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Python Data Developer Jobs in Rhode Island (NOW HIRING)

Teknor Apex

Microsoft Fabric Data Engineer

Pawtucket, RI

$111K - $133K/yr

Expert-level proficiency in SQL, Python, and PySpark for manufacturing data transformations * API Integration : Advanced experience with REST APIs, webhooks, and real-time data streaming ...

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

The architect will partner with engineering, platform,analytics, security, and business teams to ... Preferred knowledge in C++, Java, Python, Linux. Candidate should have the ability to work in a ...

NinjaOne

Data Software Engineer

NC · On-site +1

$90K - $170K/yr

About the Role At NinjaOne, we're looking for a skilled Data Engineer to join our team and help ... Python * Proficiency in cloud platforms like AWS, GCP, or Azure, and experience with tools like ...

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Cloud Data Engineer Work Location: Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 ... Proficient in a modern scripting language (preferably Python) for automation of build tasks.

NinjaOne

Senior Data Software Engineer

NC · On-site +1

$123K - $162K/yr

Expertise in Python. * Experience in cloud platforms like AWS, GCP, or Azure, and experience with ... Solid understanding of Microservices Architecture and DevOps principles. * Experience that will ...

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Python Data Developer information

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 are popular job titles related to Python Data Developer jobs in Rhode Island? For Python Data Developer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Rhode Island look for? The top searched job categories for Python Data Developer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Python Data Developer jobs? Cities in Rhode Island with the most Python Data Developer job openings:
Python Data Developer jobs near you

GenAI / NLP Developer

Prophecy Technologies

Woonsocket, RI • On-site

Full-time

Posted 28 days ago

Job description

Job Summary
We are seeking an experienced GenAI / NLP Developer with strong Python and deep learning expertise to design, develop, and deploy Large Language Model (LLM)-based solutions. The role focuses on Generative AI, NLP applications, vector databases, and modern AI frameworks, with exposure to cloud platforms and agentic architectures.
Key Responsibilities
  • Develop, fine-tune, and deploy LLM-based applications using Python.
  • Implement Generative AI solutions using prompt engineering techniques and vector databases.
  • Build, train, and optimize NLP models including text classification, sentiment analysis, and summarization.
  • Utilize frameworks such as LangChain or similar tools for LLM orchestration.
  • Support rapid application development using Streamlit, FastAPI, or Flask.
  • Collaborate with cross-functional teams in an Agile development environment.

Required Skills & Experience
  • 6+ years of overall experience in software development, data analytics, or data science.
  • 2+ years of hands-on experience with deep learning, NLP, and GenAI technologies.
  • Strong proficiency in Python programming.
  • Experience with deep learning frameworks such as TensorFlow and PyTorch.
  • Hands-on experience with Hugging Face Transformers.
  • Practical experience with vector databases and prompt engineering.
  • Solid understanding of Large Language Models (LLMs) and real-world AI applications.
  • Experience deploying AI/ML solutions on Azure or GCP (preferred).
  • Knowledge of agentic or multi-agent architectures (e.g., AutoGen) is a plus.
  • Healthcare domain knowledge is a plus.

Competencies
  • Strong problem-solving and analytical skills
  • Ability to work independently and in collaborative Agile teams
  • Excellent communication and documentation skills
  • Innovative mindset with focus on practical AI solutions

Preferred Skills
  • Experience with AI & GenAI solutions for Business Process Services (BPS)
  • Exposure to cloud-native AI deployments
  • Familiarity with rapid prototyping and proof-of-concept development

Apply