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Python Sql Jobs in Pennsylvania (NOW HIRING)

KAIZEN TECHNOLOGIES INC

Python Engineer

Pittsburgh, PA · On-site

Python, Pyspark, Financial Risk Modeling, SQL. : * 9-10 years of experience * Good Proficiency in Python pyspark * Good proficiency in Financial Risk modelling * Good proficiency in SQL and Financial ...

Palnar

Python Application Engineer

Pittsburgh, PA · On-site

... SQL and Python in data science and machine learning space good in finance - Pittsburgh and Lake Mary are available office locations - Team is built in 2020 and growing, about 35 ppl now and 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.

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How much do python sql jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for python sql in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 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 Pennsylvania?

The most popular types of Python Sql jobs in Pennsylvania are:

What are popular job titles related to Python Sql jobs in Pennsylvania?

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

What job categories do people searching Python Sql jobs in Pennsylvania look for?

The top searched job categories for Python Sql jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Python Sql jobs?

Cities in Pennsylvania with the most Python Sql job openings:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,225 per year, or $58.8 per hour.

Sr. Data Analytics Engineer - Internal Audit

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Posted 15 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

17th of 151 rated financial services

Job description

Vanguard's Internal Audit & SOX (IAS) department has an exciting opportunity in our Automation and Analytics team. We're looking for a tech-savvy, innovative individual who's passionate about building scalable data solutions and engineering robust analytics infrastructure. This role is a crucial part of our forward-thinking, dynamic team and is key to delivering automated utilities and data pipelines that provide greater assurance to the organization, increase stakeholder productivity, and deliver deeper insights into the operating effectiveness of our control environment-all of which ultimately support Vanguard's purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
You'll collaborate with a diverse and talented team of centralized and decentralized data analysts, and work closely with our analytics infrastructure and solutions using the latest technologies. The ideal candidate will have a strong background in data engineering, technical communication, and automation development, with hands-on experience in System frontend development, Streamlit, cloud platforms, Python, and data pipeline design.
Responsibilities:
  • Data Engineering & Pipeline Development: Design, build, and maintain scalable data pipelines and ETL processes to support analytics and automation initiatives. Ensure data quality, integrity, and performance across systems.
  • Requirements Gathering and Technical Design: Partner with stakeholders to translate business needs into technical specifications. Design data models, process flows, and system integrations aligned with strategic objectives.
  • Automation Development: Develop and deploy automation tools and scripts (e.g., Python, SQL, Power Apps) to streamline audit and business processes, improve efficiency, and reduce manual effort.
  • Data Visualization: Support the development of reporting front-end interfaces using tools such as Streamlit, hosted on AWS infrastructure. Collaborate with analytics and audit teams to design user-friendly applications that deliver insights and enable interaction with automated utilities and data pipelines.
  • Infrastructure & Systems Integration: Collaborate with IT and analytics teams to implement integrated solutions using cloud platforms (e.g., AWS), databases (e.g., SQL Server), and identity systems (e.g., Active Directory).
  • Process Optimization: Identify and implement opportunities for process improvement through automation and data-driven insights within internal audit workflows.
  • Innovation & Technology Adoption: Stay current with emerging technologies (e.g., GenAI, RPA, AI/ML) and recommend innovative solutions that align with organizational strategies.

What It Takes:
  • Proficiency in Python, SQL, and data engineering tools and frameworks.
  • Experience with data visualization platforms (e.g., Tableau, Power BI), cloud infrastructure (e.g., AWS), and database systems (e.g., SQL Server).
  • Familiarity with RPA, AI/ML concepts, and modern data architecture.
  • Strong communication skills to bridge technical and non-technical stakeholders.
  • Ability to thrive in a fast-paced, ambiguous environment and manage multiple priorities.
  • Strong planning and organizational skills with a focus on execution and delivery.

Qualifications:
  • Minimum of 5 years related technical experience; some working knowledge of audit, risk, and controls.
  • Undergraduate degree in a related field or the equivalent combination of training and experience (e.g., MIS, Information Technology, Data Sciences, Data / Business Analytics).

Special factor:
  • This is a hybrid role - candidates must be commutable to Vanguard's Malvern, PA office.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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