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Python Data Developer Jobs in New Jersey (NOW HIRING)

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and ...

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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 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 Engineer

Jersey City, NJ • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

$125K - $150K/yr

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and SQL.
Responsibilities:
• Will be creating a pipeline and writing in Pyspark – Migrating from legacy platform to new platform
• This is an AWS Migration project – MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it
• Should have Datalake Experience
Qualifications:
Required:
• 5+ years applied experience
• bachelor's degree required
• Python Programming
• Strong skills around object-oriented analysis and design (OOAD)
• data structures
• algorithms
• design patterns
• Hands-on practical experience in system design
• application development
• testing
• operational stability
• Advanced understanding of agile methodologies such as CI/CD
• Application Resiliency
• Security
• Proficient in coding in Python
• PySpark
• Java 17/21
• Spring Boot
• SQL Databases
• Prior hands-on experience in Cloud technologies - AWS, AZURE
• Strong in Python, Spark, Pyspark, AWS, SQL
• Strong in SQL
• Creating a pipeline and writing in Pyspark
• Migrating from legacy platform to new platform
• MUST BE STRONG IN AWS
• Datalake Experience
• Leads MUST be strong in both java & Pyspark (Python + Spark) – 70% Pyspark – 30% Java
• Other 3 resources need to be strong in Python/Spark/Pyspark
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.