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Remote Athena Coding Jobs in Michigan (NOW HIRING)

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Remote Athena Coding information

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

To thrive as a Remote Athena Coder, you need a strong understanding of medical coding principles, ICD-10/CPT coding systems, and familiarity with healthcare compliance, typically supported by a coding certification such as CPC or CCS. Proficiency in using Athenahealth’s electronic health record (EHR) platform and other coding software is essential. Attention to detail, strong organizational skills, and effective remote communication set top performers apart in this role. These skills ensure accurate coding, efficient workflow, and compliance with healthcare regulations, all of which are critical to revenue cycle management and patient care.

What are some common challenges faced by remote Athena Coding professionals, and how can they be addressed?

Remote Athena Coding professionals often encounter challenges such as managing effective communication with team members across different time zones, maintaining focus when working independently, and staying updated with evolving coding best practices for Athena query optimization. To address these, it's important to leverage collaboration tools, schedule regular check-ins, and participate in online training or forums. Building a structured daily routine and actively engaging in team discussions can also help ensure productivity and alignment with project goals.

What is remote Athena coding?

Remote Athena coding refers to working as a medical coder who specializes in using the Athenahealth electronic health record (EHR) system, while performing duties from a remote location. These professionals review patient records and clinical documentation in Athena to assign appropriate medical codes for billing and insurance purposes. Remote Athena coders must be familiar with the Athena platform, medical terminology, and coding systems such as ICD-10-CM, CPT, and HCPCS. This role allows for flexibility and requires strong attention to detail, secure internet access, and compliance with privacy regulations.

What is the difference between Remote Athena Coding vs Remote SQL Developer?

AspectRemote Athena CodingRemote SQL Developer
Required CredentialsKnowledge of AWS Athena, SQL basicsSQL certifications, database knowledge
Work EnvironmentCloud-based, data analysis tasksDatabase management, data querying
Industry UsageData analytics, cloud data platformsDatabase administration, software development
Search & Comparison IntentFocus on cloud-based data querying rolesBroader SQL roles, database jobs

Remote Athena Coding primarily involves working with AWS Athena for cloud-based data querying, requiring familiarity with AWS services and SQL. Remote SQL Developer roles are broader, covering database design, management, and querying across various platforms. While both roles involve SQL skills, Athena Coding is specialized for cloud data analysis, whereas SQL Developers may work on diverse database systems.

What cities in Michigan are hiring for Remote Athena Coding jobs? Cities in Michigan with the most Remote Athena Coding job openings:

Sr & Jr AWS AI/Data Engineers

Reliable Software Resources

Detroit, MI • Remote

$104.80K - $125.80K/yr

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Job description

Position#1
Job Title: Senior AWS AI / Data Engineer
Location: Detroit, MI 
Hire Type: Long-term contract
 
Experience: 7+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel | 
 
Agentic AI
LLMs
Python
AWS Native
Data Pipelines
Structured + Unstructured Data
 
ABOUT THE ROLE
As a Senior AWS AI/Data Engineer at DataFactZ you will architect and deliver enterprise-grade AI and data pipeline solutions for large-scale client engagements. You will lead the design of agentic AI systems, LLM-powered applications, and high-throughput data pipelines on AWS — translating complex business problems into production-ready solutions while mentoring junior engineers.
 
KEY RESPONSIBILITIES
•      Design and build end-to-end data pipelines for ingesting, transforming, and serving structured (SQL, Redshift, Parquet) and unstructured (PDFs, emails, documents, images) data on AWS
•      Architect agentic AI systems using LLMs with tool use, memory, and multi-step reasoning via Amazon Bedrock, OpenAI, or Anthropic Claude
•      Build multi-agent orchestration workflows using LangChain, LlamaIndex, CrewAI, or AutoGen for enterprise automation
•      Design RAG pipelines connecting structured and unstructured data sources to LLMs via vector databases (Pinecone, OpenSearch, pgvector)
•      Lead AWS data architecture across S3, Glue, Lambda, EMR, Athena, Step Functions, and Redshift
•      Develop prompt engineering strategies and fine-tuning approaches for domain-specific LLM customization
•      Mentor junior engineers, lead code reviews, and drive engineering best practices
•      Engage client stakeholders to scope AI/data use cases, define success metrics, and deliver on commitments
 
REQUIRED SKILLS
•      Python: Advanced proficiency for data engineering, pipeline orchestration, and AI integrations
•      AWS services: Deep hands-on experience with S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift, and Bedrock
•      LLMs & Agentic AI: Production experience building LLM-powered agents, tool-calling workflows, and multi-agent systems
•      Data pipelines: Batch and real-time ETL/ELT for large-scale structured and unstructured datasets
•      RAG & vector search: Building retrieval-augmented generation systems with embedding pipelines and semantic search
•      System design: Architecting scalable, secure, cost-efficient cloud-native data and AI systems
•      Leadership: Proven ability to lead technical workstreams and communicate designs to senior stakeholders
 
PREFERRED
•      AWS certifications: Solutions Architect, Data Analytics, or Machine Learning Specialty
•      Document intelligence: AWS Textract or custom document parsing pipelines
•      Multi-modal AI: Experience with vision or document-aware models