Backend Software Engineer II - Data Platform
New
V
VidaHealthcare data
Listing location: United States; Workplace type: RemoteFull-TimeMiddle
Salary120,000 - 130,000 USD per year
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Job Details
- Experience
- 2+ years of professional experience building backend software.
- Required Skills
- PostgreSQLPythonSQLRESTful APIsDistributed Systems
Requirements
- Have a bachelor's degree at a minimum.
- Have 2+ years of professional experience building backend software.
- Demonstrate strong programming fundamentals; the team primarily uses Python.
- Have experience working with relational databases and SQL.
- Have experience building systems that process, transform, or move significant amounts of data.
- Understand testing, debugging, APIs, and common distributed-system failure modes.
- Have experience deploying or operating software in a cloud environment.
- Apply correctness practices including validation, idempotency, retries, and handling edge cases.
- Be able to understand and improve an unfamiliar codebase without making it more complicated.
- Communicate clearly in writing and explain technical decisions and tradeoffs.
- Preferred: experience with data-intensive backend systems, ETL/ELT pipelines, or event-driven architectures.
- Preferred: experience with PostgreSQL, analytical warehouses, or data modeling.
- Preferred: experience with infrastructure as code, containers, or workflow orchestration.
Responsibilities
- Build backend services that ingest, validate, reconcile, and serve data from external partners.
- Develop systems for member identity, eligibility, billing, and other core business domains.
- Design APIs, asynchronous workflows, and data pipelines used across Vida.
- Make systems resilient to incomplete, duplicated, delayed, and inconsistent real-world data.
- Build safe ways to retry, replay, and recover data when something goes wrong.
- Improve the reliability, observability, testing, and performance of production systems.
- Work with Engineering, Product, and Operations to determine what to build when requirements are incomplete or messy.
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