Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Be ready on end-to-end ingest design (sources → transform → store), failure modes and backfill, idempotency, late data, and how reliable pipelines support care-network analytics. Staff bar: technical leadership, cross-team influence, and clear tradeoff communication.
Strong fit if you want staff-level data-platform work tied to value-based primary care scale-out and clinical workflow tooling, and you are comfortable fully remote in the U.S.
As Staff Software Engineer — Data Ingestion at Aledade, expect ownership of pipelines that bring clinical and operational feeds into reliable, analytics-ready stores for value-based care products (network performance, EHR-adjacent workflows, partner outcomes). Staff-level work typically means designing durable ingest contracts, scaling throughput/quality, mentoring, and partnering with product and data teams—not inventing unverified stack details.
No cert family or priced resources were supplied. For this title, prioritize streaming/batch ingestion, schema evolution, data quality SLAs, observability, and secure handling of healthcare-adjacent data—not specific paid credentials from this dataset.
Yes—the listing is Remote, United States.
Public news in the data centers on value-based care networks, EHR workflow support, and clinical partnerships—not consumer retail tech.
No. This enricher only uses the supplied data; it does not invent pay bands or review scores.
Staff Software Engineer- Data Ingestion at Aledade - Remote, United States About the Role As a Staff Software Engineer focused on data ingestion, you will lead the evolution of our backend architecture. Your primary responsibility is to refactoring and optimizing existing data pipelines while driving the development of next-generation distributed data storage and processing systems designed for indefinite scalability and superior query performance. <h2-Core Duties Refactor and optimize existing data pipelines Develop scalable, high-performance distributed data storage and processing systems Create clean, expressive interfaces that abstract complexity for various data consumers Support core web applications as well as advanced business analytics and AI <h2-Requirements Expertise in backend architecture evolution Demonstrated experience with distributed systems and data processing pipelines Proficiency in modern programming languages such as Python, Java, or Go Familiarity with cloud platforms like AWS, GCP, or Azure About Aledade Aledade is a leading provider of data-driven solutions for healthcare organizations. Our mission is to improve the efficiency and effectiveness of healthcare delivery through advanced analytics and technology. <h2-Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-17 UTC · getajob.ai