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Insurance Data Engineer Jobs in Rhode Island (NOW HIRING)

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Data Engineer I (Rhode Island) Hybrid Freedman HealthCare LLC (FHC) is a growing Massachusetts ... Analyze and interpret health insurance exchange data and related datasets to identify patterns ...

Data Engineer

Smithfield, RI · On-site

$65 - $70/hr

... life insurance. Rate: $65.00 to $70.00/hr. w2 #LI-JS1 Responsibilities: * Design, build, and ... data engineering or platform solutions. * Strong hands-on experience with ELT/ETL pipelines across ...

Data Software Engineer

NC · On-site +1

$90K - $170K/yr

About the Role At NinjaOne, we're looking for a skilled Data Engineer to join our team and help ... and vision insurance. We help you prepare for your financial future with our 401(k) plan. We ...

Senior Data Software Engineer

NC · On-site +1

$123K - $162K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our team and ... and vision insurance. We help you prepare for your financial future with our 401(k) plan. We ...

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

We offer health, dental, and vision insurance as well as programs that support your mental health ... Experience with system analysis, data engineering, or equivalent, with project management and SDLC ...

We offer health, dental, and vision insurance as well as programs that support your mental health ... The developer works closely with business stakeholders, analytics teams, and data engineering ...

Programming & Regulatory Reporting * Extract, prepare, and validate data required to support ... Working knowledge of insurance operations, accounting principles, and rate-making concepts.Strong ...

We offer health, dental, and vision insurance as well as programs that support your mental health ... Lead a multidisciplinary engineering and product management team to design, deliver, and optimize ...

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Insurance Data Engineer information

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.
What are popular job titles related to Insurance Data Engineer jobs in Rhode Island? For Insurance Data Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Rhode Island look for? The top searched job categories for Insurance Data Engineer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Insurance Data Engineer jobs? Cities in Rhode Island with the most Insurance Data Engineer job openings:

$80K - $96K/yr

Full-time

Re-posted 9 days ago


Job description

Data Engineer I (Rhode Island)
Hybrid
Freedman HealthCare LLC (FHC) is a growing Massachusetts-based consulting firm with a national footprint. We have helped more than 25 states build and use healthcare data to improve care quality, affordability, and equity. We aim to be the partner of choice for policymakers and changemakers who use data to transform healthcare and promote health, wellbeing, and justice. Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards.
Job Summary:
The Data Engineer I supports healthcare analytics and data engineering projects through development of SQL workflows, reporting solutions, data transformations, and analytic datasets. This is a hybrid role that combines analytics, reporting, and technical data management responsibilities in a collaborative consulting environment.
Working closely with analysts, consultants, health policy experts, and healthcare stakeholders, you will support projects focused on healthcare quality, affordability, access, and equity. Responsibilities may include developing SQL queries, validating and transforming healthcare data, supporting dashboards and reporting deliverables, maintaining ETL workflows, and assisting with development of scalable analytic datasets and data structures.
This role is ideal for someone with a strong analytical mindset who enjoys both problem solving and technical data work, and who is interested in growing across both healthcare analytics and data engineering disciplines.
This is a hybrid position with two days per week in-office in downtown Providence, Rhode Island (Tuesdays and Wednesdays) and three remote days (subject to change).
Duties/Responsibilities:
  • Develop and maintain data pipelines, ETL processes, and workflows to collect, clean, and transform data from various sources into usable formats
  • Ensure data integrity, quality, and accuracy throughout the data processing lifecycle
  • Analyze and interpret health insurance exchange data and related datasets to identify patterns, trends, and insights
  • Generate reports, dashboards, and visualizations to communicate findings effectively to non-technical stakeholders
  • Design, develop, and maintain databases, data models, and schemas for efficient storage and retrieval of data
  • Collaborate with cross-functional teams to understand business requirements and translate them into data solutions
  • Stay up to date with emerging technologies, industry trends, and best practices in data analysis, engineering, and visualization
  • Identify opportunities to improve data infrastructure, processes, and analytics capabilities

Required Skills/Abilities:
  • Knowledge of health insurance, health insurance exchanges, the Affordable Care Act (ACA), customer service, and outreach
  • Knowledge of US healthcare policy, trends, and factors such as eligibility, utilization, cost, and equity
  • Knowledge of state government role in healthcare
  • Strong proficiency in SQL and data analysis, within Microsoft SQL Server, Oracle SQL Developer, and PL/SQL environments
  • Experience with Tableau and Excel experience with Power BI or similar visualization platforms preferred
  • Proficiency in data profiling, manipulation, and transformation using tools such as Pandas, Python, or similar
  • Experience working with cloud or warehouse platforms such as Amazon Redshift preferred
  • Familiarity with additional database platforms and data environments is a plus
  • Excellent problem-solving, critical thinking, and analytical skills, with keen attention to detail
  • Strong communication and collaboration abilities, with the capacity to present complex findings in a clear and concise manner
  • Ability to work effectively in a fast-paced consulting environment

Education and Experience Requirements:
  • Bachelor's or Master's degree in healthcare administration, data science, statistics, or equivalent work experience preferred
  • 2+ years of experience in healthcare analytics, reporting, or related technical roles preferred
  • Experience working with healthcare claims or health insurance exchange data preferred

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer

Note:
  • Vaccination for COVID-19 is required and FHC will consider accommodations for disability- and religious-based reasons.
  • The job description provided above is a general outline and may be subject to modifications based on specific organizational requirements.

Freedman HealthCare, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We strongly encourage applications and inquiries from women, LGBTQIA+ identified persons, Black, Indigenous, People of Color, people with disabilities, and others from historically underrepresented communities. We believe that embracing diversity in our workplace is essential to achieving the best results for our clients and as an organization.