A
Aledade
Staff Software Engineer (Data Ingestion)
Skills
Google Cloud PlatformSQL QueriesDockerPythonGolangProduct StrategyJavaC#SnowflakeDatabricksData AnalysisAIScalaAWSKubernetesComplianceAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
22 August 2026
What they need
- 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
- 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
Benefits
- Remote-first working environment and flexible work schedules
- Three office locations you can visit/work from as desired: Bethesda, MD (headquarters), Novi, MI, Durham, NC and Austin, TX
- 168 PTO hours (21 days!) in your first year
- 12 weeks paid parental leave for all new parents
- Generous nationwide PPO medical, dental and vision plans
- 401(k) with up to 4% match
- Company stock options
- Fully paid six-week sabbatical following each six-year period of continuous employment- 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
- BS/BTech (or higher) in Computer Science, Engineering or a related field required
- 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
- 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
- Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
- 8+ years of production-level experience as an engineer building highly scalable systems
- 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
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required
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