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Python Pandas Jobs in New Jersey (NOW HIRING)

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Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

The position is for a Python Developer in Risk Americas, focusing on the design, development, and ... Extensive experience with libraries such as Pandas, NumPy, and Openpyxl for complex data processing ...

Dellfor Technologies

python developer

Jersey City, NJ · On-site

$80K/yr

Job Title: Python Developer Location: Jersey City, NJ Duration: 6months Note: For resume ... Experience in Pandas to extract and manipulate data * Experience with OO analysis and design

1 point system

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

Python: Expert-level scripting and data manipulation skills (Pandas, PySpark, etc.). * AWS Ecosystem: Hands-on experience with core AWS data services (S3, Glue, Lambda, Redshift, IAM, Athena ...

Coforge

Snowflake Developer

Berkeley Heights, NJ · On-site

$52.50 - $72.25/hr

Job Title - Snowflake Developer Skills - Snowflake, Python, Advanced SQL, CUSUM, Anomaly Detection, Statistics, FDR, Beta-Binomial, ODBC, Pandas, NumPy, ETL, Window Functions, VARIANT Columns, Data ...

New

Sibitalent Corp

Generative AI Engineer

Whippany, NJ · On-site

Strong proficiency in Python and ML libraries (Scikit learn, Pandas, NumPy). * Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering. * Familiarity with building scalable ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source control and collaboration tools (e.g. Git) * Software development / engineering experience a plus

- Zoetis Belgium S.A.

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source control and collaboration tools (e.g. Git) * Software development / engineering experience a plus

Zoetis, Inc.

Data Engineer

Parsippany, NJ · On-site

$105K - $151K/yr

Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source control and collaboration tools (e.g. Git) * Software development / engineering experience a plus

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How much do python pandas jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python pandas in New Jersey is $59.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.

What are the most commonly searched types of Python Pandas jobs in New Jersey? The most popular types of Python Pandas jobs in New Jersey are:
What are popular job titles related to Python Pandas jobs in New Jersey? For Python Pandas jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Python Pandas jobs in New Jersey look for? The top searched job categories for Python Pandas jobs in New Jersey are:
Python Pandas jobs near you
Infographic showing various Python Pandas job openings in New Jersey as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,790 per year, or $59.5 per hour.

Backend Python Developer

Motion Recruitment Partners, LLC

Jersey City, NJ • On-site

Other

Posted 6 days ago

Job description

Grow your career as a Senior Backend Python Developer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
  • 5-7 years of experience developing backend systems and services using Python.
  • Strong proficiency in Python and related libraries (e.g., NumPy, Pandas).
  • Experience building REST APIs and working in microservices or service-oriented architectures.
  • Experience with data processing, ETL pipelines, or data engineering concepts.
  • Familiarity with LLMs and GenAI technologies.
  • Understanding of distributed systems and backend integration patterns.
  • Ability to work independently and collaboratively in a global team.
Desired Skills & Experience
  • Experience with distributed data tools (e.g., Hadoop, Spark, Hive)
  • Knowledge of databases (e.g., MySQL or other relational databases)
  • Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)
  • Background in financial services, banking, or risk environments
  • Experience with AI developer tools such as Copilot
What You Will Be Doing
  • Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture.
  • Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration.
  • Develop data processing pipelines to handle structured and unstructured data.
  • Collaborate with global Technology teams across multiple time zones in a hybrid environment.
  • Apply Object-Oriented Programming (OOP) principles and backend engineering best practices.
  • Drive resolution of complex technical challenges through analysis of system flows and business processes.
  • Ensure solutions align with enterprise architecture, performance, and scalability requirements.
  • Establish and follow standards for coding, testing, debugging, and deployment in backend environments.
  • Perform data extraction, transformation, and analysis to support business use cases.
  • Implement unit testing and TDD to ensure reliability and maintainability of backend services.
  • Contribute to microservices ecosystem, including service integration and inter-service communication.
  • Support the integration of LLMs and GenAI capabilities into backend systems and workflows.
  • Mentor junior developers and promote strong engineering and coding standards.
  • Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards.

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