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Python Data Developer Jobs in Montvale, NJ (NOW HIRING)

Senior Software Engineer - Python

New York, NY · On-site

$134K - $176.70K/yr

NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial ...

Senior Quant Developer

Manhattan, NY · Hybrid

$133.90K - $180.20K/yr

You will be the primary NY-based engineer supporting portfolio managers, analysts and quants ... Python (primary), TypeScript/React * Data: Pandas, NumPy, Kafka * Backend: FastAPI, Flask

Sr. Big DATA Developer

Rutherford, NJ · On-site

$54 - $70/hr

Job Title: Sr. Big DATA Developer Work Location Rutherford, NJ * Primary Skill Big Data * Secondary ... Python Good to Have Skills : Apache Spark, Python for DATA, SparkSQL Benefits/perks listed below ...

Senior Quant Developer

New York, NY · On-site

$132.90K - $178.90K/yr

Python (primary), TypeScript/React * Data: Pandas, NumPy, Kafka * Backend: FastAPI, Flask ... Collaborate with London and Sofia-based engineers on cross-team initiatives Stakeholder Engagement ...

AWS Python Developer with Pyspark

Newark, NJ · On-site

$52.50 - $72.50/hr

Python Developer with AWS & Pyspark (It's backfill Role) Location: New Jersey Mode of work: Hybrid ... Design, develop, and maintain data pipelines and ETL workflows using Python, PySpark, and AWS ...

Lead Python Developer

New York, NY · On-site

$153.20K - $188.20K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade ... data processing and analytics using Apache Spark, Databricks, and AWS Glue for large-scale data ...

Analyze datasets using SQL and Python * Support audience segmentation, campaign analytics, and experimentation * Collaborate with business, analytics, and engineering teams * Troubleshoot data ...

Data Engineer

New York, NY · On-site

$125.30K - $150.40K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

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Python Data Developer information

See Montvale, NJ salary details

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How much do python data developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data developer in Montvale, NJ is $61.28, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.62 per hour, depending on experience, location, and employer.

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 are Python Data Developers?

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 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 Montvale, NJ look for? The top searched job categories for Python Data Developer jobs in Montvale, NJ are:
What cities near Montvale, NJ are hiring for Python Data Developer jobs? Cities near Montvale, NJ with the most Python Data Developer job openings:
Senior Software Engineer - Python

Senior Software Engineer - Python

Kunai

New York, NY • On-site

$134K - $176.70K/yr

Full-time

Posted 21 days ago


Job description

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
Location: NYC, New York - Onsite Work Required
We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide.
Key Responsibilities:
  • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica.
  • Design and implement data workflows on Snowflake or comparable cloud data platforms.
  • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations.
  • Write efficient, maintainable, and well-tested Python code following object-oriented principles.
  • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis.
  • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell.
  • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency.
  • Contribute to best practices around code quality, testing, and deployment.

Required Skills & Experience:
  • Strong proficiency in Object-Oriented Python development.
  • Experience designing and executing ETL processes, preferably with Informatica.
  • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery.
  • Solid SQL skills for complex query writing and performance optimization.
  • Proficiency in scripting languages like Shell, Bash, or PowerShell.
  • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts.
  • Familiarity with software development best practices, source control, and CI/CD pipelines.
  • Experience working in Agile environments.
  • Full working proficiency with English (Written and Verbal)

Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline.
  • Prior experience in financial services, especially with data reconciliation or risk-related data workflows

Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow-both personally and professionally-while pushing the boundaries of innovation in the fintech industry.
Minimum Degree Required:
  • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required