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Data Engineer Jobs in Rhode Island (NOW HIRING)

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 establish architectural standards,guide implementation, and enable high-quality data products across ...

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

Required : • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field. • 7+ years of experience in data engineering, data architecture, or platform ...

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 establish architectural standards,guide implementation, and enable high-quality data products across ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Rhode Island

Data Engineer information

See Rhode Island salary details

$43.6K

$127K

$173.8K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in Rhode Island is $127,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Rhode Island?

The most popular types of Data Engineer jobs in Rhode Island are:

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

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

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

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

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

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

What are popular job titles related to Data Engineer jobs in RI?

For Data Engineer jobs in RI, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,033 per year, or $61.1 per hour.

Senior Data Engineer - Fraud Analytics

InterSources Inc

Smithfield, RI • On-site

$101K - $138K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
InterSources Inc is a Small, Woman, and Minority-Owned Business Enterprise with over 18 years of experience in IT Consulting Services. The Senior Data Engineer – Fraud Analytics is responsible for designing, building, and maintaining data solutions that support the research, detection, and analysis of fraud events, partnering with analysts and stakeholders to transform complex datasets into actionable insights.
Responsibilities:
• Design, develop, and optimize data pipelines to support fraud research and analytics use cases
• Research and analyze fraud events by querying and correlating structured and unstructured data across multiple platforms
• Write complex, high-performance SQL queries to extract, transform, and analyze large datasets
• Work extensively with Oracle databases to support enterprise-scale fraud analytics
• Utilize MongoDB for handling semi-structured and unstructured fraud-related data
• Investigate data anomalies, identify fraud patterns, and support root-cause analysis
• Partner with fraud operations, compliance, and analytics teams to translate business questions into technical data solutions
• Ensure data accuracy, consistency, and reliability across fraud datasets
• Document data models, logic, and findings clearly for both technical and non-technical audiences
• Communicate findings effectively through written reports, presentations, and stakeholder discussions
• Support continuous improvement of fraud detection and monitoring processes through data-driven insights
Qualifications:
Required:
• 5+ years of experience in data engineering, analytics, or a related technical role
• Advanced proficiency in SQL, including complex joins, subqueries, performance tuning, and data validation
• Strong hands-on experience with Oracle databases
• Working knowledge of MongoDB or similar NoSQL technologies
• Strong analytical and problem-solving skills with attention to detail
• Excellent written and verbal communication skills, with the ability to explain technical findings to business partners
• Ability to work independently while collaborating across cross-functional teams
Preferred:
• Experience researching fraud events, financial anomalies, risk signals, or suspicious activity
• Experience supporting fraud, risk, compliance, or financial crime analytics
• Familiarity with large-scale data environments and data warehousing concepts
• Exposure to scripting or data-processing languages such as Python
• Experience working in regulated or financial services environments
• Strong critical thinking and investigative mindset
• Ability to prioritize and manage multiple research efforts simultaneously
• Comfortable working with ambiguity and incomplete data
• Collaborative, proactive, and detail-oriented
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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