Data Engineer AI
Minto, AK · On-site +1
$118K - $142K/yr
A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office. #LI-TS1 #remote Sedgwickis an Equal ...
Data Engineer AI
Minto, AK · On-site +1
$118K - $142K/yr
A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office. #LI-TS1 #remote Sedgwickis an Equal ...
Data Engineer AI
Minto, AK · On-site +1
$118K - $142K/yr
A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office. #LI-TS1 #remote Sedgwickis an Equal ...
Data Engineer AI
Minto, AK · On-site +1
$118K - $142K/yr
A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office. #LI-TS1 #remote Sedgwickis an Equal ...
Remote Health Informatics information
See Alaska salary details
$45.8K - $57.9K
2% of jobs
$57.9K - $70K
10% of jobs
$77.6K is the 25th percentile. Wages below this are outliers.
$70K - $82.2K
21% of jobs
$82.2K - $94.3K
16% of jobs
The median wage is $95.4K / yr.
$94.3K - $106.5K
12% of jobs
$106.5K - $118.6K
7% of jobs
$127.4K is the 75th percentile. Wages above this are outliers.
$118.6K - $130.8K
10% of jobs
$130.8K - $142.9K
9% of jobs
$142.9K - $155K
4% of jobs
$155K - $167.2K
6% of jobs
$167.2K - $179.3K
3% of jobs
$45.8K
$106K
$179.3K
How much do remote health informatics jobs pay per year?
As of Jun 21, 2026, the average yearly pay for remote health informatics in Alaska is $105,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $131,900.00 per year, depending on experience, location, and employer.
What are some common challenges faced by professionals working in remote health informatics roles, and how can they be overcome?
One common challenge in remote health informatics is ensuring secure and efficient access to sensitive health data while working off-site, which requires strong familiarity with data privacy regulations and cybersecurity protocols. Additionally, remote professionals often need to collaborate closely with clinical teams and IT staff across different locations, necessitating excellent communication and project management skills. To overcome these challenges, it's important to stay current with industry best practices, participate in regular virtual meetings, and leverage secure collaboration platforms to maintain strong teamwork and compliance.
What Are Remote Health Informatics Jobs?
A remote health informatics job is a supportive administrative position in health care that allows you to work from home. Your responsibilities involve the development of methods to organize, analyze, and monitor patient records. Your duties are to track patient data, review medical policies and procedures, create and store documents, and work to improve clinical care. Remote health informatics professionals communicate through email and phone calls with IT staff and administrators and have limited direct contact with patients. Opportunities are available in hospitals, medical offices, and health care organizations as directors, managers, and analysts.
What is the difference between Remote Health Informatics vs Remote Medical Coding?
| Aspect | Remote Health Informatics | Remote Medical Coding |
|---|---|---|
| Required Credentials | Bachelor's degree in health informatics, IT, or related field; certifications like RHIA or RHIT | Certification such as CPC, CCS, or CCA; high school diploma or equivalent often required |
| Work Environment | Healthcare organizations, hospitals, clinics, or remote settings involving data management | Medical offices, billing companies, or remote coding jobs for healthcare providers |
| Industry Usage | Used across healthcare IT, data analysis, and health information management | Primarily in medical billing, coding, and reimbursement processes |
Remote Health Informatics focuses on managing healthcare data, improving systems, and supporting clinical decision-making, often requiring a background in health information management. Remote Medical Coding involves translating medical records into standardized codes for billing and insurance, requiring coding certifications. While both roles are remote and healthcare-related, they differ in responsibilities, credentials, and industry applications.
What are the key skills and qualifications needed to thrive as a Remote Health Informatics Specialist, and why are they important?
To thrive as a Remote Health Informatics Specialist, you need a solid background in health information management, data analysis, and familiarity with healthcare regulations, often supported by a degree in health informatics or a related field. Experience with electronic health record (EHR) systems, health information exchanges, and certifications like RHIA or CAHIMS are typically required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex data and collaborating with remote teams. These skills enable accurate data management, regulatory compliance, and informed decision-making in a technology-driven healthcare environment.
What is remote health informatics?
Remote health informatics is the field of managing and analyzing health information data using technology, often from a location outside of traditional healthcare settings. Professionals in this field work with electronic health records, telemedicine platforms, and health data systems to improve patient care, streamline workflows, and ensure data security. Remote roles in health informatics allow individuals to contribute to healthcare innovation and support clinical decisions from anywhere, leveraging digital tools and cloud-based systems. This flexibility makes it possible for healthcare organizations to access specialized expertise regardless of geographic boundaries.
More about Remote Health Informatics jobs
What are the most commonly searched types of Health Informatics jobs in Alaska? The most popular types of Health Informatics jobs in Alaska are:
What job categories do people searching Remote Health Informatics jobs in Alaska look for? The top searched job categories for Remote Health Informatics jobs in Alaska are:
What cities in Alaska are hiring for Remote Health Informatics jobs? Cities in Alaska with the most Remote Health Informatics job openings:
Sedgwick rating
7.5
Based on 308 frontline employees who took The Breakroom Quiz
186th of 261 rated insurance
Job description
By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work
Fortune Best Workplaces in Financial Services & Insurance
Data Engineer AIRole Overview
As a Senior Data Engineer within the Transformation Office, you are the hands-on architect of the data supply chain for our most advanced initiatives. You will be responsible for the "heavy lifting" required to fuel Data Science models and AI applications with high-fidelity data. Your mission is to build the pipelines that bridge our legacy on-prem systems (Mainframes, SQL Server, DB2) with our modern Snowflake environment and AWS/Azure AI stacks. You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems.
Key Responsibilities
Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services.
Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data.
Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including the automated extraction, chunking, and loading of unstructured data into vector stores across AWS and Azure.
Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads.
Legacy "Back-Reach" Engineering: Execute non-invasive data extraction patterns to unlock mission-critical data from decades-old on-premise systems without disrupting core business operations.
Multi-Cloud Orchestration: Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory, ensuring the synchronization of data across our multi-cloud AI posture.
IT & Security Diplomacy: Partner directly with central IT, Database Administrators, and Security teams to solve connectivity hurdles (PrivateLink, IAM, firewalls) and secure "license to operate" for new data flows.
Data Quality for Model Integrity: Implement automated validation and observability layers to detect data drift and quality issues that could compromise the accuracy of production AI and Data Science models.
Cost & Performance Management: Drive the efficiency of our data stack by optimizing storage and query performance in Snowflake, AWS, and Azure to manage the ROI of the Transformation Office.
Direct Stakeholder Collaboration: Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases.
Qualifications
Education: Bachelor's degree in Computer Science, Data Engineering, or a related field is required. A Master's degree is highly desirable.
Proven Execution: 6+ years of hands-on data engineering experience, with a track record of building production-grade pipelines for Data Science and AI in multi-cloud environments.
Snowflake Mastery: Expert-level proficiency in Snowflake architecture, including data sharing, performance tuning, and the integration of Snowflake with external cloud AI services.
Multi-Cloud Proficiency: Advanced, hands-on knowledge of AWS (S3, Glue, Lambda) and Azure (Data Factory, Synapse) data services.
Technical Stack: Mastery of Python, SQL, and PySpark. Deep experience with data orchestration and containerization (Docker).
Legacy Expertise: Proven ability to interface with "old world" tech (on-premise SQL, Mainframe extracts, flat files) and transform it for modern cloud consumption.
AI/DS Fluency: A strong understanding of the specific data needs for Machine Learning (feature engineering) and Generative AI (vectorization and embedding pipelines).
Execution Mindset: A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office.
#LI-TS1 #remote
Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.