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Remote Data Engineer Jobs in Puerto Rico (NOW HIRING)

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

... remote work. Caring for the world, one person at a time has inspired and united the people of ... Facilitate cross-functional discussions with SAP functional consultants, developers, JJT ...

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Remote Data Engineer information

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Puerto Rico? The most popular types of Data Engineer jobs in Puerto Rico are:
What are popular job titles related to Remote Data Engineer jobs in Puerto Rico? For Remote Data Engineer jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Puerto Rico look for? The top searched job categories for Remote Data Engineer jobs in Puerto Rico are:
Case Review Specialist - PR

Case Review Specialist - PR

OncoHealth

Guaynabo, PR • On-site

Full-time

Posted 8 days ago


Job description

About OncoHealth
OncoHealth is a leading digital health company dedicated to helping health plans, employers, providers, and patients navigate the physical, mental, and financial complexities of cancer through technology enabled services. Supporting more than 14 million people in the US and Puerto Rico, OncoHealth offers digital solutions for treatment review and virtual care across all cancer types.
About the Role
The Case Review Specialist ensures that case documentation is provided by the provider for accurate and timely determinations and communicates with clinical and non-clinical staff to facilitate case discussions.
Primary Responsibilities
  • Flexible to work rotational shifts inside our office hours from 8:00 a.m. - 8:00 p.m. EST to cover the operational needs of the company. Shifts can range anywhere between Monday - Friday 8:00 am to 8:00 pm AST, Saturdays 8:30 am - 5:00 pm AST, and On-Call Sundays (Office hours may change/extend upon operational needs) to include Holidays.
  • Process cases and request/maintain clinical documentation and transmit timely determinations via the company's internal system and/or by phone to the provider and/or member and/or payer
  • Intake Pre-Authorization requests and/or inquiries on existing pre-authorizations via phone, email, fax or by the portal and ensuring they are responded/processed within the established metrics
  • Work collaboratively with clinical and non-clinical staff to facilitate case discussions
  • Fax intake and labeling on weekends/Holidays as needed

About You
  • Bachelor's Degree or relevant experience preferred
  • Fully Bilingual (English and Spanish)
  • Remote/hybrid experience preferred
  • A minimum of 2-4 years' administrative experience and/or customer service or relevant educational attainment required
  • Knowledge in pre-authorizations and health insurance client services departments are preferred
  • Implementation of systems for program effectiveness and productivity required
  • Systems/Tools: MS Office Suite proficient

About the Location
OncoHealth is committed to remote, hybrid or in office work options. Our Team in Puerto Rico reports to the office at least 2 times per month (advance notice provided/mandatory requirement) and can work remotely from home the rest of the days. Employees are welcome to work from the office every day if wanted.
Our Culture
Taking ownership of quick action, critically thinking through the needs, and working well with others are key competencies of team member success. Our leadership is dedicated to building a culture based on respect, clinical excellence, innovation - all with a focused mission of putting patients first!
We offer a full benefit package on your first day, along with a company bonus. You may visit or work from our very modern and engaging offices, and experience a fun, collaborative environment where social activities and community events matter. We enjoy being together!
OncoHealth is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. All employment decisions are based on qualifications, merit, and business need.
The Opportunity
The cost of cancer related medical services and prescription drugs in the United States is expected to reach $246 billion by 2030. OncoHealth has enjoyed rapid growth over the past 3 years and seeks smart, collaborative people to join its team. We have just under 250 team members, so we can move swiftly but precisely to the market needs of our customers. Strongly backed financially by Arsenal Capital Partners & McKesson Corporation, we remain in an investment and growth mode. This means we are open-minded to how we get the work done - now is the perfect time to talk to us!
Our Current Solutions
Through the use of OncoHealth's utilization management system, OneUM, our customers can use a single e-Prior Authorization portal for all oncology drug request and treatments. Our system improves quality of care, reduces provider abrasion and gives health plans visibility into the total cost of oncology treatment.
OncoHealth offers Oncology Insights Pro, an analytic software solution that enables health plans to use data and analytics to improve oncology programs. Using real world data, our engineers normalize data to create analytic dashboards with drill down compatibilities. The data is the paired with expert guidance providing the strategies an insight needed to keep up with the continuing evolving cancer treatment landscape.
OncoHealth offers Pharmacy Consulting services to health plans and pharmaceutical companies. New cancer treatments are entering the market at an unrelenting pace. Since 2018, the FDA approved 121 new cancer applications including 49 novel cancer drug entities. Our Board-Certified Oncology Pharmacologists can help health plans update drug policies, offer utilization management and formulary advice, and development training for staff.
OncoHealth's latest offering is Iris, a digital telehealth platform that delivers personalized, oncology-specific support to navigate the physical symptoms and emotional challenges caused by cancer and cancer treatment. Powered by technology, staffed 24X7, and delivered with empathy, Iris allows patients to connect with trained oncology experts and receive personalized, oncology-specific telehealth support.