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

Lancesoft

Cloud Data Developer/Engineer

Nutley, NJ · On-site

$60 - $70/hr

Cloud Data Developer/ Engineer Experience 7-10+ years in Data Engineering/Cloud Development. Proven ... Strong programming skills in Python and SQL, with experience in PySpark;working knowledge of R is a ...

MM International

Java/Big Data Developer

New York, NY · On-site

$55.75 - $72.25/hr

Java/Big Data Developer Location: NYC, NY, 2 Bryant Park 3 step iv process 1 hour virtual coding ... Python for scripting and ci/cd Very strong java over python Apache storm Cassandra kafka then ...

Polar IT Services

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 ...

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/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 ...

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All JobsPython Data Developer JobsPython Data Developer Jobs in Montvale, NJ

Python Data Developer information

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How much do python data developer jobs pay per hour?

As of Jun 19, 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 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 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 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 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:
Python Data Developer jobs near you
Technology Lead Python Data Engineer

Technology Lead Python Data Engineer

Citigroup, Inc.

Rutherford, NJ • On-site

$142K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Discover Your Future in Credit Risk Technology
Build systems that shape credit decisions-at scale.
Join a fast-moving Credit Risk Technology team where modern engineering, data, and AI come together to drive real-world financial impact. We operate with a startup mindset-ownership, speed, and experimentation-within the rigor and responsibility of a global financial institution. You'll help design and deliver mission-critical platforms that support credit risk assessment, analytics, and decisioning across the firm.
Job Overview
The Technology Lead Python Data Engineeris a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. You will lead application design and development while partnering closely with risk, data, and platform teams to deliver systems that are performant, resilient, and compliant.
This role blends hands-on development, system architecture, technical leadership, and AI-enabled innovation, with a strong emphasis on microservices, cloud-native design, and enterprise-grade governance.
Key Responsibilities
  • Architect, design, and deliver scalable, Python-based applications supporting credit risk analytics, workflows, and reporting.
  • Partner with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements.
  • Resolve high-impact, complex initiatives through deep analysis of business processes, system flows, and industry standards.
  • Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints.
  • Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
  • Design and evolve microservices-based architectures, ensuring scalability, resiliency, observability, and maintainability.
  • Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk.
  • Serve as technical leader and mentor, coaching mid-level engineers and analysts and allocating work as needed.
  • Apply sound risk and control judgment, ensuring compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

How You'll Work
  • Operate with a startup mindset: ownership, bias for action, and pragmatic innovation.
  • Deliver with enterprise discipline: stability, controls, transparency, and audit readiness.
  • Balance experimentation with responsibility in a high-trust, high-impact environment.
  • Adapt quickly as priorities change while maintaining long-term system integrity.

Core Technical Skills
  • 10-15 years of experience in application development or systems engineering within complex environments.
  • Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
  • Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
  • Proven expertise designing and implementing microservices architectures, including service decomposition, inter-service communication, resiliency patterns, and observability.
  • Strong experience with Docker and Kubernetes, deploying and operating containerized services in production.
  • Deep understanding of system architecture, data flows, and distributed systems.
  • Experience working in Linux environments, including shell scripting and operational troubleshooting.
  • Strong track record implementing unit testing, TDD, and automated quality controls.
  • Subject Matter Expert (SME) in at least one application, platform, or service domain.

AI & Modern Engineering Tools
  • Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta.
  • Experience designing or contributing to LLM-enabled solutions (e.g., copilots, workflow automation, analytics augmentation).
  • Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments.
  • Exposure to modern "vibe coding" practices-leveraging AI-assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor.

Bonus / Differentiating Skills
  • Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive).
  • Hands-on experience with graph databases, particularly Neo4j, for network, relationship, or dependency-driven use cases.
  • Background in credit risk, financial risk management, or banking platforms.
  • Experience modernizing or decomposing legacy monolithic systems in large enterprises.
  • Proven delivery of GenAI / AI-driven solutions in regulated or large-scale environments.

Education
  • Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.
  • Master's degree preferred.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Rutherford New Jersey United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
May 28, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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