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Data Engineer Data Analyst Jobs in Rhode Island (NOW HIRING)

Senior Data Analyst

Johnston, RI

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

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Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

New

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Data Analyst

Cranston, RI ยท On-site

$70 - $80/hr

RHTP Workforce Data Analyst Before applying for this role, Please the complete job descriptin given below. we'll prefer nearby resource. Location: Rhode Island Job Type: Contract Job Summary Seeking ...

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Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

New

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Utilizing R and Python programming experience to develop predictive models and incorporate results ... ) Adobe Analytics clickstream data into Tableau to develop actionable end user reporting;

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Data Engineer

Smithfield, RI ยท On-site

$65 - $70/hr

Develop robust data models and transformations to support analytics and application workloads ... Bachelor's degree, preferably in Engineering or Business. Recruitment Transparency Notice Eliassen ...

Snowflake Data Engineer - DBT

Johnston, RI ยท On-site

$115K - $138K/yr

Collaborate with business analysts, data architects, and application teams. * Support CI/CD, automated testing, and deployment of data engineering solutions. * Ensure compliance with banking data ...

Engineer and optimize low-latency, high-throughput data pipelines for operational and analytical workloads. * Develop and maintain stateful stream processing applications, including windowing, joins ...

Engineer and optimize low-latency, high-throughput data pipelines for operational and analytical workloads. * Develop and maintain stateful stream processing applications, including windowing, joins ...

RHTP Workforce Data Analyst

Cranston, RI ยท On-site

$80K - $95K/yr

RHTP Workforce Data Analyst General Statement of Duties: At a professional working level, perform analytical assignments related to workforce initiatives within Rhode Island's federally funded Rural ...

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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Rhode Island?

For Data Engineer Data Analyst jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Rhode Island look for?

The top searched job categories for Data Engineer Data Analyst jobs in Rhode Island are:

What cities in Rhode Island are hiring for Data Engineer Data Analyst jobs?

Cities in Rhode Island with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Population Health Data Engineer

Software Technology Inc

Providence, RI โ€ข On-site

$115K - $138K/yr

Full-time

Posted 4 days ago


Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.

Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.

Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance

Education & Experience

  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.