Staff Software Engineer – Data Ingestion

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the advancement of backend architecture with an emphasis on refactoring and enhancing current data pipelines.

• Create next-generation distributed data storage and processing systems aimed at limitless scalability and enhanced query performance.

• Design clear and expressive interfaces that simplify complexity for web applications, business analytics, and AI data consumers.

• Identify and cultivate scalable, high-performance solutions.

• Influence product strategy and execution across various disciplines.

• Establish strong foundations for code architecture and quality.

• Mentor and guide engineers to elevate their skills.

• Set and maintain engineering processes that promote high-quality engineering standards.

• Transform infrastructure into a resilient, high-performance foundation.

⛳️ Requirements

• A BS/BTech or higher degree in Computer Science, Engineering, or a relevant field is required.

• A minimum of 8 years of production-level engineering experience in designing highly scalable systems.

• At least 4 years of experience serving as a trusted technical decision-maker within a team environment.

• Minimum of 4 years working with SQL or other database querying languages on extensive multi-table datasets.

• Proven experience in architecting, developing, and deploying large-scale distributed systems.

• Familiarity with cloud technologies such as AWS, Azure, or GCP.

• Experience in constructing CI/CD pipelines.

• Strong knowledge of server-side web technologies including Java, Python, Scala, C#, C++, or Go.

• Preferred: experience in building highly scalable and dependable infrastructure.

• Preferred: expertise in ETL/ELT data pipelines and ingestion systems for large-scale real-time and batch processing.

• Preferred: hands-on experience with Snowflake, Redshift, Spark, SQL, Python, or Databricks.

• Preferred: practical experience with Docker, Kubernetes, CI/CD pipelines, and distributed architectures.

• Preferred: proficiency in replication, sharding, partitioning, indexing, and caching strategies.

• Preferred: understanding of data security, governance, and compliance principles.

• Preferred: experience in infrastructure monitoring, performance optimization, and architecture reviews.

• Physical ability to sit for extended periods, use computers and keyboards extensively, and occasionally walk and lift.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance plans.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Collaborative and inclusive company culture.