Job description

The 2026 data engineer job description.

A template you can paste into a JD, or reverse-engineer to see exactly what recruiters are screening for. Based on hundreds of current listings from Netflix, Stripe, Airbnb, and mid-size data teams.
Start the roadmap — 7 days free See the salary breakdown

Role summary

You will design, build and operate data pipelines and platforms that turn raw source data into trustworthy, well-modeled datasets. You own the path from ingestion to consumption, partner with analysts, ML and product teams, and are the on-call engineer when pipelines fail.

Responsibilities

  • Design and build batch and streaming ingestion from OLTP, third-party APIs and event sources.
  • Model data in a cloud warehouse or lakehouse (Snowflake, BigQuery, Databricks) with dbt.
  • Orchestrate scheduled and event-driven pipelines with Airflow or Dagster.
  • Own data quality — schema tests, freshness SLAs, alerting, incident runbooks.
  • Optimize warehouse cost and query performance; enforce partitioning and clustering.
  • Partner with analytics, ML and product on the datasets they build on top of.
  • Participate in on-call rotation for critical pipelines.

Required skills

  • SQL — advanced. Window functions, CTEs, performance tuning, complex joins.
  • Python — production. Idiomatic, typed, tested; not just scripts.
  • One cloud warehouse. Snowflake, BigQuery, or Databricks — deep, not surface.
  • Orchestration. Airflow (industry standard) or Dagster (modern stack).
  • Transformation. dbt fluency — sources, staging, marts, tests, docs.
  • Cloud + Docker. AWS, GCP or Azure; container-based deployments.
  • Version control & CI/CD. Git, GitHub Actions or equivalent.

Nice-to-have

  • Spark or Flink for large-scale batch/streaming.
  • Kafka or Kinesis; Debezium for CDC.
  • Iceberg / Delta / Hudi for open-table lakehouses.
  • Terraform for platform IaC.
  • Data quality tooling — Great Expectations, Soda, Elementary.

Seniority levels and salary bands (US)

  • Junior / L3 — 1–2 years. $95k–$135k. Owns tasks, not systems.
  • Mid / L4 — 3–5 years. $135k–$180k. Owns pipelines end-to-end.
  • Senior / L5 — 6+ years. $180k–$260k. Owns platforms and mentors.
  • Staff / L6 — $250k–$400k+. Owns cross-team data strategy.

How to prep for the role

Walk the roadmap: SQL → Python → Docker → warehouse + dbt → orchestration → Spark/Kafka. DataForge covers steps 1–6 with gamified, exercise-driven courses. Once you can wield the stack, ship portfolio projects and drill the interview questions.

FAQ

What is a data engineer job description?
A data engineer designs, builds and operates the pipelines and platforms that move raw data into clean, reliable datasets other teams can build products, dashboards and ML models on. Job descriptions typically list SQL, Python, one cloud warehouse, an orchestrator like Airflow, and one of Spark/Kafka/dbt.
What are the main responsibilities?
Ingest data from source systems, model it in a warehouse, orchestrate scheduled pipelines, own data quality and freshness SLAs, respond to incidents, and partner with analysts and product teams on the datasets they consume.
What skills are required for a data engineer role?
Advanced SQL, production Python, at least one warehouse (Snowflake, BigQuery or Databricks), orchestration (Airflow or Dagster), Docker, one cloud (AWS/GCP/Azure), and one of Spark, Kafka or dbt. Senior roles add distributed systems depth, cost ownership and platform design.
What education is required?
Most job descriptions list a CS/engineering degree as preferred, not required. In practice, a strong GitHub portfolio and demonstrable stack experience out-weighs the degree at most companies.
How is it different from a data analyst or software engineer?
Analysts consume the tables data engineers ship — dashboards, ad-hoc SQL, business context. Software engineers ship application backends against OLTP databases. Data engineers own the OLAP path from raw sources to modeled, trustworthy datasets.

Ready to start?

7 days free. Then less than a coffee per month.

Start the roadmap — 7 days free