Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Flexible Hours
•Commuter Benefits
•Learning Budget
•Mental Health
•Healthcare
•401k
•Equity
•Flexible Hours
•Commuter
•Learning
•Mental Health
Required Skills
Java
Spring Boot
Angular
Python
SQL Server
Machine Learning
AI/ML
Object-Oriented Design
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
About Us:
We are part of the IDX Group Management Zone within athenahealth's Flex business. Our vision is to support business growth by providing advanced analytics capabilities that analyse, assess, and improve Revenue Cycle Management (RCM) outcomes. We are committed to enhancing customer experiences through advanced analytics and AI-based solutions with supporting technologies to solve complex customer challenges.
Job Summary:
We are seeking a strong Full stack Engineer with expertise in Java, Spring Boot, and Angular as primary skills, along with experience in AI/LLM/ML or Power BI, SSAS, and SQL Server. In this role, you will design, develop, implement, and support solutions built on Java and Angular. You will collaborate with cross-functional teams to successfully implement new features, products, and initiatives. Your expertise will be critical in shaping our existing solutions and delivering scalable, high-quality AIdriven solutions.
Key Responsibilities:
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Own the complete design, development, and implementation of assigned areas
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Demonstrate strong working knowledge and interest in test automation and automated unit testing
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Apply a security-first mindset in design and development • Ensure compliance with data privacy and security regulations
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Possess foundational knowledge in designing and developing machine learning models and AI solutions to address business problems
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Select appropriate machine learning or deep learning models based on problem context and data availability
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Develop, train, test, and validate models using established methodologies and frameworks
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Collaborate with analytics teams, developers, and domain experts to acquire, clean, and preprocess large datasets
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Conduct feature engineering and exploratory data analysis to ensure data quality and model readiness.
Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
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Strong proficiency in Java, Spring Boot, and Angular.
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Solid understanding of Object-Oriented Design and common design patterns.
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Proven experience of at least six plus years in building enterprise-grade applications using Java, Spring Boot, and Angular.
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Working knowledge of any RDBMS, preferably SQL Server.
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Experience in AI/ML engineering with a strong portfolio of projects.
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Proficiency in programming languages such as Python.
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Good understanding of machine learning algorithms, statistical modelling, and data analysis techniques.
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Experience with at least one cloud platform is a plus.
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Working knowledge of Power BI and SSAS is a plus.
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Familiarity with Metis is a plus.
About athenahealth
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
What we can do for you:
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here: athenahealth.com/careers
https://www.athenahealth.com/careers/equal-opportunity
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About Athenahealth
Reviews
3.7
18 reviews
Work Life Balance
4.2
Compensation
3.8
Culture
3.0
Career
3.2
Management
2.8
65%
Recommend to a Friend
Pros
Good work-life balance
Competitive compensation packages
Remote/hybrid work flexibility
Cons
Massive layoff history in 2017
Recently acquired by private equity firm
Uncertainty about job security
Salary Ranges
869 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Junior/L3 · Business Analyst
0 reports
$87,361
total / year
Base
-
Stock
-
Bonus
-
$74,257
$100,465
Interview Experience
6 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 17%
Neutral 83%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Interview
5
System Design Round
6
Onsite/Virtual Interviews
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
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