Staff Software Engineer- Data Ingestion

Aledade

United States

Remote

Who this role is best for

Best suited to senior engineers with strong backend and distributed systems experience working in data infrastructure and analytics.

Best fit for

Senior engineers with 8+ years in scalable systems and a background in data pipeline optimization
— “8+ years of production-level experience as an engineer building highly scalable systems”
Individuals with a strong foundation in cloud technologies and CI/CD pipeline development
— “Experience with cloud technologies, e.g., AWS, Azure, GCP”

Things to consider

This role requires extended periods of sitting and heavy computer use, which may impact candidates with physical limitations
— “Sitting for prolonged periods of time. Extensive use of computers and keyboard.”
The job expects leadership in setting engineering standards and mentoring others, which may require additional time and responsibility
— “Mentor and coach engineers. Set and uphold the standard for engineering processes”

How to stand out

Highlight experience in optimizing large-scale data pipelines and real-time processing systems
— “Expertise in designing, optimizing, and orchestrating robust data pipelines (ETL/ELT) and ingestion systems for large-scale, real-time, and batch processing”
Emphasize leadership in technical decision-making and cross-functional collaboration in your resume and interview responses
— “4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value”
Showcase your experience with modern database systems, particularly in query optimization and performance tuning
— “Deep proficiency with modern database systems, including replication, sharding, partitioning, indexing, and caching strategies for high-performance query optimization”
Demonstrate your ability to build and manage CI/CD pipelines and distributed architectures
— “Experience building continuous integration and continuous development (CI/CD) pipelines. Hands-on experience with containerization (Docker, Kubernetes), CI/CD pipelines, and distributed architectures”
Include specific examples of how you've abstracted complexity in backend systems for diverse data consumers
— “Design clean, expressive interfaces that abstract complexity for a wide range of data consumers—from core web applications to advanced business analytics and AI”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Developed scalable and performant solutions
Mentored and coached engineers
Set and upheld engineering standards

Typical background

BS/BTech in Computer Science or related field8+ years of production-level experience in software engineering

Skills & requirements

Required

JavaPythonScalaC#C++GoSQLDockerKubernetesAWSAzureGCPCi/cd PipelinesDistributed SystemsLarge-scale Systems

Preferred

SnowflakeRedshiftSparkDatabricksData SecurityPerformance OptimizationArchitecture Reviews

Stack & domain

JavaPythonScalaC#C++GoAWSAzureGCPSQLDockerKubernetesSparkDatabricksSnowflakeRedshiftLeadershipCommunicationProblem-solvingCollaborationCloud TechnologiesData PipelinesData WarehousesDistributed SystemsServer-side Web Technologies

About the role

Original posting from Aledade via Lever

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.

Source: Aledade careers (Lever)