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Python Sql Jobs in Philadelphia, PA (NOW HIRING)

Azure Data Engineer

Hamilton, NJ ยท 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

Azure Data Engineer

Hamilton, NJ ยท 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

Python Developer

Mount Laurel, NJ ยท 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 ...

Python Pyspark

Wilmington, DE ยท 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 ...

Python Pyspar

Wilmington, DE ยท 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 ...

Python Pyspark

Wilmington, DE ยท 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 ...

Python - Basic

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

Experience with SQL and relational data concepts (joins, aggregations, performance basics ... Python, Tableau Dashboard, AI and Agentic tools automation, Workflow automation, Risk and Controls

Python Pyspark

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark SQL and other Spark APIs Testing and debugging applications with Python test framework tools like ...

Python PySpark

Wilmington, DE ยท On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark SQL and other Spark APIs Testing and debugging applications with Python test framework tools like ...

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Python Sql information

See Philadelphia, PA salary details

$13

$59

$87

How much do python sql jobs pay per hour?

As of Jul 31, 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 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.
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:
Infographic showing various Python Sql job openings in Philadelphia, PA as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Azure Data Engineer

Tech Tammina

Hamilton, NJ โ€ข On-site

$113K - $136K/yr

Full-time

Re-posted 19 days ago


Job description

Role: Azure Data Engineer
Location: Hamilton, NJ (4 days onsite)
Duration: Long term
Responsibilities
  • Design and develop data pipelines using Azure Data Services and Databricks.
  • 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.
  • Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
  • Collaborate with stakeholders to translate business needs into technical solutions.

Required Skills
  • Strong experience in Azure Data Engineering.
  • Hands-on expertise with Databricks, PySpark, Python SQL.
  • Experience with Azure Fabric, Snowflake, and modern data architectures.
  • Solid understanding of cloud data pipelines, performance tuning, and data governance.
  • Strong communication and stakeholder collaboration skills.