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Python Data Jobs in New Jersey (NOW HIRING)

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

Job Summary : Diverse Lynx is a company seeking a Pyspark/Python Data Engineer to design, develop, and maintain ETL/ELT pipelines. The role involves writing optimized PySpark transformations ...

Data Engineer (W2)

Jersey City, NJ

$119K - $143K/yr

Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures. * Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data ...

New

... data structures. Server-side Python processes utilizing concurrency patterns with asyncio, mutli-processing, and threading. Also, comfortable working with Numpy, Pandas, Python collections, etc Must ...

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... For Python: PYTHON developer responsible for integrating the front-end elements into the ...

They leverage Python's capabilities to handle complex calculations, automate processes, and analyze vast amounts of data. Location: Charlotte, NC & NJ (Onsite) And Dallas TX Pay rate- $60 (Max) No of ...

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Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What job categories do people searching Python Data jobs in New Jersey look for? The top searched job categories for Python Data jobs in New Jersey are:
Infographic showing various Python Data job openings in New Jersey as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
Pyspark/Python Data Engineer

Pyspark/Python Data Engineer

Diverse Lynx

Edison, NJ • On-site

$116K - $139K/yr

Full-time

Posted 8 days ago


Job description

Job Summary:
Diverse Lynx is a company seeking a Pyspark/Python Data Engineer to design, develop, and maintain ETL/ELT pipelines. The role involves writing optimized PySpark transformations, ensuring data quality, and collaborating with cross-functional teams.
Responsibilities:
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Qualifications:
Required:
• Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
• Advanced proficiency in Python (data processing, performance tuning, modular coding)
• Solid understanding of ETL design patterns and data pipeline architecture
• Good working knowledge of SQL for data transformation and analysis
• Experience with data processing in distributed environments
• 3–8 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Preferred:
• Experience with cloud platforms (AWS preferred – S3, Glue, EMR or equivalent services)
• Familiarity with workflow orchestration tools such as Airflow or similar schedulers
• Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
• Knowledge of code versioning (Git) and CI/CD practices
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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