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

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

Strong SQL skills and proficiency in at least one programming language (Python preferred ... Handson experience with enterprise data catalog and metadata systems. * AWS certification ...

Data Architect

Johnston, RI · On-site

$64.75 - $83.25/hr

Strong SQL skills and proficiency in at least one programming language (Python preferred ... Hands‑on experience with enterprise data catalog and metadata systems. * AWS certification ...

Sr Talend Data Engineer

Johnston, RI · Hybrid

$115K - $138K/yr

Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala) * Experience with ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Sr Talend Data Engineer

Johnston, RI · Hybrid

$115K - $138K/yr

Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala) * Experience with ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Sr Talend Data Engineer

Johnston, RI · Hybrid

$56 - $74.25/hr

Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala) * Experience with ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Sr Talend Data Engineer

Johnston, RI · On-site

$56 - $74.25/hr

Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala) * Experience with ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Lead Data Engineer

Carolina, RI · Remote

$157K - $223K/yr

Responsible for all phases of data processing system projects, from requirements definition to ... Requires experience with Java, C#, Python, PL/SQL, and SQL. Requires experience with Oracle, DB2 ...

Lead Data Engineer

Carolina, RI · Remote

$157K - $223K/yr

Responsible for all phases of data processing system projects, from requirements definition to ... Requires experience with Java, C#, Python, PL/SQL, and SQL. Requires experience with Oracle, DB2 ...

You'll collaborate with talented operators, engineers, planners, and craftsmen who take pride in ... Experience with additional tools such as SQL, Python, Power BI or SharePoint Skills * Strong ...

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Utilizing R and Python programming experience to develop predictive models and incorporate results in a Tableau dashboard; Building efficient Alteryx workflows and data pipelines to Extract/Transform ...

Showing results 21-40

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 Sep 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 is a Python data developer?

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 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.

Data Architect

Johnston, RI • Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees

$64.75 - $83.25/hr

Full-time

Re-posted 19 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

  1. Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise data interoperability.
  2. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  3. Design and implement data architecture patterns to support realtime streaming solutions using Kafka.
  4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned data models.
  5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  6. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  8. Support enterprise initiatives around realtime data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements

  • Significant experience with canonical data modeling and enterprisewide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Handson experience with Kafka, including event modeling, schema strategy, and realtime pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.
  • Handson experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.