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Athena Coding Jobs in Virginia (NOW HIRING)

Cloud BC Labs

AWS Glue Developer

Reston, VA · On-site

Services include AWS Glue, Athena, S3 Lambda, RDS, etc. * Develop workflows on AWS Glue to develop ... Ensure all elements of the code are fully tested. Qualification: * A Bachelor's or equivalent ...

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Athena Coding information

What is an Athena Coding job?

An Athena Coding job typically involves programming, software development, and problem-solving using various coding languages. This role may include designing, debugging, and optimizing code for applications, websites, or systems. Depending on the industry, responsibilities can range from creating simple scripts to building complex AI-driven solutions. Strong analytical skills, logical thinking, and proficiency in coding languages like Python, Java, or C++ are often required.

What are the key skills and qualifications needed to thrive in the Athena Coding position, and why are they important?

To thrive in an Athena Coding role, candidates typically require a strong background in programming, healthcare workflows, and familiarity with electronic medical record systems, often supported by degrees in computer science or health informatics. Experience with Athenahealth's suite of practice management and billing tools, as well as certifications in relevant technologies, is highly valuable. Strong analytical thinking, communication, and problem-solving skills are crucial for effectively translating clinical needs into technical solutions. These competencies ensure efficient software implementation, user support, and improved healthcare operations.

What are some common challenges faced by professionals in Athena Coding roles?

Professionals in Athena Coding roles often deal with complex healthcare data, evolving regulatory requirements, and the need to balance system customization with standardization. Keeping up-to-date with continuous Athenahealth software updates and ensuring seamless integration with other healthcare platforms can be challenging. You may frequently communicate with clinicians and administrative staff to troubleshoot issues and optimize workflows, so collaboration and adaptability are essential. However, overcoming these challenges provides valuable opportunities to greatly improve healthcare delivery and gain specialized expertise in a growing field.
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Infographic showing various Athena Coding job openings in Virginia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, and 21% Remote job distribution.
Platform Engineer - Big Data

Platform Engineer - Big Data

Noblesoft Technologies

Rockville, VA • On-site

$51.75 - $68.25/hr

Contractor

Posted 29 days ago

Job description

Role: Senior Platform Engineer - Big Data (AWS | EMR | EKS) 

Location: Rockville, MD, Tysons Corner, VA or Woodbridge, NJ or Jersey City, NJ (3 days onsite per week)

Duration: 6 months (long-term extensions)

 

Notes:

 Senior Platform Engineer – Big Data (AWS | EMR | EKS)

  • Build and modernize a large‑scale AWS big data platform (EMR, S3, Athena, Trino) supporting enterprise analytics
  • Help drive platform evolution toward cloud‑native, containerized workloads on AWS EKS (Kubernetes)
  • Work at the intersection of software engineering, big data, and platform engineering — not ETL‑only
  • Design and operate Spark‑based data workloads, optimizing performance, reliability, and cost
  • Implement CI/CD and Infrastructure as Code (Terraform / CloudFormation) for data platforms
  • Ideal for engineers with a strong backend or platform background who’ve grown into big data

Job Description:

Overview

We are seeking a Senior Platform Engineer with deep Big Data experience to help design, operate, and modernize a large‑scale data platform on AWS. This role goes beyond traditional ETL or pipeline development — it is focused on building and evolving the underlying data platform that supports analytics, reporting, and future AI/ML use cases.

The current environment is built primarily on AWS EMR and S3, with a strong query layer using Athena and Trino. The team is actively modernizing the platform and evaluating AWS EKS (Kubernetes) as part of a shift toward more cloud‑native, containerized data workloads.

This role is ideal for an engineer with a software or platform engineering background who moved into big data, rather than a pure ETL developer.

Key Responsibilities

  • Design, build, and operate scalable big data platforms on AWS, with S3 as the core data lake.
  • Develop and optimize Spark‑based workloads on EMR, including performance tuning and cost optimization.
  • Support and enhance federated query engines such as Athena and Trino for large‑scale analytics.
  • Contribute to the modernization of the data platform, including evaluation and adoption of Kubernetes/EKS for data services and workloads.
  • Build and operate data services and platform components using containerized deployments (Docker + EKS).
  • Implement and maintain Infrastructure as Code using Terraform and/or CloudFormation.
  • Design and support CI/CD pipelines for data and platform workloads.
  • Partner with data engineers, analytics teams, and stakeholders to ensure the platform is reliable, performant, and extensible.
  • Monitor and troubleshoot platform issues across clusters, pipelines, and query engines using CloudWatch and related tooling.
  • Continuously evaluate new technologies and propose improvements to the overall data architecture.

Required Qualifications

  • 8+ years of experience in Big Data, Platform Engineering, or Data Engineering roles.
  • Strong hands‑on experience with AWS, including:
    • EMR
    • S3
    • Athena
    • AWS Glue / Glue Data Catalog
  • Solid experience with Spark (PySpark or Scala) and distributed data processing.
  • Strong SQL skills, particularly with large datasets (Athena, Trino, Presto, etc.).
  • Experience with Docker and containerized applications.
  • Working knowledge of Kubernetes, with exposure to AWS EKS strongly preferred.
  • Experience implementing CI/CD pipelines (Jenkins, GitHub Actions, or similar).
  • Infrastructure as Code experience using Terraform and/or CloudFormation.
  • Strong scripting and programming skills (Python preferred).
  • Ability to think at a platform and architecture level, not just task execution.

Nice to Have

  • Experience running Spark on Kubernetes (EKS).
  • Trino/Presto performance tuning experience.
  • Experience preparing data platforms for AI/ML workloads.
  • Observability tooling experience (CloudWatch, Grafana, Prometheus).
  • Background as a software engineer before moving into big data.