Staff Software Engineer- Data Ingestion

Company: Aledade
Location: Remote, United States
Type: full_time
Posted: Aug 19, 2026
Views: 4

✨ AI Summary

Aledade, a healthcare technology company, is hiring a Staff Software Engineer for Data Ingestion in a remote, US-based role. You will lead backend architecture evolution, refactoring data pipelines, and building scalable distributed systems. Tech stack includes SQL, Java, Python, Scala, Go, AWS/Azure/GCP, Docker, Kubernetes, and data warehouses like Snowflake or Redshift. Requires 8+ years building highly scalable systems, 4+ years as a technical decision-maker, and deep experience with large-scale data pipelines and CI/CD.

As a Staff Software Engineer, you will lead the evolution of our backend architecture, with a primary focus on refactoring and optimizing existing data pipelines. You will drive the development of next-generation distributed data storage and processing systems designed to scale indefinitely and surpass traditional query performance. Beyond modernization, you will design clean, expressive interfaces that abstract complexity for a wide range of data consumers—from core web applications to advanced business analytics and AI. Your expertise will be instrumental in transforming our infrastructure into a robust, high-performance foundation.

Primary Duties:

  • Identify and develop scalable and performant solutions.
  • Work across discipline to shape product strategy and execution.
  • Develop the foundations of code architecture and quality.
  • Mentor and coach engineers.
  • Set and uphold the standard for engineering processes to support high-quality engineering.

    • Minimum Qualifications:

  • BS/BTech (or higher) in Computer Science, Engineering or a related field required.
  • 8+ years of production-level experience as an engineer building highly scalable systems.
  • 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
  • 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
  • Experience architecting, developing, and deploying large-scale distributed systems at scale.
  • Experience with cloud technologies, e.g., AWS, Azure, GCP.
  • Experience building continuous integration and continuous development (CI/CD) pipelines.
  • Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).

    • Preferred KSAs:

  • 8+ years experience building highly scalable and reliable infrastructure.
  • Expertise in designing, optimizing, and orchestrating robust data pipelines (ETL/ELT) and ingestion systems for large-scale, real-time, and batch processing.
  • Experience managing data warehouses (e.g., Snowflake, Redshift) and leveraging analytics tools (e.g., Spark, SQL, Python, Databricks).
  • Hands-on experience with containerization (Docker, Kubernetes), CI/CD pipelines, and distributed architectures (event-driven, in-memory computing).
  • Deep proficiency with modern database systems, including replication, sharding, partitioning, indexing, and caching strategies for high-performance query optimization.
  • Strong understanding of data security, governance, and compliance principles.
  • Experience with infrastructure monitoring, performance optimization, and active participation in architecture reviews.

    • Physical Requirements:

    Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
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    About the Company

    Name: Aledade
    Website: https://4dayweek.io

    4dayweek.io is a job board dedicated to helping job seekers find roles at companies offering a 4-day work week, 9-day fortnights, flexible schedules, and other reduced-hours policies. The platform lists thousands of jobs across various categories and locations, with a focus on work-life balance. It also offers an Auto Apply feature (JobCopilot) that automatically applies to matching roles on behalf of users. The site verifies each company's schedule policy before listing and provides resources like pros and cons of a 4-day week.

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