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Python Sql Jobs in Philadelphia, PA (NOW HIRING)

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

You will leverage SQL, Python, AWS, and modern analytics technologies to build scalable data products, automate reporting processes, and deliver actionable insights that support regulatory oversight ...

Best Egg

Decisioning Execution Analyst

Wilmington, DE · Remote

$120K - $140K/yr

Use Python, SQL, Excel, and reporting tools to automate repeatable processes where appropriate. * Contribute to scalable reporting, testing, and implementation support processes as team needs evolve.

Best Egg

Decisioning Execution Analyst

Wilmington, DE · On-site +1

Use Python, SQL, Excel, and reporting tools to automate repeatable processes where appropriate. * Contribute to scalable reporting, testing, and implementation support processes as team needs evolve.

USM

Perl /Python scripter

Philadelphia, PA · On-site

Perl /Python scripter Location: Oaks, PA Duration: Long Term Administrative knowledge of BMC ... Perl, Java, basic knowledge of Unix, Oracle sql, able to write simple PLSQL statements Required ...

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All JobsPython Sql JobsPython Sql Jobs in Philadelphia, PA

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$13

$59

$87

How much do python sql jobs pay per hour?

As of Jul 14, 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.
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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.
Senior Applied Data Scientist - Data Architecture & Feature Engineering

Senior Applied Data Scientist - Data Architecture & Feature Engineering

Keysight Technologies, Inc.

Harrisonville, NJ

Other

Re-posted 17 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

41st of 142 rated electronics manufacturers

Job description

Overview

Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreabout what we do. 

Our award-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.


About Keysight AI Labs

Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems - from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows.

About the AI Team 

Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.

About the Role

We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models.


Responsibilities

  • Partner with internal experts to identify critical data sources and define ML-relevant features

  • Architect and build scalable data lakes/databases for standardized and efficient cross-org data access

  • Clean, align, normalize, and integrate data from simulations, measurements, and operational systems

  • Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows

  • Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights

  • Ensure data governance, lineage, metadata management, and compliance

  • Support experiment design, hypothesis testing, and statistical modeling

  • Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring

  • Present results and actionable recommendations to product and R&D stakeholders


Qualifications

Required Qualifications

  • Master’s in Data Science, Statistics, CS, EE, or related quantitative field

  • 5+ years of experience as an applied data scientist or hybrid DS/DE role

  • Expert proficiency in Python, SQL, and data manipulation libraries

  • Strong background in statistics, algorithms, and data structures

  • Experience with relational + NoSQL databases and designing scalable data architectures

  • Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop)

  • Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes)

  • Experience with cloud platforms: Azure / AWS / GCP

  • Clear track record of driving data-to-value outcomes

Desired Qualifications

  • Experience with measurement or simulation-heavy domains (e.g., wireless, electronics, semiconductor)

  • Familiarity with deep learning frameworks and ML for time-series or unstructured data

  • Visualization skills (e.g., Power BI, Tableau, Plotly)

  • Knowledge of data governance, lineage, metadata management tools

  • Experience with microservices and APIs

  • Open-source contributions or publications

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.*** 

Qualifications:

Required Qualifications

  • Master’s in Data Science, Statistics, CS, EE, or related quantitative field

  • 5+ years of experience as an applied data scientist or hybrid DS/DE role

  • Expert proficiency in Python, SQL, and data manipulation libraries

  • Strong background in statistics, algorithms, and data structures

  • Experience with relational + NoSQL databases and designing scalable data architectures

  • Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop)

  • Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes)

  • Experience with cloud platforms: Azure / AWS / GCP

  • Clear track record of driving data-to-value outcomes

Desired Qualifications

  • Experience with measurement or simulation-heavy domains (e.g., wireless, electronics, semiconductor)

  • Familiarity with deep learning frameworks and ML for time-series or unstructured data

  • Visualization skills (e.g., Power BI, Tableau, Plotly)

  • Knowledge of data governance, lineage, metadata management tools

  • Experience with microservices and APIs

  • Open-source contributions or publications

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.*** 

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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