Senior Software Engineer, Rialtic
Data Operations
+ Equity
Administrative and financial technology for healthcare
Job no longer available
Administrative and financial technology for healthcare
21-100 employees
Job no longer available
+ Equity
21-100 employees
Company mission
Rilatic is on a mission to make healthcare more efficient.
Role
Who you are
- 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. (You understand core concepts pertaining to the modeling, tuning, and maintenance of the data stack, regardless of which specific databases or tools you’ve worked with.)
- Highly proficient with SQL and would not be offended if someone described one or more of your past roles as a “data engineer.” (You have an opinion on whether or not NULL was a good idea. You know the difference between a relational database, a document-oriented database, and a pure key-value store, and when it makes sense to use them.)
- 3+ years of meaningful coding experience with Python. (Our code for analyzing healthcare data and generating actionable insights is primarily written in Python, and it’s one of the most popular “second languages” among the folks on the team, so many internal tools are also written in Python.)
- Excellent listening and interpersonal skills, and you consider yourself a lifelong learner. You’re motivated to learn new tools, explore unfamiliar data sets, synthesize information to see the big picture while effectively managing the details, and share your insights with others. (You aren’t afraid of writing or reading documentation and specifications – we’re a remote-first team, so the quality of our asynchronous communications makes a big difference in our effectiveness.)
- It would be a strong plus if you had coding experience with a compiled language such as Golang, C#, or C. (Golang is our primary platform language, but we can teach you, and we believe that anyone who has become proficient in at least one programming language can gain proficiency in other languages. We are going to ask you about pointers, though.)
- 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; and whatever else sounds like it belongs on this list that we either forgot to mention or you’re going to teach us about!
What the job involves
- We’re looking for a data-stack-focused engineer to join our core platform team
- We’re built on a modern, cloud-first stack, but our clients are often on legacy systems, so the challenges of data extraction, data mapping, and data processing are significant… but there’s a huge opportunity to advance the state of the art
- Work with clients and prospective clients to define and implement a data mapping strategy for healthcare claims and related data (both initial/historical data loads and ongoing data flows)
- 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 (such as refresh latency) 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
Our take
Healthcare is a big business. In the U.S, it represents nearly 20% of GDP. Despite its immense value, the system is complex and many of the technologies are antiquated. That means hundreds of billions of dollars of administrative spending being wasted.
Rialtic attempts to recuperate some of these wasted dollars for healthcare insurers and providers. The startup’s flagship product is a payment accuracy product which brings programs in-house and helps health insurance companies gain total control over processes that have been managed by disparate and misaligned vendors.
Crucial to this service is the constant ingesting and structuring of healthcare payment policy documents and data. Rialtic is now seeking growth through additional products that can leverage this data to improve overall healthcare services as well. The company's 2024 Series B round has achieved its $50 million funding goal, which is sure to help propel it forward.
Steph
Company Specialist at Welcome to the Jungle
Insights
-12% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2024
$38m
SERIES B
Mar 2022
$28m
SERIES A
Total funding: $82.2m
Company benefits
- Freedom to work from wherever you work best and a home office stipend to make it happen
- Meaningful equity and 401k matching
- Unlimited PTO, comprehensive health plans and wellness reimbursements
- Comprehensive health plans with generous contribution to premiums
- Mental and physical wellness support through TalkSpace, Teladoc and One Medical subscriptions
Company HQ
Buckhead Forest, Atlanta, GA
Leadership
Doug Williams
(Founder & CEO)Previously founded Melioric, a private investment company. Before that, Founded iHealth Technologies (iHT) and served as CEO. iHT merged with Connolly in 2014 to form Cotiviti and went public in 2016.
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