Senior Engineer – Ingestion & Streaming Frameworks
Job Description:
• Design, build, and operate the ingestion frameworks that pull data from operational databases, vendor APIs, document streams, and third-party feeds into Snowflake, Iceberg, and Databricks
• Own and evolve the ingestion stack (AWS DMS, MWAA / Airflow, Fivetran) and design new patterns for API sources
• Build self-service tooling so product engineers can onboard new sources without becoming experts in our infrastructure
• Write and review the Terraform behind our ingestion infrastructure
• Partner with product, data, and analytics teams to pick the right ingestion pattern for each source and stand it up end-to-end
• Lead production troubleshooting and incident response, and turn each incident into a durable platform fix
• Raise the bar on engineering quality, observability, cost discipline, and security in everything the team ships
• Mentor mid-career engineers and pull peers along through code review, pairing, and design feedback
Requirements:
• 6+ years in data engineering, platform engineering, or data-focused software engineering
• 3+ years of hands-on AWS with real strength in networking (VPC, subnets, routing, PrivateLink, security groups), IAM (roles, policies, permission boundaries), and the data services this role touches
• 2+ years writing production Terraform or equivalent IaC
• 1+ years building self-service tooling, internal platforms, or paved-path frameworks
• Strong SQL skills and the ability to reason about how data physically lives in a warehouse or lake
• Production experience with Snowflake or an equivalent cloud data warehouse and a workflow orchestrator (Airflow / MWAA preferred)
• Hands-on experience with at least one ingestion approach: CDC tooling (DMS, Debezium), managed connectors (Fivetran, Airbyte), or rolling your own pipelines for API sources
• Solid CI/CD discipline in GitHub or equivalent
• AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent
• Working knowledge of Python is expected; mastery isn’t the bar
• Clear written and verbal communication, especially in async, remote settings.
Benefits:
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
Apply tot his job
Apply To this Job
• Design, build, and operate the ingestion frameworks that pull data from operational databases, vendor APIs, document streams, and third-party feeds into Snowflake, Iceberg, and Databricks
• Own and evolve the ingestion stack (AWS DMS, MWAA / Airflow, Fivetran) and design new patterns for API sources
• Build self-service tooling so product engineers can onboard new sources without becoming experts in our infrastructure
• Write and review the Terraform behind our ingestion infrastructure
• Partner with product, data, and analytics teams to pick the right ingestion pattern for each source and stand it up end-to-end
• Lead production troubleshooting and incident response, and turn each incident into a durable platform fix
• Raise the bar on engineering quality, observability, cost discipline, and security in everything the team ships
• Mentor mid-career engineers and pull peers along through code review, pairing, and design feedback
Requirements:
• 6+ years in data engineering, platform engineering, or data-focused software engineering
• 3+ years of hands-on AWS with real strength in networking (VPC, subnets, routing, PrivateLink, security groups), IAM (roles, policies, permission boundaries), and the data services this role touches
• 2+ years writing production Terraform or equivalent IaC
• 1+ years building self-service tooling, internal platforms, or paved-path frameworks
• Strong SQL skills and the ability to reason about how data physically lives in a warehouse or lake
• Production experience with Snowflake or an equivalent cloud data warehouse and a workflow orchestrator (Airflow / MWAA preferred)
• Hands-on experience with at least one ingestion approach: CDC tooling (DMS, Debezium), managed connectors (Fivetran, Airbyte), or rolling your own pipelines for API sources
• Solid CI/CD discipline in GitHub or equivalent
• AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent
• Working knowledge of Python is expected; mastery isn’t the bar
• Clear written and verbal communication, especially in async, remote settings.
Benefits:
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
Apply tot his job
Apply To this Job