Skill Lagoon

What today’s job postings actually ask for. Pick a role and a period - skill frequencies are counted across deduplicated postings, with links back to every source job.

Data Engineer

  • All available
  • All levels
  • 203 postings
  • 31.0% remote
  • About 5+ years exp.

Role snapshot

A quick overview of what this role tends to mean, drawn from the wording of the postings themselves.

What this role is about

Cloud data pipelines and warehouse modeling dominate most Data Engineer roles. SQL and Python remain the core day-to-day implementation skills. Airflow, dbt, Spark, and cloud warehouses show a modern stack bias. Machine learning appears often enough to support analytics and AI-adjacent work. Roles span ingestion, transformation, reliability, and stakeholder-facing data products.

  • SQL
  • Python
  • Machine learning
  • ETL
  • AWS

Key themes

  • SQL and Python remain the core day-to-day implementation skills.

  • Airflow, dbt, Spark, and cloud warehouses show a modern stack bias.

Key responsibilities

The work that comes up most often

Based on 203 postings

Most common: Ingest source data, Transform raw data, and Model warehouse layers.

Original listing unavailable — snapshot available

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