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Python Sql Jobs in Philadelphia, PA (NOW HIRING)

Marencor

Python/AI/ML Engineer

Malvern, PA · On-site

Expertise with SQL and the Python programming language *Experience with a variety of Python's frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.

Programmers.io

Big Data Engineer

Pennington, NJ · On-site

$56.25 - $74.50/hr

Experience using statistical computer languages (Python, SQL, hive, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge ...

ClifyX

Python AI automation Eng

Mount Laurel, NJ · On-site

Job Summary : ClifyX is seeking a Python AI Automation Engineer to join their team. The role ... • SQL (PostgreSQL, MySQL) • NOSQL databases Company : ClifyX provides innovative business ...

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 ...

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All JobsPython Sql JobsPython Sql Jobs in Philadelphia, PA

Python Sql information

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$13

$59

$87

How much do python sql jobs pay per hour?

As of Jul 11, 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:
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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 July 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Python/ Data Engineer

Texas State Library and Archives Commision

Wilmington, DE • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Python/ Data Engineer (Visa Independent)
Location: Wilmington, DE (Day1 Onsite)
Client: Mphasis
Job Description:
  • 9+ years of professional work experience designing and implementing data pipelines in a cloud environment is required.
  • 5+ years of experience migrating/developing data solutions in the AWS cloud is required.
  • 2+ years of experience building/implementing data pipelines using Databricks or similar cloud database.
  • Expert level knowledge of using SQL to write complex, highly optimized queries across large volumes of data.
  • Hands-on object-oriented programming experience using Python is required.
  • Professional work experience building real-time data streams using Spark and Experience in Spark.
  • Knowledge or experience in architectural best practices in building data lakes

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