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Python Sql Jobs in Philadelphia, PA (NOW HIRING)

CapTech Consulting

Python Developer

Philadelphia, PA · On-site

$50.75 - $70/hr

Designing, developing, and deploying Python-based applications and systems according to client ... Familiarity with SQL, PostgreSQL, SQL Server, MongoDB, or similar databases . * Experience with ...

CapTech Consulting

Python Developer

Philadelphia, PA · On-site

$50.75 - $70/hr

Designing, developing, and deploying Python-based applications and systems according to client ... Familiarity with SQL, PostgreSQL, SQL Server, MongoDB, or similar databases . * Experience with ...

1 point system

Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Skills required would be Python, SQL, Spark, AWS Infrastructure and CI/CD Pipelines (GitHub). * ETL * Python * SQL * Data pipeline design * Data quality management * Database architecture * Data ...

ibrain technologies, inc

Data Engineer@Malvern, PA

Malvern, PA · On-site

$112K - $134K/yr

Pyspark, Python, SQL, AWS EMR, AWS Glue, AWS Athena, AWS CloudFormation, AWS IAM & S3, AWS SNS, AWS Lambda. Analyze complex business problems, track down required information, document requirements ...

Tata Consultancy Service Limited

Data Scientist

Malvern, PA · On-site

$100K - $135K/yr

... Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. • Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch. • Expertise in feature engineering, predictive modeling, and ...

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Python Sql information

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How much do python sql jobs pay per hour?

As of Sep 12, 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.

Python Developer - Pyspark (Only local to DE)

Wilmington, DE • On-site

InfiCare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about InfiCare Technologiesexternal

$48.75 - $67.25/hr

Other

Re-posted 4 days ago

Job description

Title: Python Developer - Pyspark

Location: Wilmington DE (5 Days Onsite)
Duration: Long Term contract

Experience: 10+ Years

JD:
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 Pytest, PyUnit, etc.
In-depth knowledge of Python frameworks and libraries, such as Django or Flask.
Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage.
Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools.
Experience with data pipeline tools such as Airflow, Kafka, and Jenkins.
Design principles that are executable for a scalable app.
Qualification:
A bachelor's degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
Strong knowledge of cloud concepts, architecture patterns, and best practices.
Proven experience in designing, implementing, and maintaining AWS solutions.
Effective communication and teamwork skills, including the ability to collaborate with cross-functional teams.
Strong problem-solving and analytical abilities.