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Remote Analytics Engineer Jobs in Providence, RI

Data Platform Tech Lead

Fall River, MA ยท Remote

$130K - $150K/yr

Remote (must reside within driving distance of Fall River, MA for ~once-monthly onsite ... This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting ...

This is a role for engineers who enjoy asking "why," digging into complex problems, and ... Analyze existing systems to understand business logic, identify opportunities for improvement, and ...

Technology Operations Engineer II - Remote

Providence, RI ยท On-site +1

$70K - $95K/yr

Root Cause Analytic skills * Ability to think broadly and provide thought leadership * Ability to ... Remote Role: * This position is classified as remote where the associate will perform remote work ...

At Cayenta, our Support Analysts play a critical role in helping customers resolve system issues ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

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Remote Analytics Engineer information

See Providence, RI salary details

$46K

$94.1K

$136.9K

How much do remote analytics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote analytics engineer in Providence, RI is $94,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $119,200.00 per year, depending on experience, location, and employer.

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 is a Remote Analytics Engineer job?

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 in the Remote Analytics Engineer position, and why are they important?

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 most commonly searched types of Analytics Engineer jobs in Providence, RI? The most popular types of Analytics Engineer jobs in Providence, RI are:
What are popular job titles related to Remote Analytics Engineer jobs in Providence, RI? For Remote Analytics Engineer jobs in Providence, RI, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Providence, RI look for? The top searched job categories for Remote Analytics Engineer jobs in Providence, RI are:
What cities near Providence, RI are hiring for Remote Analytics Engineer jobs? Cities near Providence, RI with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in Providence, RI as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $94,133 per year, or $45.3 per hour.
Data Platform Tech Lead

Data Platform Tech Lead

Mondo

Fall River, MA โ€ข Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

Apply now: Data Platform Tech Lead, location is Remote (Hybrid once a month in Fall River, MA). The start date is ASAP for this permanent position.

Job Title: Data Platform Tech LeadLocation-Type: Remote (must reside within driving distance of Fall River, MA for ~once-monthly onsite collaboration)Start Date Is: ASAPDuration: PermanentCompensation Range: $130,000 - $150,000 5% annual bonusBenefits:ย Eligible for Health, Dental, Vision, 401K, PTOMust be authorized to work in the U.S.

Job Description:

Our client, a leading food manufacturer based in Massachusetts, is seeking a Data Platform Tech Lead to own the technical direction of their modern data platform. This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting Analyst) while remaining hands-on, taking technical stories each sprint, and driving the end-to-end data lifecycle โ€” from ingestion through modeling to reporting. The ideal candidate has deep experience with Snowflake, Matillion, and dbt, along with ERP integration experience, ideally with Sage X3, and a background in manufacturing, supply chain, or similar operational environments.

Job Summary:

  • Lead and mentor a team of three (Senior Data Engineer, Analytics Engineer, Reporting Analyst) while remaining hands-on each sprint
  • Own the full data lifecycle: extract data from APIs, files, SaaS applications, and on-prem systems; build and manage ETL/ELT pipelines; ingest, cleanse, transform, and model data; deliver reporting and dashboards
  • Integrate data from the company's ERP (Sage X3) and numerous business-owned applications, bringing together sales, finance, inventory, manufacturing, supply-chain, and operational data
  • Manage and enhance the modern data stack: Snowflake, Matillion, dbt, Power BI, and Python
  • Design scalable architecture and reusable data models aligned with business needs
  • Support the potential evolution/migration of portions of the environment to Microsoft Fabric
  • Work closely with nontechnical business stakeholders to translate business needs into technical solutions
  • Conduct code reviews, establish best practices, troubleshoot pipeline issues, and improve documentation/testing
  • Partner with the OT/manufacturing technology team
  • Turn manual processes into scalable, automated data solutions

Minimum Requirements:

  • 5-7 years of experience in data engineering, data platforms, analytics engineering, or data integration
  • Proven end-to-end data experience โ€” not someone who has only done reporting or only maintained pipelines
  • Advanced SQL and strong cloud data warehouse experience (Snowflake or highly comparable)
  • Hands-on experience with ETL/ELT tools and building scalable pipelines
  • dbt experience strongly preferred
  • Experience building data models across complex business domains (Finance, Operations, Supply Chain)
  • ERP integration experience; Sage X3 experience ideal
  • Manufacturing, supply-chain, inventory, or distribution industry experience
  • Experience leading or mentoring technical team members while remaining hands-on
  • Strong communication skills with the ability to work with nontechnical stakeholders
  • Stable tenure or credible explanations for career transitions
  • Ability to work remotely while attending the Massachusetts office approximately once per month

Preferred Qualifications:

  • Direct Matillion experience
  • Power BI or Tableau experience
  • Python experience
  • Microsoft Fabric experience
  • Experience migrating from on-prem SQL Server environments to a cloud data warehouse
  • Experience partnering with OT or plant/manufacturing technology teams
  • Formal management experience (one-on-ones, performance reviews, employee development)
  • Agile development, automated testing, CI/CD, and version-control experience