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Senior Python Developer Jobs in Vineland, NJ (NOW HIRING)

Outfront Media

AI Automation Engineer

Fairfield, NJ · On-site

You'll partner with our Senior AI Automation Engineer to embed with business teams across OUTFRONT ... Proficiency in Python, TypeScript/Node, or both. Comfort with SQL. * API integration experience.

Outfront Media

Lead AI Platform Engineer

Fairfield, NJ · On-site

$104K - $137K/yr

Both need a senior engineering owner, and both need to grow into the foundation of how OUTFRONT ... Python shows up in agent infrastructure and integrations. * Hands-on experience with agent ...

Expleo

Desarrollador / a Linux Yocto

Alloway, NJ · On-site

Overview#LI-RM1 Unete a Expleo! | Senior Embedded Linux Developer (Yocto & BSP) Ubicacion ... C / C++ (Python o Rust, valorable) * Git / GitHub * Arquitecturas ARM y x86_64 * Bootloader U-Boot

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Showing results 1-20

All JobsSenior Python Developer JobsSenior Python Developer Jobs in Vineland, NJ

Senior Python Developer information

See Vineland, NJ salary details

$54.6K

$140.9K

$193.5K

How much do senior python developer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for senior python developer in Vineland, NJ is $140,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $162,300.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

What are the key skills and qualifications needed to thrive as a Senior Python Developer, and why are they important?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.
What cities near Vineland, NJ are hiring for Senior Python Developer jobs? Cities near Vineland, NJ with the most Senior Python Developer job openings:
Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Vineland, NJ as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $140,906 per year, or $67.7 per hour.
Senior Applied Data Scientist - Data Architecture & Feature Engineering

Senior Applied Data Scientist - Data Architecture & Feature Engineering

Keysight Technologies, Inc.

Harrisonville, NJ

Other

Posted 28 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

40th of 139 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

What Keysight Technologies employees say

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