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Big Data Software Engineer III - Tampa, United States - Availity
Description
Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations.Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.
At Availity, we're not just another Healthcare Technology company; we're pioneers reshaping the future of healthcare With our headquarters in vibrant Jacksonville, FL, and an exciting office in Bangalore, India, along with an exceptional remote workforce across the United States, we're a global team united by a powerful mission.
With over 2 million providers connected to health plans, and processing over 13 billion transactions annually, our influence is continually expanding.
Join our energetic, dynamic, and forward-thinking team where your ideas are celebrated, innovation is encouraged, and every contribution counts. We're transforming the healthcare landscape, solving communication challenges, and creating connections that empower the nation's premier healthcare ecosystem.Reporting to Application Development Manager, the
Big Data Software Engineer III
will work on a dedicated team of engineers developing, enhancing, and maintaining Availity's high transactional Provider Data Management platform.
Sponsorship, in any form, is not available for this position.
Location:
Remote US
Why work on this team:
This team supports a high transactional platform that directly impacts patient experience
This team is working to continually improve process and enhance platform capabilities
What you will be doing:
Participating in daily stand ups at 9:30am ET
Developing a scalable and resilient cloud data platform and scalable data pipelines
Ensuring industry best practices around data pipelines, metadata management, data quality, data governance, and data privacy
Building a highly scalable AWS Infrastructure (from scratch or through 3rd party products) to enable Big Data Processing in the platform
Finding optimization within cloud resource usage to minimize costs while maintaining system reliability, including leveraging reserved instances and spot instances effectively
Finding performance sensitive considerations within development best practices, as well as, troubleshooting across the data platform utilizing tools (e.g., Splunk and New Relic, Cloud Watch, etc.) to ensure performance measurement and monitoring.
Participating in coding best practices, guidelines and principles that help engineers write clean, efficient, and maintainable codeParticipating in code reviews to catch issues, improve code quality, and provide constructive feedback to individuals within the team during code reviews
Working on ETL transformation which includes gathering raw data and files from the client, transforming it into Availity's format and sending down the ETL pipeline for further processing
Working on a team following Agile Scrum principles
Incorporating development best practices
Ensuring your code is efficient, optimized, and performant
Collaborating on programming or development standards
Maintaining technical debt and applying security principles
Innovating with ideas and products to the organization
Performing unit testing and complex debugging to ensure quality
Learning new things & sharing your knowledge with others
Requirements:
Bachelor's degree preferably Computer Science, Engineering, or other quantitative fields
4+ years of related experience in designing and implementing enterprise applications using big data
2+ years of experience working with Java EE
2+ years of experience working with large-scale data and developing SQL queries
2+ years of hands-on experience with AWS cloud services, such as Apache Spark, with Scala, AWS EMR, Airflow, RedShift
3+ years of experience with RESTFul APIs and web services
Excellent communication skills including discussions of technical concepts, soft skills, conducting peer-programming sessions, and explaining development concepts
In-depth understanding of Spark framework, scripting languages (e.g., Python, Bash, ) and programming languages (e.g., SQL, Java, Scala) to design, build, and maintain complex data processing, ETL (Extract, Transform, Load) tasks, and AWS automation.
A firm understanding of unit testing.Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing.
In-depth understanding of GIT or other distributed version control systems.Excellent communication. Essential to performing at maximum efficiency within the team.
Collaborative attitude. This role is part of a larger, more dynamic team that nurtures collaboration.
Strong technical, process, and problem-solving proficiency.
Must have experience with SQL and relational database systems (e.g., Oracle, SQL Server).
Experience in the healthcare industry or another highly regulated field is a
plus
Availity culture and benefits:
Availity is a certified "Great Place to Work", a "Best Workplaces for Technology Companies", a "Best Workplaces for Women" and a "Best Workplaces for Millennials"
Culture is important to us and there are many ways for you to make your mark here
We have several Diversity & Inclusion teams and various ways to engage with fellow Availity associates.
"Availadies", "Beyond Black", "HOLA", "Availity Pride", "VetAvaility" a Young Professionals Group and "She Can Code IT" a group for women in tech are some of the groups you can get involved in.
Availity is a culture of continuous learning. We have many resources and experts in our tech stack and in our industry that can help get you there tooWe offer a competitive salary, bonus structure, generous HSA company contribution, healthcare, vision, dental benefits and a 401k match program that you can take advantage of on day one
We offer unlimited PTO for salaried associates + 9 paid holidays. Hourly associates start at 19 days of PTO and go up from there with all the same holiday benefits.
Interested in wellness? We allow our associates to reimburse up to $250/year for gym memberships, participation in racing events, weight management programs, etc.
Interested in furthering your education? We offer education reimbursementAvaility offers Paid Parental Leave for both moms and dads, both birth parents and adoptive parents.
Want to work for an organization that gives back to the community? You're at the right place Availity partners with various organizations, both locally and nationally, to raise awareness, funds and morale as our staff members volunteer their time and funds to engage the organizations campaign.
Next steps in process:
After you apply, you will receive text/email messages thanking you for applying and then you will continue to receive more text/email messages alerting you as to where you are in the recruitment process.
Interview process:
Recruiter resume review
Manager resume review
Recruiter video interview
Manager video interview
Technical video interview
Engineering leadership video interview
Availity is an equal opportunity employer and makes decisions in employment matters without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances.
NOTICE:
Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility.
Learn more about E-Verify atClick the links below to view Federal Employment Notices.
Family & Medical Leave Act Equal Employment Law Poster Pay Transparency Employee Polygraph Protection Act IER Right to Work Poster Important Notice about Employee Rights to Organize and Bargain Collectively with Their Employers
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