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Part Time Athena Coding Jobs (NOW HIRING)

Community Health Program Inc

Registered Nurse

Lee, MA

$32 - $37/hr

... billing codes are correct; other routine office duties as requested. * Assists with rooming ... Experience with Athena is a plus. * Licensed as a RN by the Commonwealth of Massachusetts. Physical ...

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong coding and scripting experience with Python, PowerShell, or similar languages, including ... Working knowledge of AWS Data Management and Pipeline tools, including S3, Lambda, Glue, Athena ...

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Part Time Athena Coding information

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How much do part time athena coding jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for part time athena coding in the United States is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $11.30 and $26.68 per hour, depending on experience, location, and employer.

What is a part time Athena coding?

Part Time Athena Coding jobs typically involve working with the Athena electronic health record (EHR) system, often in a healthcare or medical billing context. These roles may include tasks such as coding medical procedures and diagnoses, ensuring accurate data entry, and reviewing patient information for billing purposes. Working part-time offers flexibility, making it ideal for individuals seeking work-life balance or supplementary income. Familiarity with medical coding standards like ICD-10 and CPT, as well as experience with Athenahealth's software, are usually required. These positions are commonly found in medical offices, billing companies, or remote work environments.

What are some common challenges faced in a part time Athena coding role, and how can they be managed?

One common challenge in a part-time Athena Coding position is balancing workload and meeting deadlines, as part-time schedules may limit the hours available for complex coding tasks and troubleshooting. Communication is also key, as part-time coders often need to coordinate closely with full-time team members to stay updated on project progress and requirements. To manage these challenges, it's important to maintain clear and frequent communication, use collaborative tools efficiently, and prioritize tasks based on project timelines. Many organizations promote flexible work arrangements and provide support systems, such as regular check-ins and mentorship, to help part-time coders integrate successfully with their teams.

What is the difference between Part Time Athena Coding vs Part Time SQL Developer?

AspectPart Time Athena CodingPart Time SQL Developer
Required CredentialsBasic understanding of SQL, cloud data queryingSQL certifications, database management skills
Work EnvironmentCloud-based data analysis, remote or flexibleDatabase environments, often remote or office-based
Industry UsageData analysis, cloud data platformsDatabase management, application development
Common Search/ComparisonPart Time Athena Coding vs Part Time SQL Developer

Part Time Athena Coding focuses on querying data using Amazon Athena in cloud environments, often requiring basic SQL skills. In contrast, Part Time SQL Developers typically have more advanced database management skills and certifications, working with various database systems. While both roles involve SQL, Athena Coding is more specialized for cloud data analysis, whereas SQL Developers may work on broader database development and maintenance tasks.

What are the key skills and qualifications needed to thrive as a part time Athena coder?

To thrive as a Part Time Athena Coder, you need a solid understanding of medical coding standards (such as ICD-10, CPT, and HCPCS), medical terminology, and prior coding or billing experience, often supported by certification like CPC or CCS. Familiarity with Athenahealth's electronic medical record (EMR) platform and coding software is typically required. Strong attention to detail, time management, and effective communication are essential soft skills in this role. These skills ensure accurate coding, compliance with regulations, and efficient processing of medical records in a healthcare setting.
More about Part Time Athena Coding jobs
What are the most commonly searched types of Athena Coding jobs? The most popular types of Athena Coding jobs are:
What job categories do people searching Part Time Athena Coding jobs look for? The top searched job categories for Part Time Athena Coding jobs are:
Part Time Athena Coding jobs near you
Infographic showing various Part Time Athena Coding job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 9% Part Time, and 6% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $40,035 per year, or $19.2 per hour.

Adjunct Associate Faculty, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 17 days ago

Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Artificial Intelligence of Things (AIOT). An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies.

Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation.

Responsibilities

  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.

  • Evaluate, grade student work and assessments as requested by the course Lecturer.

  • Monitor and address student concerns and inquiries.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Graduate degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related).

  • 2+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT).

  • Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization

  • Strong knowledge of AI fundamentals and experience with machine learning applications

  • Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos.

Preferred Skills & Experience

  • University teaching or TA experience, especially in graduate or professional programs.

  • University teaching/TA experience in project-based or lab-based courses.

  • Proficiency with MicroPython for device programming

  • Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal

  • Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns.

  • Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent).

Additional Information

Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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