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Data Engineer Jobs in Warren, RI (NOW HIRING)

Behind that mission is a growing technology and data function that helps our clinical, residential, and administrative teams operate efficiently and make informed decisions. We're looking for an ...

Microsoft Fabric Data Engineer

Pawtucket, RI · On-site

$111K - $133K/yr

Mentor junior team members and establish data engineering best practices * Collaborate with business stakeholders across various departments to translate requirements into technical solutions

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives and goals ...

Description Principal Data Engineer - Real-Time Streaming (Flink) Role Summary As a Principal Data Engineer (Real-Time Streaming - Flink), you will be chartered with designing, developing, and ...

Big Data Engineer III (59179)

Providence, RI · On-site

$115K - $138K/yr

Big Data Engineer III is responsible for designing, developing, and maintaining large-scale data processing systems. This role includes building and optimizing data pipelines and ETL processes ...

Principal Data Engineer - Real-Time Streaming (Flink) Role Summary As a Principal Data Engineer (Real-Time Streaming - Flink), you will be chartered with designing, developing, and operating real ...

Showing results 21-40

Data Engineer information

See Warren, RI salary details

$44.3K

$129K

$176.6K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Warren, RI is $129,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $136,800.00 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.
What cities near Warren, RI are hiring for Data Engineer jobs? Cities near Warren, RI with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Warren, RI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,034 per year, or $62 per hour.

$100K - $110K/yr

Full-time

Re-posted 17 days ago


Job description

Amego, Inc.is a leading nonprofit provider of residential, educational, and clinical services for individuals with autism and developmental disabilities across Massachusetts. For over 50 years, we’ve been committed to improving the lives of the individuals we serve through person-centered care, evidence-based programs, and a culture of continuous improvement. Behind that mission is a growing technology and data function that helps our clinical, residential, and administrative teams operate efficiently and make informed decisions. 

We’re looking for an analytics Manager to own how Amego uses data. This is a hands-on, individual contributor role with broad ownership: you’ll partner with leadership to define what we measure, build the data infrastructure and reporting that make those measurements possible, and manage our relationship with our external BI contractor. You’ll also contribute to general IT, and systems work as part of a small, collaborative team. This is an ideal role for an experienced analytics professional who wants the autonomy to shape a data function from the ground up and the variety of working across multiple systems and stakeholders. 

Key Responsibilities:

Analytics Strategy & Stakeholder Partnership 

  • Partner with executive leadership, program directors, finance, HR, and clinical leadership to understand their data needs and translate them into reporting and analytics deliverables 

  • Define and maintain Amego’s key operational, clinical, and financial metrics 

  • Lead recurring reporting cycles (board reports, program performance reviews, compliance reporting) and ad-hoc analysis for leadership decisions 

  • Serve as the internal expert on Amego’s data — what exists, what it means, and what it can answer 

BI Contractor Management 

  • Own the day-to-day relationship with Amego’s external BI contractor 

  • Translate business needs into clear requirements; review deliverables for quality, accuracy, and usability 

  • Coordinate priorities, timelines, and budget; ensure the contractor’s work integrates cleanly with internal systems 

  • Evaluate the BI engagement over time and recommend changes to scope, vendor, or in-house balance as needs evolve 

Hands-On Data Work 

  • Build and maintain SQL queries, data models, and reports against Amego’s operational systems (NetSuite, electronic health records, payroll, SharePoint, and others) 

  • Develop dashboards and self-service reporting in Power BI 

  • Build and maintain data pipelines and integrations using Power Automate, Azure Data Factory, Python, or similar tools 

  • Ensure data quality, integrity, and timeliness; investigate and resolve data discrepancies 

  • Document data sources, definitions, transformations, and reporting logic 

Automation & Process Improvement 

  • Identify manual, repetitive processes across departments and build automation solutions to eliminate them 

  • Build integrations between systems to reduce duplicate data entry and reconciliation work 

  • Support compliance and operational reporting workflows (MassHealth renewals, internal audits, regulatory submissions) 

IT Support & Systems 

  • Provide tier 2 support for escalated issues from staff across Amego’s residential, clinical, and administrative locations 

  • Assist with user account management, permissions, and access provisioning across systems (NetSuite, Microsoft 365, SharePoint) 

  • Contribute to small IT projects: software rollouts, system upgrades, vendor coordination 

  • Help maintain internal documentation, runbooks, and knowledge base content 

Data Governance & Security 

  • Ensure data practices follow Amego’s security policies and HIPAA requirements 

  • Implement and maintain role-based access controls for sensitive data 

  • Establish and document data governance practices appropriate to a growing organization 

Salary Range: $100k-$110k/yearly

#eg1

Preferred Qualifications 

  • Experience with NetSuite data and administration, including ODBC connections and saved searches 

  • Experience administering Microsoft 365, SharePoint, Entra ID (Azure AD), and Power Platform tools 

  • Background in healthcare, human services, or another regulated industry; familiarity with HIPAA 

  • Familiarity with MassHealth, Medicaid, or other public payer data 

  • Experience standing up or significantly maturing an analytics function 

  • Experience in a small-team environment where roles span multiple disciplinesÂ