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Python Sql Jobs in Miami, FL (NOW HIRING)

Qfanalytics

Database Administrator

Miami, FL · On-site

$100 - $125/hr

Net web apps, C#, Azure/Cloud development environments, Python, Redis, SSIS, SSAS * Advanced knowledge of data management, aggregation and analysis techniques * Strong problem-solving skills

Volto USA

Forward Deployment Engineer (FDE)

Miami, FL · Remote

Python, SQL, APIs and Microservices, Cloud Platforms (Azure preferred, AWS or GCP acceptable), Machine Learning and Data Science fundamentals * 8+ years of experience in software engineering, data ...

Dellfor Technologies

python developer

Florida City, FL · On-site

$80K/yr

Contract 5+years of experience Python will be the primary language, using which developer would perform SQL/CRUD operations in DB, file extraction/transformation/generation (CSV, XML, JSON, PDF ...

Univision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Strong proficiency in Python, SQL, and data transformation frameworks such as dbt * Experience working with large-scale distributed systems and big data technologies, including Spark, and Hadoop

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Software Development and Automation · Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations. · Implement scripting automation using Bash and ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Software Development and Automation • Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations. • Implement scripting automation using Bash and ...

MasTec Inc

Senior Accountant

Coral Gables, FL · On-site

$70K - $88K/yr

Python; SQL) MasTec, Inc. is an equal employment opportunity employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, gender, sex ...

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Python Sql information

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How much do python sql jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python sql 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.

What is a Python SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What are the key skills and qualifications needed to thrive in the Python SQL position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

What are the most commonly searched types of Python Sql jobs in Miami, FL?

The most popular types of Python Sql jobs in Miami, FL are:

What are popular job titles related to Python Sql jobs in Miami, FL?

For Python Sql jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Miami, FL look for?

The top searched job categories for Python Sql jobs in Miami, FL are:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Miami, FL as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $116,622 per year, or $56.1 per hour.

Database Administrator

Qfanalytics

Miami, FL • On-site

$100 - $125/hr

Other

Posted 6 days ago

Job description

QF Analytics LLC is a fintech company that develops and supports one of the world’s fastest-growing online trading platforms with a monthly trading volume in excess of $11 billion dollars. We are expanding our team aggressively and looking ideally for individuals with trading domain knowledge, who can help develop and support a robust financial trading infrastructure.

We are currently in search of a Machine Learning Engineer to join our team.

This opportunity presents an exciting chance for individuals seeking a dynamic work environment. The successful candidate will have the option to work in a hybrid capacity, commuting to offices in Miami, Chicago, Atlanta, Toronto (Canada) or Nassau (Bahamas), fostering a collaborative and engaging atmosphere. Join our team and experience the synergy that comes from working together in person, while also enjoying the flexibility and convenience of working from home a couple days a week.

Responsibilities
  • Translate business requests and questions into SQL logic
  • Develop analysis templates and standards for use across the Analytics Team
  • Curate datasets from raw sources for analysis, modelling and machine learning
  • Manage a complex portfolio of data science projects, initiatives and implementations, constantly adapting to new ideas and challenges posed by Data Science/Machine Learning analysts
  • Manage data engineering platforms including the raw data layer, cleansed/aggregates layers, reporting layers and analytical layers while integrating with other source systems
  • Work closely with Data Science team to provide environment and data automation capabilities
  • Work with DevOps team to ensure that the data architecture supports all research & strategy implementation needs
  • Work with software development & trading strategy teams to create an efficient and flexible flow of data to translate business and analytics requirements including ETL, data models, aggregations and reports for analysis
  • Convert prototypes into production data engineering solutions through disciplined software engineering practices and modern deployment pipelines
  • Work with trading strategy team to collate and organize trading system output into a structured framework to facilitate forensical analysis
Required Qualifications
  • 5+ years of experience of Database Management & Data Curation/Wrangling
  • Degree in Mathematics, Computer Science, Statistics, Economics or related fields
  • Advanced SQL/Programming Query skills, understanding of financial statistical methods, ASP .Net web apps, C#, Azure/Cloud development environments, Python, Redis, SSIS, SSAS
  • Advanced knowledge of data management, aggregation and analysis techniques
  • Strong problem-solving skills
  • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Experience working with and creating data architectures
  • Experience visualizing/presenting data for stakeholders using data visualization tools such as Power BI or Tableau
  • Expert knowledge of MS Excel, MS Access and VBA
  • Intermediate to advanced data manipulation ability via Excel and/or Python/SQL
  • Data pipeline and/or database development and engineering experience
Preferred Qualifications
  • PhD in Mathematics, Engineering, Physics or related field
  • 4-8 years experience working in Machine Learning
  • Experience with deep learning frameworks like TensorFlow or PyTorch
  • Familiarity with C# and .NET framework
  • Familiarity with Azure Environments; specifically Azure Data Functions
  • Familiarity with Docker initialization and environment management
What We Have To Offer
  • Flexible work arrangements when in office (including working from home periodically)
  • Competitive salaries, often better than industry, for comparable roles
  • Daily premium lunch catering, and keeping the office stacked with fruits and snacks
  • Arcade, foosball, snooker, pingpong, and fully equipped game room with latest generation gaming consoles on site
  • Comprehensive health benefits plan that kicks in after 90 days of successful employment, including access to exclusive employee discounts
  • Bonus and incentive programs
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