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Python Data Jobs in New Jersey (NOW HIRING)

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

The ideal candidate will have extensive hands-on experience building scalable data pipelines using Python and AWS cloud services. An active AWS Certification and exceptional communication skills (10 ...

Sr. Java Developer - IV

Jersey City, NJ · On-site

$62.75 - $80/hr

JAVA, JEE, Spring, Hibernate, Python, Data modeling, Apache Spark & Apache Tomcat, Sybase/Oracle, GXT/GWT or other UI frameworks, REST/SOAP Web Services, Unix/Linux, Perl, Shell Scripting ...

Python Developer

Mount Laurel, NJ · On-site

$49.75 - $68.50/hr

Ensure data quality| consistency| and governance throughout the development lifecycle. Troubleshoot and resolve performance issues across Python| Spark| and database layers. Participate in Agile ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Ensure data quality| consistency| and governance throughout the development lifecycle. Troubleshoot and resolve performance issues across Python| Spark| and database layers. Participate in Agile ...

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 ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ / Dallas, TX / Tampa, FL / Boston, MA Duration: 12 ... Develop and support data pipelines, automation frameworks, and integration solutions. * Contribute ...

python developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic ...

... Python, Data Bricks, Azure Data Lake. • Good data analysis skill and testing the E2E Data pipeline within the project. • Understand & use the Data Mapping with underlying Business Rules and ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

Python Developer

Newark, NJ · On-site

$52.50 - $72.50/hr

... large amount of data (Query performance). * Should be able to cover API development in Python ... Closely working with other developers, protect owners and testers to provide suggestive fixes.

Showing results 21-40

Python Data information

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 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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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 September 2026, with employment types broken down into 58% Full Time, 21% Part Time, and 21% Contract. Highlights an 100% In-person job distribution.

Data Engineer (AWS & Python)

Newark, NJ • On-site

1 point system
IT Services • 51 - 200 employees

$119K - $143K/yr

Contractor

Re-posted 11 days ago


Job description

Interview Process: 1st Round Video | 2nd Round Face-to-Face (F2F)

Position Overview

We are seeking a highly skilled and communicative Data Engineer to join our team on a hybrid basis in the NY/NJ area. The ideal candidate will have extensive hands-on experience building scalable data pipelines using Python and AWS cloud services. An active AWS Certification and exceptional communication skills (10/10) are required for this role as you will interact regularly with technical and non-technical stakeholders.

Key Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust, automated ETL/ELT pipelines using Python and AWS technologies.
  • Cloud Architecture: Optimize data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, Redshift, EMR, or Athena.
  • Data Modeling & Optimization: Write complex SQL queries and design scalable data models and data warehouse solutions for downstream analytics.
  • Collaboration & Integration: Partner with cross-functional teams, analysts, and software engineers to ensure data accuracy, security, and availability.
  • Performance Tuning: Monitor, troubleshoot, and optimize pipeline performance and database queries to handle large datasets efficiently.

Required Qualifications & Skills

  • Technical Expertise:
    • Proven experience as a Data Engineer building production-grade data pipelines.
    • 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, CloudWatch).
    • SQL & Data Warehousing: Advanced proficiency in SQL and relational/non-relational databases.
  • Certifications: Active AWS Certification required (e.g., AWS Certified Data Engineer, AWS Solutions Architect, or Developer Associate).