Rialtic is hiring a
Senior Software Engineer

Summary

The job is for a Senior Software Engineer focusing on data stack at Rialtic, Inc., a health insurance software platform company. The role involves working with large healthcare organizations to improve the revenue cycle and reduce administrative waste. The position is remote or based in Atlanta.

Requirements

• 5+ years of hands-on experience as a data-focused software developer, including experience modeling, building, and evolving ETL/ELT data pipelines, warehouses/lakes, and other components of the data stack
• 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, and you consider yourself a lifelong learner

Responsibilities

• Work with clients and prospective clients to 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
• Partner with our cloud/SRE team to understand the performance characteristics and storage requirements for our data lake, data warehouses, and in/outbound file storage
• Assist our infosec team in documenting the provenance and classification of data sets and metadata, including our 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 for our transactional, operational, and analytical data
• Participate with internal and external stakeholders to understand the business logic and other requirements for our Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs
• Pilot a new tool (either something you helped build in SQL, Python, Go, or other languages, or a modern data stack tool from an open-source project or a third-party vendor) to help improve the automation and reliability of our 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 a set of 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 that include some of the largest healthcare organizations in the world

Preferred Qualifications

If you have experience with any of the following, that would be great, but none of these are expectations or requirements: R, Pandas, Numpy, or other dataframe-based or stats/data focused languages and tools; AWS (particularly with regards to Athena, Aurora, MSK, or self-managed PostgreSQL or Kafka); Docker and/or Kubernetes; observability tools like Datadog, Prometheus, or other things in the Open Telemetry pantheon; Spark / Pyspark, Airflow, or similar streaming data and process orchestration technologies; ‘modern data stack’ tools like dbt, Databricks, Snowflake, and the like; healthcare experience generally and experience with healthcare EDI in particular, including things like HIPAA, techniques for securely dealing with PHI, data de-identification or statistical data generation tools, specific standards like ANSI X12, HL7 FHIR, and related topics; experience with testing and test automation; exposure to queueing technologies such as SQS or RabbitMQ; have lived through HITRUST and/or SOC2 certification, or have experience specifically with data security

Benefits

• Freedom to work from wherever you work best and home office stipend to make it happen
• Competitive compensation and meaningful equity
• 401k with company matching
• Flexible PTO and wellness stipend
• Comprehensive health plans with generous contribution to premiums
• Mental and physical wellness support through TalkSpace, Teladoc and One Medical subscriptions