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Software Engineer Data Analyst Jobs in Providence, RI

Principal Software Engineer

Mansfield, MA ยท On-site

$142K - $191K/yr

... cloud, data, analytics, and emerging AI technologies . If you're excited about building ... As a Principal Full Stack Software Engineer , you will be a technical leader within the elluminate ...

Senior Software Engineer

Fall River, MA ยท On-site

$120 - $160/hr

... data, and plant system issues; lead root cause analysis and drive corrective actions that improve ... Mentor Software Engineers and technical team members while promoting knowledge sharing, continuous ...

Senior Software Engineer

Fall River, MA ยท On-site

$125K - $165K/yr

... data, and plant system issues; lead root cause analysis and drive corrective actions that improve ... Mentor Software Engineers and technical team members while promoting knowledge sharing, continuous ...

Principal Software Engineer

Mansfield, MA ยท On-site +1

$142K - $191K/yr

... cloud, data, analytics, and emerging AI technologies . If you're excited about building ... As a Principal Full Stack Software Engineer , you will be a technical leader within the elluminate ...

Principal Software Engineer

Mansfield, MA ยท On-site

$142K - $191K/yr

... cloud, data, analytics, and emerging AI technologies . If you're excited about building ... As a Principal Full Stack Software Engineer , you will be a technical leader within the elluminate ...

Principal Software Engineer

Johnston, RI ยท On-site

$135K - $182K/yr

Quality analysis * Intelligent test generation * Defect detection * Develop and integrate AI ... Strong understanding of data structures and algorithms. * Experience utilizing code quality and ...

Senior Data Analyst

Johnston, RI

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

New

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

New

Principal Software Engineer

Johnston, RI ยท On-site +1

$135K - $182K/yr

Quality analysis * Intelligent test generation * Defect detection * Develop and integrate AI ... Strong understanding of data structures and algorithms. * Experience utilizing code quality and ...

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

New

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Utilizing R and Python programming experience to develop predictive models and incorporate results ... ) Adobe Analytics clickstream data into Tableau to develop actionable end user reporting;

New

Showing results 21-40

Software Engineer Data Analyst information

See Providence, RI salary details

$45K

$131K

$179.3K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Providence, RI is $131,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $138,900.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities near Providence, RI are hiring for Software Engineer Data Analyst jobs?

Cities near Providence, RI with the most Software Engineer Data Analyst job openings:

Principal Software Engineer

eClinical Solutions

Mansfield, MA โ€ข On-site

$142K - $191K/yr

Full-time

Re-posted 27 days ago


Job description

About eClinical Solutions
eClinical Solutions is transforming clinical development with elluminateยฎ, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle-accelerating innovation that ultimately improves patient outcomes.
Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you're excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.
You will make an impact:
As a Principal Full Stack Software Engineer, you will be a technical leader within the elluminate Product Development team. You'll help design and build the core services and user experiences of a next-generation clinical data and analytics platform-while influencing architecture, engineering standards, and technical direction.
This role is ideal for an experienced engineer who enjoys hands-on development, mentoring others, and bringing modern capabilities-including AI-assisted and agentic workflows-into production-grade systems.
Your day to day:
  • Design, develop, test, and deploy scalable, secure, and highly interactive web applications
  • Own and evolve core platform modules, from concept through release and support
  • Influence application and system architecture with a focus on performance, reliability, security, and maintainability
  • Lead by example through clean, well-tested code, thoughtful design reviews, and pragmatic technical decisions
  • Collaborate closely with Product Management, QA, and other engineers throughout the SDLC
  • Provide technical mentorship and guidance to other engineers on the team
  • Diagnoses and resolves complex production issues across distributed systems
  • Ensure solutions meet eClinical Solutions quality standards and applicable industry regulations
  • Contribute to technical documentation including design specs, acceptance criteria, and release notes

AI & Modern Engineering Focus
We're actively incorporating AI-powered capabilities into our platform, and you'll help shape how this is done responsibly and effectively in an enterprise environment. This includes:
  • Integrating LLMs and AI services into .NET- and Python-based systems
  • Designing and implementing AI-assisted workflows, copilots, or intelligent automation features
  • Working with agentic AI patterns (e.g., task orchestration, tool-using agents, workflow automation)
  • Applying prompt engineering, evaluation techniques, and guardrails to ensure reliability and compliance
  • Collaborating with data and platform teams to operationalize AI-not just prototype it

Deep ML expertise is not required-we're looking for strong engineers who understand how to apply AI capabilities in real products.
Take the first step toward your dream career. Here is what we are looking for in this role.
Qualifications:
  • Bachelor's or Master's degree in Computer Science or equivalent practical experience
  • 10+ years in software design and development using the Microsoft technology stack preferred
  • Expert-level proficiency in C#, .NET, and ASP.NET (MVC/Web APIs)
  • Strong experience building full-stack web applications (Angular, TypeScript, HTML, CSS)
  • Solid understanding of software design principles, patterns, and best practices
  • Experience across the full Software Development Lifecycle (Agile preferred)
  • Proven ability to work independently while collaborating effectively in a fast-paced environment
  • Excellent communication, documentation, and technical leadership skills

AI & Platform Experience
  • Hands-on experience integrating LLM-based services (e.g., OpenAI, Azure OpenAI, or similar) into applications
  • Experience using Python and/or .NET alongside AI/LLM workflows
  • Familiarity with agent-based or workflow-driven AI architectures is a strong plus
  • Understanding of secure and responsible AI usage in enterprise systems

Nice to Have
  • Strong SQL expertise (Microsoft SQL Server preferred), including performance tuning
  • Experience with microservices, distributed systems, and cloud platforms (AWS preferred)
  • Secure development experience, including awareness of common vulnerabilities and mitigations
  • Experience with clinical trial data, life sciences, or regulated SaaS environments
  • Experience building data visualizations or analytics-driven user experiences

AI Use Statement
Employees are expected to appropriately leverage company-approved AI tools to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment. AI is intended to augment-not replace-professional judgment, critical thinking, accountability, and decision-making. Accountability for all work remains with the employee.
Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!
eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/
eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!
We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.
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Pay Range
US Pay Ranges
$152,000-$190,000 USD