Backend Software Engineer II – Data Platform

New

JobgetherHealthcare data

Fully remote position within the United States.Full-TimeMiddle

Salary120,000 - 130,000 USD per year

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Job Details

Experience: 2+ years of professional experience building and maintaining backend software.
Required Skills: PostgreSQLPythonSQLData modelingDistributed Systems

Bachelor's degree or equivalent educational background.
At least 2 years of professional experience building and maintaining backend software.
Strong programming fundamentals; professional Python experience is preferred.
Experience with relational databases and SQL.
Experience developing systems that process, transform, or move significant volumes of data.
Understanding of software testing, debugging, API design, and common distributed-system failure modes.
Experience deploying or operating applications in a cloud environment.
Strong engineering practices around correctness, data validation, idempotency, retries, recovery, and edge cases.
Ability to quickly understand an unfamiliar codebase and improve it while maintaining simplicity and reliability.
Strong written communication skills and ability to explain technical decisions, tradeoffs, and approaches.
Data-intensive backend systems, ETL/ELT pipelines, or event-driven architecture experience is preferred.
Familiarity with PostgreSQL, analytical data warehouses, or data modeling is an advantage.
Infrastructure as code, containers, or workflow orchestration experience is a plus.
Exposure to identity resolution, entity matching, eligibility, claims, healthcare data, or other complex data domains is beneficial.
Experience in regulated or security-sensitive production environments is desirable.

Build and maintain backend services that ingest, validate, reconcile, transform, and serve data from external partners.
Develop reliable systems supporting member identity, eligibility, billing, integrations, and other business domains.
Design and implement APIs, asynchronous workflows, and data pipelines used across the organization.
Build systems that handle incomplete, duplicated, delayed, inconsistent, and otherwise imperfect real-world data.
Implement mechanisms for retrying, replaying, recovering, and reconciling data when processing failures occur.
Improve the reliability, observability, test coverage, performance, and maintainability of production systems.
Collaborate with Engineering, Product, and Operations to clarify requirements and determine technical solutions.
Take features from design through implementation, deployment, and production operation.
Investigate unfamiliar areas of the codebase and make thoughtful improvements without unnecessary complexity.
Contribute to technical decisions and take increasing ownership of backend services and system design.

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