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Python Perl Jobs in New York (NOW HIRING)

AT&T

Lead Member of Technical Staff

Middletown, NJ · On-site

$201K - $270K/yr

Utilize MongoDB, RabbitMQ, Oracle, MySQL, J2EE, HTML, XML, JSON, JavaScript, Python, Perl Scripting. Utilize SOAP, Webservice, RESTful services and API. Utilize UNIX and LINUX, Windows, and VM Ware.

Morgan Stanley

Database Engineer

New York, NY

$120K - $170K/yr

Building and maintaining automation using Python, Perl, and Shell * Supporting real-time and batch data pipelines, ETL, and replication * Enhancing monitoring, data capture, and operational tooling ...

Jobsbridge

Sr Cloud Engineer

Jersey City, NJ · On-site

$58.25 - $77.75/hr

High-Availability Backup and Recovery Amazon Web Services (AWS) Azure Networking and Virtual Private Cloud (VPC) Infrastructure as Code Scripting (shell, Java, Python, Perl, Ruby, Puppet, Jenkins ...

AT and T

Lead Member of Technical Staff

Middletown, NJ · On-site

$201K - $270K/yr

Utilize MongoDB, RabbitMQ, Oracle, MySQL, J2EE, HTML, XML, JSON, JavaScript, Python, Perl Scripting. Utilize SOAP, Webservice, RESTful services and API. Utilize UNIX and LINUX, Windows, and VM Ware.

NAVA Software Solutions

Oracle DBA

Jersey City, NJ · On-site

$55.50 - $75.50/hr

Scripting skill Python, Perl, PL/SQL, UNIX Shell. Also experience with Microservices is desirable Demonstrated ability to deliver results and provide good customer experience * Experience in ...

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Python Perl information

What are the key skills and qualifications needed to thrive as a Python/Perl Developer, and why are they important?

To thrive as a Python/Perl Developer, you need strong programming skills in both Python and Perl, a solid understanding of software development principles, and typically a degree in computer science or a related field. Familiarity with version control systems like Git, experience with frameworks (such as Django for Python), and knowledge of databases are commonly required, along with relevant certifications being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and debugging complex code. These skills and qualities are essential for delivering robust, maintainable software solutions and ensuring successful project outcomes.

How do Python-Perl developers typically collaborate with other teams during software development projects?

Python-Perl developers often work closely with cross-functional teams, including front-end developers, QA engineers, and system administrators, to ensure seamless integration of backend scripts and automation tools. Collaboration usually involves regular code reviews, participating in sprint planning meetings, and providing technical support to resolve integration issues. Effective communication and documenting code are key, as Python-Perl scripts may interface with a variety of systems and stakeholders rely on clear guidance to maintain or extend functionality.

What are Python and Perl developers?

Python and Perl developers are professionals who write, debug, and maintain software programs using the Python and Perl programming languages. These developers often work on scripting, automation, data analysis, web development, and system administration tasks. They are proficient in both languages and can leverage their strengths to solve complex problems efficiently. Their expertise is valuable in various industries, including technology, finance, and scientific research.

What is the difference between Python Perl vs Data Analyst?

AspectPython PerlData Analyst
Required skillsProgramming in Python and Perl, scripting, data manipulationData visualization, statistical analysis, Excel, SQL
Work environmentTech companies, software development, data processingBusiness, finance, marketing, research
CertificationsPython/Perl certifications, coding bootcampsData analysis certifications (e.g., CAP, Microsoft Certified)

Python Perl developers focus on scripting, automation, and data processing using programming languages, often in tech environments. Data Analysts interpret data, create reports, and provide insights using statistical tools and visualization. While both roles work with data, Python Perl roles are more technical and coding-intensive, whereas Data Analysts focus on analysis and communication of findings.

What are popular job titles related to Python Perl jobs in New York? For Python Perl jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Perl jobs in New York look for? The top searched job categories for Python Perl jobs in New York are:
What cities in New York are hiring for Python Perl jobs? Cities in New York with the most Python Perl job openings:
Python Perl jobs near you
Python Developer - Jersey City, NJ

Python Developer - Jersey City, NJ

Expert Technology Services

Jersey City, NJ • On-site

$52.50 - $72.25/hr

Contractor

Posted 11 days ago

Job description

Job Summary (List Format):
- Lead the automation and orchestration of complex data workflows using Python.
- Design, develop, and maintain robust, fault-tolerant, and auditable data pipelines across on-prem Oracle 19c systems.
- Replace legacy Perl/PLSQL-based scheduling logic with modern Python-based orchestration using Apache Airflow.
- Build, deploy, and manage Airflow DAGs for complex, interdependent ETL workflows.
- Migrate job logic from Perl, RunMyJob, and PL/SQL scheduling into modular Airflow DAGs.
- Create custom Airflow operators and sensors for integration with Oracle databases, REST APIs, SFTP/FTP file drops, and external triggers.
- Implement error handling, alerting, and retry mechanisms to ensure data quality, traceability, and recoverability.
- Collaborate with DBAs and application teams to understand dependencies, data lineage, and critical workflow paths.
- Develop and maintain job execution logs, audit trails, and SLA monitoring dashboards.
- Participate in code reviews, documentation efforts, and onboarding of new jobs into the orchestration platform.
- Ensure strong debugging capabilities across logs, databases, and filesystems for troubleshooting failed or partial job runs.
- Integrate automation with REST APIs and parameter-driven workflows.
- Preferably, contribute to modernization of legacy workflows and support code-controlled job rollouts using Git/Bitbucket and Jenkins.
- Optionally, bring experience in financial data models and an understanding of data governance, audit, and operational risk in financial systems.