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Aledade is seeking a Senior Software Engineer I in Data & Algorithm Engineering to develop and implement scalable, performant solutions for their enterprise software platform. You will work as a peer with Engineering Managers, Product Managers, and stakeholders across the organization to develop and execute technical roadmaps using Agile processes. A key aspect of this role is mentoring and coaching junior engineers, including conducting thorough pull request reviews and being receptive to critical feedback on your own work.
This is a senior individual contributor role focused on backend and data engineering, with significant responsibility for technical decision-making and team leadership without direct people management.
REQUIREMENTS:
- Bachelor's degree (or higher) in Computer Science, Engineering, or related field
- 3+ years of experience working with SQL or other database querying languages on large multi-table datasets
- 4+ years of experience as an engineer building backend applications as part of a cross-functional team
- 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
- 2+ years of experience coaching other engineers
PREFERRED QUALIFICATIONS:
- 2+ years of extensive Data Engineering experience, particularly with Databricks and data warehouses (Snowflake, BigQuery, Redshift)
- 3+ years working in backend languages (Python, Java, Node.js, etc.)
- Experience designing, building, and optimizing data pipelines and ETL processes
- Proficiency working with large datasets and knowledge of data storage technologies
- Experience with data ingestion systems and optimizing performance for large-scale data processing
- In-depth knowledge of database systems
- Experience in performance monitoring and optimization of data systems and infrastructure
- Experience building data pipelines using Kafka or similar technologies
- Familiarity with database replication, sharding, and other scalability/high-availability techniques
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Experience building CI/CD pipelines
- Familiarity with security and systems handling sensitive data
