Senior Software Engineer
Data Operations
Posted on 3/27/2024
Rialtic

51-200 employees

Efficiency-boosting technology for healthcare providers and payers
Company Overview
Rialtic is a forward-thinking company that is actively addressing the complexities of healthcare by providing next-generation technology solutions to reduce administrative burdens and enhance system efficiency. With a team composed of seasoned industry veterans and deep technology experts, Rialtic has a competitive edge in understanding and solving the unique challenges faced by healthcare payers. This focus on efficiency and cost-saving, coupled with their commitment to enabling better patient care, positions Rialtic as a leader in the healthcare technology industry.
Data & Analytics

Company Stage

Series B

Total Funding

$107.8M

Founded

2020

Headquarters

Atlanta, Georgia

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-16%

2 year growth

0%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
Airflow
R
Apache Spark
SQL
Docker
AWS
Pandas
Go
NumPy
Data Analysis
Snowflake
CategoriesNew
Backend Engineering
Full-Stack Engineering
Software QA & Testing
Software Engineering
Requirements
  • 5+ years of hands-on experience as a data-focused software developer
  • Highly proficient with SQL
  • 3+ years of meaningful coding experience with Python
  • 2+ years of meaningful coding experience with a compiled language such as Golang, C#, or C
  • Excellent listening and interpersonal skills
  • Experience with any of the following is a plus: R, Pandas, Numpy, AWS, Docker, Kubernetes, observability tools, Spark, Airflow, dbt, Databricks, Snowflake, healthcare experience, testing and test automation, queueing technologies, HITRUST and/or SOC2 certification
Responsibilities
  • Define and implement a data mapping strategy for healthcare claims and related data
  • Write and test pipeline components, DAGs, and documentation for ETL/ELT, data validation, observability, and error reporting
  • Understand the performance characteristics and storage requirements for data lake, data warehouses, and in/outbound file storage
  • Document the provenance and classification of data sets and metadata, including HIPAA-compliant data de-identification strategy and process
  • Implement and test improvements to slow-running queries, refactor and propose schema changes, migrations, and entirely new tables/data stores
  • Participate in understanding business logic and other requirements for Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs
  • Pilot a new tool to improve the automation and reliability of data processing infrastructure
  • Serve as a peer reviewer for a colleague’s code, participate in an engineering architecture specification review, work with the product management team to refine requirements or break a story down into concrete tasks for implementation
  • Monitor and manage ongoing batch and real-time data operations and troubleshoot issues for clients