Staff Software Engineer- Data Ingestion

Aledade; United States; Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

Aledade is seeking a Staff Software Engineer to lead backend architecture, refactor data pipelines, and drive scalable storage and processing systems. You will shape interfaces for web apps, analytics, and AI, enabling high-performance infrastructure and data-driven decision making.

You will mentor engineers, raise engineering standards, and collaborate across teams to deliver scalable solutions and robust data platforms at scale.

Qualifications

• BS/BTech in CS, Engineering or related field.
• 8+ years building scalable systems.
• 4+ years as trusted technical decision-maker.
• 4+ years SQL or similar on large multi-table datasets.
• Experience with large-scale distributed systems.
• Experience with cloud technologies (AWS, Azure, GCP).
• Experience building CI/CD pipelines.
• Strong server-side web tech (Java, Python, Scala, C#, C++, Go).

Responsabilités

• 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.

Connaissances

Mentoring

Distributed systems

CI/CD pipelines

SQL on large data

Cloud platforms

Backend languages

Architecture design

Formation

BS/BTech in Computer Science or related field

Outils

Docker

Kubernetes

Snowflake

Redshift

Spark

Databricks

Description du poste

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.