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Python Data Developer Jobs in Hope Valley, RI (NOW HIRING)

Whiz Global LLC

Data Warehouse Engineer

Salem, CT · On-site

Data Warehouse Engineer (Informatica) Location: Uncasville, CT (Hybrid) Duration: FTE Experience- 8 ... Develop Python scripts and APIs for automation, data processing, and integration tasks Data ...

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

You will collaborate with data engineering and application development teams to build intelligent ... Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based ...

Eliassen Group

Data Engineer

Smithfield, RI · On-site

$65 - $70/hr

Write performant Python and SQL for data processing, quality, and automation. * Monitor ... Bachelor's degree, preferably in Engineering or Business. Recruitment Transparency Notice Eliassen ...

Mohegan

Data Warehouse Engineer

Uncasville, CT

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise ... Develop Python-based solutions for data extraction, transformation, and automation tasks. Leverage ...

Bespoke Labs

Data Engineer

Warwick, RI · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

Proficiency in Python Business Outcomes and Impacts * Enable enhanced fraud detection and ... data engineering, including experience leading engineers and technical teams * Proven experience ...

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

Proficiency in Python Business Outcomes and Impacts * Enable enhanced fraud detection and ... data engineering, including experience leading engineers and technical teams * Proven experience ...

Citizens

Principal Data Engineer - FLINK

Johnston, RI · On-site

Strong programming skills in Java, Scala, and/or Python with streaming frameworks * Familiarity with schema management * Experience integrating streaming data with downstream systems (data lakes ...

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All JobsPython Data Developer JobsPython Data Developer Jobs in Hope Valley, RI

Python Data Developer information

See Hope Valley, RI salary details

$13

$58

$85

How much do python data developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python data developer in Hope Valley, RI is $58.38, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.30 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 Hope Valley, RI look for? The top searched job categories for Python Data Developer jobs in Hope Valley, RI are:
Python Data Developer jobs near you
Data Warehouse Engineer

Data Warehouse Engineer

Whiz Global LLC

Salem, CT • On-site

Other

Posted 4 days ago

Job description

Job Title:Data Warehouse Engineer (Informatica)
Location:  Uncasville, CT (Hybrid)
Duration: FTE
Experience- 8-20 years

Job Description

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract, Transform, Load) solutions that support strategic decision-making and operational efficiency. This role requires strong expertise in data integration, database management, and modern data engineering practices. The position collaborates closely with business stakeholders and cross-functional teams to gather requirements, implement scalable data solutions, and ensure the availability of high-quality, reliable data assets for business intelligence and analytics initiatives.

Key ResponsibilitiesETL Development and Data Integration
  • Design, develop, and maintain complex ETL workflows using enterprise tools such as Informatica
  • Extract data from diverse source systems, apply transformation logic, and load into data warehouse environments
  • Implement automated validation processes to ensure data accuracy and integrity
  • Develop Python scripts and APIs for automation, data processing, and integration tasks
Data Warehouse Design and Optimization
  • Design and maintain efficient data warehouse structures (schemas, tables, views, materialized views)
  • Perform performance tuning, including query optimization, clustering keys, and partitioning strategies
  • Apply best practices in data modeling and architecture
  • Utilize advanced platform features such as time travel, zero-copy cloning, and data sharing
  • Ensure scalability, efficiency, and optimal system performance
Business Intelligence Support and Collaboration
  • Provide Level III technical support for BI and decision support tools
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Troubleshoot complex data issues
  • Develop reports and visualizations using tools such as Power BI and Cognos
  • Ensure data accuracy, usability, and efficiency for business users
Data Pipeline Development and API Integration
  • Design and implement scalable modern data pipelines
  • Develop Python-based solutions for data ingestion and transformation
  • Integrate systems through APIs and web services
  • Leverage platform capabilities such as:
    • Streams and Tasks
    • Continuous data ingestion (e.g., Snowpipe)
    • External functions for integrations
  • Ensure reliability and scalability in a 24/7/365 enterprise environment
Required Skills & Experience
  • Bachelor’s degree in Computer Science, Engineering, Business, or related field
  • Minimum 5 years of experience in data warehousing, ETL development, and database management
  • Strong expertise with Informatica and BI tools such as Snowflake, Power BI, and Cognos
  • Advanced proficiency in SQL and cloud-based data warehouse technologies
  • Hands-on experience with Snowflake architecture, administration, and optimization
  • Experience using Python for data engineering tasks
  • Knowledge of API development and system integration
  • Strong analytical, problem-solving, and communication skills
  • Demonstrated ability to collaborate effectively across teams
  • Ability to obtain and maintain required gaming licenses in multiple jurisdictions
Preferred Experience
  • Advanced SQL and relational database expertise
  • Deep knowledge of Snowflake ecosystem (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing)
  • Strong understanding of data modeling and architecture principles
  • Experience with API development and integration frameworks
  • Knowledge of governance frameworks such as COBIT and ITIL
  • Solid understanding of Software Development Lifecycle (SDLC) and data engineering best practices
Regards,
Shivani Yadav 
Recruitment Trainee
Whiz Global LLC
Phone: 
shivani.yadav

Address: 1555 Medlock Bridge Road

Suite 100, Johns Creek, GA 30097  

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