Staff Software Engineer (Data Ingestion)

Location: Remote, United States

Company

Technology – Engineering work focused on backend architecture, data pipelines, and distributed data systems.

What you will do

• Lead the evolution of backend architecture by refactoring and optimizing existing data pipelines.
• Design and develop distributed data storage and processing systems for indefinite scalability and high query performance.
• Create clean interfaces that abstract complexity for web applications, business analytics, and AI data consumers.
• Identify scalable and performant technical solutions and contribute to product strategy and execution.
• Establish code architecture and quality standards while mentoring and coaching engineers.
• Set and uphold engineering processes that support high-quality delivery.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• 8+ years of production-level engineering experience building highly scalable systems.
• 4+ years as a trusted technical decision-maker solving short-term and long-term business problems.
• 4+ years working with SQL or other database query languages across large multi-table datasets.
• Experience architecting, developing, and deploying large-scale distributed systems and working with cloud technologies such as AWS, Azure, or GCP.
• Strong familiarity with server-side technologies such as Java, Python, Scala, C#, C++, or Go, plus CI/CD pipeline experience.

Nice to have

• Expertise in ETL/ELT data pipelines and ingestion systems for large-scale real-time and batch processing.
• Experience with Snowflake, Redshift, Spark, SQL, Python, or Databricks.
• Hands-on experience with Docker, Kubernetes, event-driven architectures, and in-memory computing.
• Knowledge of database replication, sharding, partitioning, indexing, caching, security, governance, and compliance.
• Experience with infrastructure monitoring, performance optimization, and architecture reviews.

Culture & Benefits

• Full-time employment in a remote United States workplace.
• Role includes mentoring, cross-disciplinary collaboration, and participation in technical decision-making.
• Work involves prolonged computer and keyboard use; occasional walking and lifting may be required.

Hiring process

• Application materials may be organized and evaluated with automated tools, including artificial intelligence.
• Human judgment remains part of the screening and hiring process.