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Remote Python Developer Graduate Jobs in New Jersey

SAIC

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

Public Trust Potential for Remote Work: ORA_HYBRID Description SAIC is seeking an experienced ... Proficient in Python Programming * Experience managing projects with Git * Strong interpersonal ...

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with modern programming languages such as Java, Python, or similar backend technologies.

Resource Innovations

Energy Engineer

Jersey City, NJ · On-site +1

This position may be remote, with a preferred location in Illinois, Iowa, Massachusetts, New Jersey ... tool development using Python. * Review retro-commissioning and building tune-up project ...

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All JobsPython Developer Graduate JobsRemote Python Developer Graduate JobsRemote Python Developer Graduate Jobs in New Jersey

Remote Python Developer Graduate information

What is a remote Python developer graduate?

A Remote Python Developer Graduate is an entry-level software developer who specializes in programming with Python and works remotely, often from home or another location outside a traditional office. These graduates typically have recently completed a degree or coursework in computer science or a related field and are beginning their careers in software development. Their responsibilities usually include writing and testing Python code, collaborating with teams online, fixing bugs, and learning new technologies and best practices. Remote work enables them to contribute to projects from anywhere, requiring good communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote Python developer graduate?

To thrive as a Remote Python Developer Graduate, you need a solid understanding of Python programming, basic software engineering principles, and ideally a relevant degree or certification. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and frameworks like Django or Flask is typically expected. Strong problem-solving skills, self-motivation, and effective written communication are crucial soft skills for remote collaboration. These skills ensure the ability to deliver high-quality code independently, adapt to remote team workflows, and contribute effectively to software projects.

What are the common challenges faced by remote Python developer graduates when starting their careers, and how can they overcome them?

As a Remote Python Developer Graduate, you may encounter challenges such as effective communication across different time zones, managing your workload independently, and bridging the gap between academic knowledge and real-world coding practices. To overcome these, it’s important to proactively participate in team meetings, regularly seek feedback from mentors, and leverage collaborative tools like version control and project management software. Additionally, dedicating time to continuous learning and real-world coding exercises can help you quickly adapt to industry standards and expectations.

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

AspectRemote Python Developer GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Statistics, Mathematics, or related field, data analysis skills
Work EnvironmentTech companies, startups, software development teamsBusiness, finance, marketing departments, data-driven organizations
Industry UsageSoftware development, tech industry, IT servicesFinance, marketing, consulting, healthcare
Common Search/ComparisonYesYes

Remote Python Developer Graduates typically focus on coding, software development, and programming in Python, often working in tech companies. Remote Data Analyst Graduates analyze data, create reports, and support decision-making in various industries. While both roles require analytical skills and a bachelor's degree, Python developers emphasize coding skills, whereas data analysts focus on data interpretation. The choice depends on your interest in programming versus data analysis.

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

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

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

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

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

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

Remote Python Developer Graduate jobs near you
Infographic showing various Remote Python Developer Graduate job openings in New Jersey as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 19% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

Databricks Engineer / Architect

Jersey City, NJ • Remote

Celersoft
IT Services • 1 - 10 employees
Learn more about Celersoftexternal

Contractor

Posted 6 days ago

Job description

Position: Databricks Engineer / Architect
Employment Type: Contractual
Work Arrangement: Remote
Experience: 10+ years overall, with 4+ years of hands-on Databricks experience
Location: Remote
About the Role
We are seeking an experienced Databricks Engineer / Architect to design, develop, and optimize modern data platforms and large-scale data engineering solutions using Databricks and cloud technologies.
The ideal candidate will have strong hands-on expertise in Databricks, Apache Spark, Python/SQL, Delta Lake, data architecture, ETL/ELT pipelines, and cloud platforms. This role requires someone who can operate at both the engineering and architecture levels—translating business requirements into scalable, secure, and high-performance data solutions.
Key Responsibilities
Design and architect scalable, reliable, and high-performance data platforms using Databricks.
Develop and optimize data pipelines using PySpark, Python, SQL, Spark, and Delta Lake.
Design modern Lakehouse architectures and implement enterprise-grade data solutions.
Develop batch and streaming data pipelines and integrate data from multiple sources.
Implement Delta Lake capabilities including schema evolution, partitioning, optimization, and data lifecycle management.
Work with Databricks Workflows, Jobs, notebooks, clusters, and related platform capabilities.
Design and implement data ingestion, transformation, and orchestration frameworks.
Optimize Spark workloads, Databricks clusters, SQL queries, and data pipelines for performance and cost.
Establish and implement data engineering best practices, coding standards, CI/CD, and deployment processes.
Implement appropriate security, governance, access controls, and data quality mechanisms.
Collaborate with data scientists, analysts, application teams, cloud engineers, and business stakeholders.
Provide technical leadership and mentorship to data engineering teams.
Evaluate existing data architectures and recommend improvements, modernization strategies, and technology adoption.
Troubleshoot complex production issues and provide root-cause analysis and long-term solutions.
Participate in architecture reviews, technical design sessions, and documentation of enterprise data solutions.
Required Technical Skills
Databricks & Data Engineering
Strong hands-on experience with Databricks
Advanced knowledge of Apache Spark / PySpark
Strong proficiency in Python and SQL
Extensive experience with Delta Lake
Experience designing and implementing scalable ETL/ELT pipelines
Strong understanding of Lakehouse architecture and modern data platforms
Experience with batch and real-time/streaming data processing
Cloud Technologies
Strong experience with at least one major cloud platform:
Microsoft Azure - Azure Data Lake Storage, Azure Data Factory, Azure Synapse, Azure Key Vault, Azure DevOps
AWS - S3, Glue, Lambda, IAM, Redshift, CloudWatch
GCP - Cloud Storage, BigQuery, Dataflow, Pub/Sub, IAM
Preferred Qualifications
Databricks certifications such as Databricks Certified Data Engineer or Databricks Certified Data Engineer Professional
Experience with Unity Catalog and Databricks governance capabilities
Experience implementing enterprise Medallion Architecture (Bronze/Silver/Gold)
Experience with structured streaming and event-driven architectures
Knowledge of data modeling and dimensional modeling
Experience with Kafka or other messaging/streaming platforms
Experience with data quality frameworks and observability
Familiarity with MLOps and integration with machine learning platforms
Strong communication, documentation, and stakeholder-management skills
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Equivalent professional experience may be considered.
What We’re Looking For
The successful candidate should be:
A strong hands-on Databricks Engineer who can also think at the architecture level.
Comfortable working independently in a fully remote environment.
Capable of translating complex business requirements into scalable technical solutions.
Strong in problem-solving, troubleshooting, and performance optimization.
An effective communicator who can work with both technical and non-technical stakeholders.
Comfortable providing technical leadership and driving architecture decisions.