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Remote Analytics Engineer Jobs in Rhode Island (NOW HIRING)

Job Overview: The Database Engineer II is a key member responsible for the company's database environment. This role is responsible for the engineering and delivery of effective, scalable, and secure

Senior Data Engineer

Johnston, RI ยท On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You

Senior Data Engineer

Johnston, RI ยท On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You

Lead Data Engineer

Carolina, RI ยท Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data

Senior Data Engineer | Emerging Products

NC ยท On-site +1

$106K - $144K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role

Lead Data Engineer

Carolina, RI ยท Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data

Senior Data Engineer | Emerging Products

NC ยท On-site +1

$106K - $144K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role

Data Engineer II

Carolina, RI ยท On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform

Data Engineer II

Carolina, RI ยท On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform

Data Architect

Johnston, RI ยท Remote

$64.75 - $83.25/hr

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

Showing results 21-40

Remote Analytics Engineer information

See Rhode Island salary details

$44.6K

$91.3K

$132.7K

How much do remote analytics engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote analytics engineer in Rhode Island is $91,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $115,600.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

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

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

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

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

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

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

What cities in Rhode Island are hiring for Remote Analytics Engineer jobs?

Cities in Rhode Island with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Rhode Island as of September 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,251 per year, or $43.9 per hour.

Lead Data Engineer - Databricks & Microsoft Fabric

Lincoln, RI โ€ข Remote

$93K - $123K/yr

Contractor

Re-posted 6 days ago


Job description

Description

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


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 developmentย 

Strong hands-on experience with Databricks and Apache Spark ย 

Experience implementing Microsoft Fabric data solutions ย 

Proficiency in Python and PySpark ย 

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

Experience designing modern lakehouse or data warehouse architectures ย 

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


Preferred

Experience supporting AI or machine learning workloads ย 

Experience working in enterprise data environments ย 

Familiarity with CI/CD and data platform automationย