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Python Sql Jobs in Philadelphia, PA (NOW HIRING)

PROLIM Global Corporation

Python Developer

Mount Laurel, NJ · On-site

$49.75 - $68.50/hr

Must have 7 years of hands-on experience of Python programming and No SQL queries. Work extensively with MongoDB (NoSQL operations| pipelines| indexing strategies ) for schema design| querying ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

PySpark, including Spark SQL and other Spark APIs Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark SQL and other Spark APIs Testing and debugging ...

Compunnel

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

The role requires advanced Python and SQL expertise along with strong hands-on experience with AWS data services to develop scalable and reliable data engineering solutions. Key Responsibilities: • ...

Zentek Infosoft Inc.

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in PySpark, including Spark SQL and other Spark APIs * Testing and debugging applications with Python test framework tools like Pytest,PyUnit, etc * In-depth knowledge of Python ...

Donato Technologies, Inc

Python Pyspar

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in PySpark, including Spark SQL and other Spark APIs * Testing and debugging applications with Python test framework tools like Pytest,PyUnit, etc * In-depth knowledge of Python ...

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How much do python sql jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python sql in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 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 Philadelphia, PA?

The most popular types of Python Sql jobs in Philadelphia, PA are:

What are popular job titles related to Python Sql jobs in Philadelphia, PA?

For Python Sql jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Philadelphia, PA look for?

The top searched job categories for Python Sql jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Python Sql jobs?

Cities near Philadelphia, PA with the most Python Sql job openings:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Software Engineer | Python & SQL Development | Experienced Hire

Philadelphia, PA • On-site

Susquehanna International Group, LLP
Finance and Insurance • 1 - 5K employees
Learn more about Susquehanna International Group, LLPexternal

$50.75 - $70/hr

Contractor

Posted 16 days ago

Key responsibilities

  • Re-architect and enhance inbound clearing pipelines to normalize data across all asset classes, products, and clearing venues

  • Develop and maintain automated reporting tools related to financing, margin, cash movements, and exposure

  • Support daily clearing workflows and troubleshoot data irregularities to ensure data accuracy for reporting and operational purposes

Job description

Overview
We are looking for a Software Engineer to join our Inbound Clearing team, where you will be a hands-on contributor building the systems that support firmwide inbound clearing workflows, data pipelines, and real-time operational visibility. This role sits at the intersection of technology, financial operations, and treasury workflows, ensuring the firm has accurate, timely, and normalized data to support downstream reporting, reconciliation, and decision-making.
You will partner closely with Operations, Treasury, Trading, and cross-functional engineering teams to modernize the data feeds and inbound clearing processes that power firmwide reporting. Much of your work will focus on improving system resiliency, re-architecting legacy pipelines, and enhancing transparency through better analytics tooling - systems where correctness is not optional and your output is consumed daily by the business.
An ideal candidate brings strong Python and SQL fundamentals, a positive attitude, a passion for solving problems and adding value however possible, and a strong desire to learn the business.
Platform & Project Work
  • Re-architect and enhance inbound clearing pipelines to normalize data across all asset classes, products, and clearing venues
  • Develop and maintain automated reporting tools related to financing, margin, cash movements, and exposure
  • Drive reconciliation and data quality initiatives to ensure accuracy across positions, balances, and trades
  • Collaborate with stakeholders to gather requirements and iterate quickly on enhancements to the clearing and reporting platform
  • Use AI-assisted development tooling actively to improve delivery quality and velocity

Operational Support
  • Support daily clearing workflows and ensure the accuracy of inbound data used for P&L, financing, RWA, margin, and regulatory reporting
  • Troubleshoot data irregularities and partner with Operations to resolve breaks or inconsistencies before they reach the business

What we're looking for
Technical Skills
  • 3-6 years of hands-on development experience with strong Python and SQL fundamentals
  • Comfort designing and querying large, structured datasets; experience building data pipelines or data-intensive services
  • Experience building high-correctness systems where data accuracy matters - reconciliation, reporting, or similar
  • Strong analytical and problem-solving skills, with attention to detail and a proactive approach to improving legacy processes
  • Ability to work independently on multiple projects while maintaining close communication with business stakeholders
  • Excellent communication skills for interacting with cross-functional teams and senior management
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field (relevant experience may substitute for education)

Preferred Qualifications
  • Experience within clearing, settlements, treasury, or other financial operations domains
  • Exposure to large-scale data platforms or distributed systems (e.g., Hadoop, HBase, Druid)
  • A desire to automate manual workflows and build robust, transparent operational systems

Why This Role
  • Work on systems that matter: your pipelines and reporting are consumed daily by Operations, Treasury, and the business, and accuracy is paramount
  • Real end-to-end ownership - you won't be handed narrow tasks; you'll own meaningful pieces of the clearing and reporting platform
  • Opportunity to build, not just maintain - we are actively modernizing legacy pipelines and expanding analytics tooling
  • A non-hierarchical, collaborative environment that empowers developers to make direct business impact
  • Work in an environment that actively invests in AI tooling and expects engineers to use it

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
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