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Python Data Developer Jobs in Rhode Island (NOW HIRING)

CVS Health

Data Engineer

Woonsocket, RI · On-site +1

$130K - $158K/yr

Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient ... CI/CD, Jenkins, GIT, or DevOps; Java, Python, or R; Agile methodologies or SAFe Software ...

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 ...

CVS Health

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient ... CI/CD, Jenkins, GIT, or DevOps; Java, Python, or R; Agile methodologies or SAFe Software ...

Freedman HealthCare LLC

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

... Server, Oracle SQL Developer, and PL/SQL environments * Experience with Tableau and Excel ... Proficiency in data profiling, manipulation, and transformation using tools such as Pandas, Python ...

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 ...

CVS Health

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

Python programming for data engineering and backend development; Google Cloud Platform (GCP) or similar cloud services; BigQuery, Snowflake, or similar cloud data warehouses; Apache Airflow or ...

Teknor Apex

Microsoft Fabric Data Engineer

Pawtucket, RI · On-site

$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 ...

Troutman Pepper

Senior Data Engineer

Providence, RI · Remote

$107K - $145K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps ...

CVS Health

Staff Data Engineer

Woonsocket, RI · On-site +1

$157K - $236K/yr

Programming in Java, Python, or R;SAS or SQL programming languages;Databases: Oracle, Teradata, or DB2;Spark, PySpark, or Scala;Hadoop and Hive;Data warehousing;Writing Extract/Transform/Load (ETL) ...

CVS Health

Staff Data Engineer

Woonsocket, RI · On-site +1

$179K - $213K/yr

... in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build ... CI/CD, Jenkins, GIT, or DevOps;Cloud technologies: Azure, Amazon Web Services (AWS), or Google ...

CVS Health

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

Programming in Java, Python, or R;SAS or SQL programming languages;Spark, PySpark, and Scala;Hadoop architecture or HDFS commands;Hadoop and Hive;Designing data architectures, including data ...

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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
Principal Data Engineer - Neo4J

Principal Data Engineer - Neo4J

Citizens Bank

Johnston, RI • On-site

Full-time

Posted 16 days ago

Job description


Principal Data Engineer - Graph Data Engineering Neo4j
Role Summary
As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives and goals, with a specialization in graph data engineering and connected data architecture. You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens' business operations.
In this role, you will establish and scale graph-based solutions using Neo4j, enabling relationship-driven insights, network analytics, and advanced data discovery across domains such as fraud detection, risk analysis, and customer intelligence.
Specialized Responsibilities
  • Serve as a key contributor in designing and delivering graph data solutions, partnering with stakeholders to translate business needs into connected data models and graph architectures
  • Engineer and maintain graph database Neo4j, alongside relational and non-relational systems to support hybrid data environments
  • Develop and operationalize relationship-based data models, including nodes, edges, and properties aligned to enterprise business domains
  • Design and implement knowledge graphs and connected data platforms that unify disparate data sources and expose relationships across systems
  • Build and optimize graph ingestion pipelines for batch and streaming data sources, ensuring data freshness and integrity
  • Develop mechanisms and architectures that support business line specific use cases
  • Establish standards and best practices for graph modeling, schema evolution, and governance within the enterprise data ecosystem
  • Review and manage interfaces supporting graph data access including APIs, visualization tools, and analytics platforms
  • Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration

Preferred Technical Expertise
  • Deep expertise in Neo4j platform capabilities, including clustering, security, and enterprise deployment patterns
  • Experience in graph data modeling and ontology design for complex enterprise datasets
  • Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics
  • Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native services
  • Strong understanding of query optimization, indexing, and graph performance tuning
  • Experience with data ingestion frameworks supporting both batch and real-time pipelines
  • Proficiency in Python

Business Outcomes and Impacts
  • Enable enhanced fraud detection and prevention through network-based analysis of entities, transactions, and behaviors
  • Accelerate Customer 360 insights by linking fragmented data across business domains
  • Support real-time decisioning through connected data models and optimized graph queries
  • Drive improved data integrity and lineage visibility through network-based representations
  • Enable faster, more scalable delivery of insight-driven business capabilities through reusable graph models

Preferred Qualifications
  • 8+ years of experience in data engineering, including experience leading engineers and technical teams
  • Proven experience implementing Neo4j in enterprise environments
  • Familiarity with machine learning and AI techniques leveraging graph data
  • Experience working in Agile environments and leading cross-functional delivery teams
  • Experience with visualization and BI tools in conjunction with graph-derived insights

Modernization and Architecture Expectations
  • Advance the organization's data architecture toward connected, relationship-driven models, complementing existing data platforms
  • Establish graph-first design patterns where relationship complexity drives business value
  • Integrate Neo4j into the broader enterprise data ecosystem (cloud, lakehouse, streaming platforms)
  • Promote adoption of knowledge graphs and semantic modeling to improve interoperability and reuse
  • Implement scalable, resilient graph data platforms aligned to enterprise security and compliance standards
  • Standardized graph engineering practices, including modeling guidelines, performance tuning, and operational monitoring
  • Partner with architecture leadership to define the future-state connected data vision, ensuring alignment with digital and AI strategies

About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

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