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Remote Etl Jobs in Rhode Island (NOW HIRING)

Senior Data Engineer

NC · On-site +1

$106K - $144K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ...

Enterprise Data Analyst II

Carolina, RI · Remote

$140K - $181K/yr

... ETL processes. Requires knowledge of customizable workflow solution (JIRA). Requires knowledge of ... This is a remote role that may be hired in several markets across the United States. This job ...

Enterprise Data Analyst II

Carolina, RI · Remote

$140K - $181K/yr

... ETL processes. Requires knowledge of customizable workflow solution (JIRA). Requires knowledge of ... This is a remote role that may be hired in several markets across the United States. This job ...

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.

Solid understanding of data management, ETL processes, business intelligence, analytics, and ... Remote Role: * This position is classified as remote where the associate will perform remote work ...

SQL: Advanced SQL expertise for complex data extraction, manipulation, and ETL processes ... Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval ...

Remote Etl information

What is a remote ETL?

Remote ETL jobs involve working with Extract, Transform, Load (ETL) processes from a remote location, often from home. ETL professionals are responsible for extracting data from various sources, transforming it into a suitable format, and loading it into data warehouses or databases. These roles require skills in data integration tools, programming languages like SQL or Python, and sometimes experience with cloud platforms. Remote ETL jobs allow professionals to collaborate with teams and manage data pipelines without being physically present in an office.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To thrive as a Remote ETL Developer, you need expertise in data integration, database management, and strong SQL skills, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or SSIS and experience with cloud platforms like AWS or Azure are commonly required. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills and qualities are essential for delivering reliable data pipelines and ensuring seamless, efficient data workflows in distributed environments.

What are some common challenges faced by remote ETL professionals, and how can they be overcome?

Remote ETL professionals often face challenges such as coordinating with distributed teams, managing data security, and troubleshooting issues without on-site access. Effective communication tools and regular check-ins can help bridge gaps with team members. To address data security, following best practices for remote access and adhering to company protocols is essential. Additionally, strong documentation and proactive monitoring can make troubleshooting and collaboration more efficient in a remote environment.

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

AspectRemote EtlRemote Data Analyst
Required CredentialsETL certifications, SQL, data warehousing knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentData integration, backend systems, scriptingData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare with data pipelinesBusiness, marketing, finance for insights

Remote ETL specialists focus on designing and maintaining data pipelines, requiring technical skills like SQL and data warehousing. Remote Data Analysts interpret data, create reports, and visualize insights. While both roles work remotely and require SQL, ETL roles are more technical and backend-focused, whereas Data Analysts are more analytical and client-facing. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are remote ETL developers in demand?

Remote ETL developers are in high demand due to the increasing need for data integration and management across industries. Skills in tools like Apache Spark, SQL, and cloud platforms enhance employability, and many organizations are hiring for remote roles to support flexible work arrangements.

What is a remote ETL developer's salary?

A remote ETL developer's salary typically ranges from $70,000 to $120,000 annually, depending on experience, location, and skill set. Professionals with expertise in tools like Apache NiFi, Talend, or Informatica and certifications may earn higher salaries, especially in senior roles or with specialized knowledge.

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

The most popular types of Etl jobs in Rhode Island are:

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

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

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

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

What cities in Rhode Island are hiring for Remote Etl jobs?

Cities in Rhode Island with the most Remote Etl job openings:

Infographic showing various Remote Etl job openings in Rhode Island as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 5% Part Time, and 11% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Senior Data Engineer

NC • On-site, Remote

NinjaOne
Software Development • 201 - 500 employees

$106K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

About the Role

At NinjaOne, we’re looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne’s expanding product offering. You’ll build the pipelines and data foundations that provide line of sight into product health, adoption, and performance turning raw, messy data into clean, usable datasets that data scientists, analysts, and stakeholders across the Product organization can rely on. This is an exciting opportunity to work at the intersection of business and highly technical products, partner with teams across Product and Engineering, and help shape how we use data to guide product decisions in a fast-paced environment.

Location — We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

What You'll be Doing

  • Product Visibility & Health: Drive line of sight into how our products are used and performing by building the data foundation behind product health, adoption, and usage analytics.
  • Data Pipeline Development: Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load data from multiple sources, making it usable for analysts and data scientists across the org.
  • Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare structured and unstructured data for modeling — including product usage, adoption, and customer behavior work.
  • Data Cleaning & Preparation: Own the transformation of raw, messy data into clean, well-structured datasets, including feature engineering support (e.g., creating dimensions, discretizing variables).
  • Product Telemetry & Streaming Data: Build and maintain pipelines for product telemetry, event, and streaming data sources as the team’s needs grow.
  • Complex Systems Fluency: Get familiar with NinjaOne’s distributed product architecture and the data it generates, and translate that complexity into clean, well-modeled datasets that bridge business questions with highly technical products.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data science and analytics teammates and with stakeholders and teams across Product and Engineering to gather requirements and ensure clean, usable data flows to the right people.
  • Other duties as needed.

About You

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • 7+ years of experience in software development, with a strong focus on data engineering and data science.
  • Demonstrated business impact and growth in prior roles
  • Expertise in Python and SQL.
  • Experience building ETL pipelines and managing large-scale data systems.
  • Strong experience with Databricks, dbt, and AWS data services; experience with Unity Catalog is a plus.
  • Comfortable working with structured and unstructured data; experience with product telemetry, event, or streaming data is a plus.
  • Solid understanding of data cleaning, preparation, and feature engineering to support downstream modeling.
  • Experience with Tableau or similar BI tools for dashboarding and visualization.
  • Able to work independently with messy data from sourcing through cleaning to handoff for modeling and comfortable operating in a fast-paced environment.
  • Strong communicator able to work directly with technical and non-technical stakeholders and bridge business needs with highly technical work.

Experience that will make you a standout candidate:

  • Previous experience partnering directly with data scientists or analytics teams on model-ready data pipelines.
  • Experience with product analytics usage metrics, adoption and retention analysis, or telemetry/event data at scale.
  • Understanding of Generative AI and Deep Learning frameworks.
  • Experience with streaming frameworks (e.g., Kafka, Kinesis, Spark Structured Streaming).

About Us
NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries.
The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous application design, and client-server architecture will help you.

What You'll Love

  • We are a collaborative, kind, and curious community.
  • We honor your flexibility needs with full-time work that is hybrid remote.
  • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
  • We help you prepare for your financial future with our 401(k) plan.
  • We prioritize your work-life balance with our unlimited PTO.
  • We reward your work with opportunity for growth and advancement.

Additional Information
This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year. For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

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