that support enterprise reporting, analytics, and downstream integrations.
  • Improve the performance, reliability, maintainability, and observability of existing data workflows.
  • Troubleshoot complex issues across data-processing and application layers.
Python and API Development
  • Design, build, and maintain production-grade applications and services using Python.
  • Develop well-structured APIs for accessing and managing data-platform capabilities.
  • Write clean, testable, maintainable, and well-documented code.
  • Participate in architectural and technical-design discussions.
  • Review code and help maintain a high engineering standard across the team.
Databricks Engineering
  • Build and operate production workloads using Databricks.
  • Help improve the organization and execution of Databricks-based data workflows.
  • Work with large datasets and complex transformation requirements.
  • Apply Databricks best practices to improve scalability, reliability, and developer productivity.
Collaboration and Ownership
  • Work directly with engineers and technical leaders from both Codelitt and our partner.
  • Collaborate with a hybrid engineering team based in New York.
  • Break complex requirements into clear and manageable technical tasks.
  • Communicate progress, risks, dependencies, and blockers proactively.
  • Take ownership of assigned initiatives from technical discovery through delivery.
  • Contribute to documentation and internal knowledge sharing.
Required Qualifications
  • Five or more years of professional software-engineering experience.
  • Strong professional experience developing production applications with Python.
  • Hands-on experience building production workloads with Databricks.
  • Experience designing and maintaining data pipelines.
  • Strong understanding of data modeling and data-processing concepts.
  • Experience designing or consuming APIs in distributed systems.
  • Experience working with relational databases and SQL.
  • Strong automated-testing and software-quality practices.
  • Experience working with version control, code review, and CI/CD workflows.
  • Ability to understand and contribute to an established, complex codebase.
  • Strong written and verbal English communication skills.
  • Ability to work independently while collaborating closely with a broader engineering team.
Preferred Qualifications
  • Experience building data platforms for financial-services or other data-intensive industries.
  • Experience with cloud-based data architectures.
  • Familiarity with infrastructure-as-code tools such as Terraform.
  • Experience improving the observability and operational reliability of data pipelines.
  • Familiarity with modern data governance, access-control, and data-quality practices.
  • Experience working in an enterprise environment with strict security and compliance requirements.
  • Front-end experience with React or another modern JavaScript framework.

Front-end development and infrastructure work may occasionally be required, but they are not the primary focus of this position. Deep Kubernetes expertise is not required.
Who You Are
Databricks Experienced
You have used Databricks in a real production environment and understand how to build, maintain, and troubleshoot data workloads on the platform.
Python Focused
You can design and implement reliable Python services and APIs, not simply scripts or notebooks.
Data Oriented
You understand how data moves through a platform and can reason about ingestion, transformation, modeling, quality, performance, and downstream consumption.
Proactive
You communicate before a problem becomes a surprise. When blocked, you raise the issue, explain its impact, and help identify a path forward.
Comfortable with Complexity
You can navigate a mature platform with significant internal context. You know how to ask effective questions, document what you learn, and gradually expand your ownership.
Collaborative
You enjoy working with other engineers, sharing knowledge, reviewing designs, and contributing to a healthy engineering culture.
What We Offer
  • Generous paid-time-off policy.
  • Paid sick leave.
  • Paid parental leave.
  • Opportunities to work on challenging products with experienced international teams.
  • A collaborative environment that values technical quality and personal ownership.
  • Regular team-building activities throughout the year.

Codelitt is a close-knit global team that moves quickly, communicates openly, and enjoys solving difficult problems together.
If you are an experienced Python engineer with strong Databricks knowledge and an interest in building enterprise data platforms, we would love to hear from you.
Please note: We are not currently interested in working with external recruiters or staffing agencies.

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