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Alchemy

Senior Data Engineer

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Description

You will build and operate data pipelines and the internal data platform. You will maintain ingestion, Snowflake operations, orchestration, data quality, and reusable datasets while resolving production data issues.

Responsibilities

  • Build batch and streaming data pipelines
  • Implement change-data capture, schema-change handling, idempotent processing, and backfills
  • Operate and improve Snowflake
  • Improve pipeline orchestration and deployment workflows
  • Build data-quality checks
  • Define shared data models, source definitions, and documentation
  • Build reusable self-service data tools
  • Restore data flow, reconcile datasets, and prevent recurring pipeline failures

Requirements

  • Data pipeline
  • SQL
  • Python
  • Snowflake
  • Workflow orchestration
  • Airflow
  • dbt
  • Data modeling
  • Incremental processing
  • Schema evolution
  • Data-quality testing

Benefits

  • Equity
  • Bonus
  • Private Health Insurance
  • Gym Reimbursement
  • Commuter Benefits
  • Flexible Time Off
  • In-Office Group Meals
  • Learning & Development Stipend
  • Company Sponsored Conferences & Events
  • Books and audiobook subscription with Bookster

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →