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Remote Data Engineering Jobs in Rhode Island (NOW HIRING)

NinjaOne

Data Software Engineer

NC · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent ...

Tiger Analytics Inc.

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Partner with product owners, domain architects, and data engineering teams to translate business ...

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Experience with system analysis, data engineering, or equivalent, with project management and SDLC ...

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... The developer works closely with business stakeholders, analytics teams, and data engineering ...

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · On-site +1

Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building and supporting large-scale, business-critical systems on Public Cloud (Azure/AWS/Google Cloud ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Rhode Island

Remote Data Engineering information

See Rhode Island salary details

$43.6K

$127K

$173.8K

How much do remote data engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote data engineering 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.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Rhode Island? The most popular types of Data Engineering jobs in Rhode Island are:
What are popular job titles related to Remote Data Engineering jobs in Rhode Island? For Remote Data Engineering jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Rhode Island look for? The top searched job categories for Remote Data Engineering jobs in Rhode Island are:
What cities in Rhode Island are hiring for Remote Data Engineering jobs? Cities in Rhode Island with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Rhode Island as of July 2026, with employment types broken down into 70% Full Time, 18% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,033 per year, or $61.1 per hour.

Lead Data Engineer - Databricks & Microsoft Fabric

Lighthouse MTG LLC

Lincoln, RI • Remote

$93K - $123K/yr

Other

Re-posted 12 days ago

Job description

Description

 Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire 


Lead Data Engineer

Databricks & Microsoft Fabric


Overview

Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.

This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.

The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.


Responsibilities

Design and implement modern data platforms using Databricks and Microsoft Fabric
Build and maintain scalable data pipelines and ingestion frameworks
Develop and optimize Spark and PySpark workloads within Databricks
Implement lakehouse and data warehouse architectures
Design and manage data models supporting analytics and reporting
Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
Implement data quality, governance, and security best practices
Provide technical leadership and mentorship to data engineering team members
Optimize performance, reliability, and scalability of data platforms


Requirements


7+ years of experience in data engineering or data platform development 

Strong hands-on experience with Databricks and Apache Spark  

Experience implementing Microsoft Fabric data solutions  

Proficiency in Python and PySpark  

Experience working with Azure data services and cloud-based data platforms  

Experience designing modern lakehouse or data warehouse architectures  

Strong understanding of data pipeline design, ETL/ELT processes, and data modeling


Preferred

Experience supporting AI or machine learning workloads  

Experience working in enterprise data environments  

Familiarity with CI/CD and data platform automation 

Apply