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Python Sql Jobs (NOW HIRING)

Senior Python Developer

Mclean, VA · On-site

$123K - $166K/yr

Python, SQL, Groovy, PostgreSQL, Jenkins, Docker Kubernetes, CI/CD, Bitbucket, Gitlab, Oracle, AWS cloud services (S3, Lambda), REST API data sources, Microservice architecture, Django framework ...

Python Developer - Gen AI, Sagemaker, AWS

Reston, VA · On-site

$52.25 - $72/hr

Python * Gen AI * SQL * AWS Data Services * LLM * ML * Sagemaker Experience: 8+ years overall in Software Engineering disciplines, preferably in the financial services industry 2-3 years of ...

Python/GenAI Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

SQL * AWS Data Services * LLM * ML * Sagemaker Experience: 8+ years overall in Software Engineering disciplines, preferably in the financial services industry 2-3 years of experience in AI/ML ...

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6-12 Months Contract-to-Hire Note :W2 role no C2C Required Skills & Experience * 8+ years of software ...

... SQL ensuring efficient data storage retrieval and integrity Integration Integrate frontend user ... Python SQL TypeScript JavaScript HTML and CSS Front End Frameworks Extensive experience with the ...

Chicago IL Jobs, Python Software Engineer, Python, SQL, Stored Procedures, Data Models, ETL, Node.js, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago Recruiters ...

Automate database administration tasks using scripts (Shell, Python, SQL). Perform database migrations, upgrades, and patching with minimal downtime. Monitor system health, storage, and capacity ...

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Python Sql information

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How much do python sql jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for python sql in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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 jobs require Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles often involve data manipulation, automation, and database management, and may require familiarity with tools like pandas, SQL databases, and data visualization software.

What is a Python SQL job?

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 is the salary of Python and SQL?

The salary for roles involving Python and SQL varies based on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually for mid-level positions. Skills in data analysis, database management, and programming are highly valued in these roles.

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 enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What can I do with Python and SQL?

A Python SQL developer can use Python to automate data processing, build data pipelines, and perform data analysis by connecting to databases using libraries like SQLAlchemy or pandas. They can write and optimize SQL queries to extract, transform, and load data, supporting data-driven decision-making and application development. Knowledge of database management systems and scripting skills are essential for these roles.
More about Python Sql jobs
What cities are hiring for Python Sql jobs? Cities with the most Python Sql job openings:
What are the most commonly searched types of Python Sql jobs? The most popular types of Python Sql jobs are:
What states have the most Python Sql jobs? States with the most job openings for Python Sql jobs include:
Infographic showing various Python Sql job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior Data Engineer (Snowflake, Databricks, Python, Pyspark, SQL and Banking) - NYC, NY - C2C role

Senior Data Engineer (Snowflake, Databricks, Python, Pyspark, SQL and Banking) - NYC, NY - C2C role

Zodiac Solutions

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 19 days ago


Job description

Role: Senior Data Engineer (Snowflake, Databricks, Python, Pyspark, SQL and Banking) 

Work location: New York City, NY (Hybrid, 3 Days in a Week)

Duration: Long term contract-c2c

Job Description:

Responsibilities:

  • Understand technical specifications
  • Business requirements discussion with business analyst and business users
  • Python/SQL Server/Snowflake/Databricks application development and system design
  • Develop and maintain data models and schemas to support data integration and analysis.
  • Implement data quality and validation checks to ensure accuracy and consistency of data.
  • Execution of UT and SIT with business analysts to ensure of high-quality testing
  • Support for UAT with business users
  • Production support and maintenance of application platform

Qualifications:

  • Around 12 years IT industry experience
  • Strong communication skills
  • Agile methodology and SDLC processes
  • Design and Architecture experience
  • Experience working in global delivery model (onshore/offshore/nearshore)
  • Strong problem-solving and analytical skills
  • Self-starter, collaborative team player and works with minimal guidance

Technical Skills:

Mandatory (Strong) -

  • Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD

Plus:

  • PySpark
  • Financial systems/capital markets/credit risk/regulatory application development experience
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com