Data Platform Engineer, Ingestion
Core
Build dependable ingestion pipelines for customer and vendor data, automating onboarding from configuration to first delivery and creating reusable modules for other teams.
Role type
mid-level individual contributor data platform engineer (ingestion)
Builds
ingestion pipelines, reusable connectors, storage components, and automated onboarding workflows
Domain
marketing technology, data integration, identity
Required skills
Python, SQL, data pipeline orchestration, incremental processing, backfills, data quality validation, privacy controls, metadata management, production monitoring, recovery runbooks
Preferred skills
connector frameworks, onboarding automation, consumer/identity/contact data, Dagster, Iceberg, Snowflake
Technologies
Dagster, Airflow, dbt, SQLMesh, Snowflake, Spark, Iceberg, Trino, AWS Glue, AWS
Responsibilities
Build pipelines for messy sources (APIs, files, database extracts, scraping); ensure safe reruns with incremental loads and backfills; automate onboarding from configuration to first delivery; build reusable modules for other teams; maintain source metadata and enforce privacy controls; own integrations in production with monitoring and recovery plans
Seniority
Mid-level, hands-on IC
