Analytics Software Engineer IV

Availity

Senior Analytics Software Engineer designing and implementing cloud-based data pipelines for healthcare analytics at Availity. Collaborating with business leaders to deliver high-quality analytic solutions.

Posted 6/3/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudPySparkPythonScalaSparkTerraform

About the role

Key responsibilities & impact

Design and implement scalable and resilient end-to-end data analytic pipelines
Translate complex analytical concepts into modularized software components to surface specific and actionable insights
Mentor data analysts and data engineers to mature proof-of-concepts and harden them into data analytic solutions
Automate manual reporting and analytic processes to improve efficiency and improve user experience using cloud-native technologies
Investigate healthcare data, including medical procedures, health conditions, and provider practices
Apply business acumen to enhance data quality and curation methodologies to ensure accurate and reliable inputs to analysis and predictive modeling
Identify data abnormalities and their root causes and suggest possible steps for mitigation
Write and maintain unit and integrations testing suites, QA, and UAT scenarios
Contribute to software maintenance and deployment practices, including production code repo. and CI/CD pipeline processes such as git actions and hooks, package and environment creation and maintenance, and updating or implementing infrastructure as code
Coach, mentor, and knowledge share for growth of the team and quality improvement
Work with data analysts and data scientists to apply industry standards and optimize analytic jobs

Requirements

What you’ll need

Bachelor’s degree (preferably Computer Science, Engineering, or other quantitative fields)
7+ years of related experience in designing and implementing production-grade data analytic solutions in Scala, Python, and PySpark
5+ years developing performant data solutions at scale — tuning Spark jobs, optimizing query plans, and designing partition strategies for datasets with hundreds of millions of rows
3+ years of hands-on experience with data analytic cloud services, such as AWS EMR, Airflow, and RedShift
3+ years of leveraging statistical techniques to cross-examine multiple data sources to surface patterns and data abnormalities
3+ years of experience with infrastructure as code (Terraform)
Demonstrated knowledge in software development best practices: Git, linting, unit/integration testing, CI/CD (GitLab CI or equivalent)
Experience mentoring data analysts and data engineers in applying software engineering rigor to analytic work — modularized pipeline design, test-driven development, code review
Excellent communication skills including discussions of technical concepts, conducting peer-programming sessions, and explaining development concepts
Collaborative attitude and ability to plan work, set clear direction, and coordinate tasks across a multi-disciplinary team in a fast-paced environment

Benefits

Comp & perks

Competitive salary
Bonus structure
Generous HSA company contribution
Healthcare, vision, dental benefits
401k match program
Unlimited PTO for salaried associates + 9 paid holidays
19 days of PTO for hourly associates
Reimbursement for gym memberships and wellness programs
Education reimbursement
Paid Parental Leave for birth and adoptive parents
Opportunities for community engagement and volunteering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analytic pipelinesScalaPythonPySparkAWS EMRAirflowRedShiftTerraformunit testingintegration testing

Soft Skills

mentoringcommunicationcollaborationbusiness acumenproblem-solvingcoachingknowledge sharingplanningdirection settingtask coordination

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in quantitative fields