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Python Data Developer Jobs in New Jersey (NOW HIRING)

Noblesoft Technologies

Python Developer

Rahway, NJ · On-site

$51 - $70.25/hr

Data Engineering Stack: Expert-level proficiency with Databricks, DBT and Apache Airflow. * Programming: Mastery of Python and solid database/SQL expertise. * AWS Cloud Depth: Hands-on experience ...

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Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in New Jersey?

For Python Data Developer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in New Jersey look for?

The top searched job categories for Python Data Developer jobs in New Jersey are:

What cities in New Jersey are hiring for Python Data Developer jobs?

Cities in New Jersey with the most Python Data Developer job openings:

Python Data Developer jobs near you

AWS Lead Data Engineer (AWS | PySpark | Python | Data Lake | Technical Lead)

Infosat IT Services LLC

Newark, NJ • On-site

Other

Posted 21 days ago

Job description

AWS Lead Data Engineer (AWS | PySpark | Python | Data Lake | Technical Lead)

Client: Confidential
Location: Newark, NJ (Hybrid – Minimum 3 Days Onsite/Week)
Employment Type: Contract-to-Hire (C2H)
Experience: 8+ Years (Lead Level)
Interview Process:

  • Round 1: Virtual Technical Interview
  • Round 2: Mandatory Onsite Interview (Non-Negotiable)
Important Submission Requirements
  • Hybrid role – Minimum 3 days/week onsite in Newark, NJ
  • Mandatory onsite interview
  • Must have grown from a hands-on Data Engineer into a Lead role
  • Candidates must be able to explain real hands-on implementation, architecture decisions, and production experience
Job Summary

Prudential is looking for a hands-on AWS Lead Data Engineer to architect, develop, and optimize enterprise-scale cloud data solutions on AWS. This is a technical leadership role requiring deep expertise in AWS, PySpark, Python, and modern data engineering, along with the ability to mentor a team of Data Engineers while remaining actively involved in solution design and implementation.

The ideal candidate will have strong experience building data lakes, scalable ETL/ELT pipelines, cloud-native architectures, and guiding engineering teams through architecture reviews and best practices.

Required Experience
  • 8+ years of Data Engineering
  • 3+ years in Lead or Technical Leadership roles
  • AWS Cloud Data Engineering
  • Data Lake & Data Warehouse Architecture
  • Enterprise Data Platforms
  • Team Leadership & Mentoring
Roles & Responsibilities
  • Design and implement scalable AWS data pipelines and data lake architectures.
  • Build end-to-end solutions for data ingestion, transformation, storage, and analytics.
  • Lead architecture reviews and recommend scalable technical solutions.
  • Mentor and guide a team of 4–5 Data Engineers and QA engineers.
  • Collaborate with data scientists, analysts, and business stakeholders.
  • Lead migration from legacy systems to AWS-based data platforms.
  • Establish standards for data quality, governance, and security.
  • Implement DevOps, CI/CD, and Infrastructure-as-Code practices.
  • Optimize performance and cost of AWS data solutions.
  • Troubleshoot complex production issues and provide technical leadership.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Engineering, or a related field.
  • 8+ years of Data Engineering experience.
  • Strong hands-on AWS data engineering expertise.
  • Advanced Python and PySpark development.
  • Strong SQL skills.
  • Experience with AWS Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, and RDS.
  • Experience building enterprise data lakes and ETL/ELT pipelines.
  • Proven leadership experience mentoring engineering teams.
  • Strong communication and problem-solving skills.
Preferred Qualifications
  • AWS Solutions Architect Certification
  • AWS Data Engineer Certification
  • Experience with real-time streaming technologies
  • Knowledge of data governance and security best practices
  • Experience with Lakehouse architecture and modern data platforms

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