Role

Data Engineer

Builds pipelines that collect, clean, and deliver data for analytics and products.

12 chaptersAbout 3–5 months15–30 min a day14 skills1 projects
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Chapter 1 is free. No card needed.

Day 1 on the Data Engineer path.

What a Data Engineer does

Builds reliable data pipelines so teams can trust reports and data-powered features in apps and systems.

  • Design data pipelines to move data from apps, files, and APIs into databases
  • Build ETL and ELT jobs that clean, join, and standardize messy data
  • Set up data models so analysts and products can query data quickly and safely
  • Monitor pipelines and fix failures, delays, and data quality issues
  • Work with analysts and engineers to define data needs and success checks
  • Improve performance and cost by tuning queries, storage, and compute
  • Document datasets, definitions, and pipeline behavior for other teams

A day in the life

  1. Check pipeline alerts, rerun failed jobs, and investigate root causes
  2. Build or update a pipeline, then test with sample and backfill data
  3. Review pull requests and align on data definitions with stakeholders
  4. Tune a slow query or job, then add monitoring and quality checks

Tools you will use

Databases: PostgreSQL, MySQL, SnowflakeData processing: Spark, PandasOrchestration: Airflow, PrefectCloud storage: Amazon S3, Google Cloud StorageVersion control: GitContainers: DockerMonitoring: Grafana, Datadog

Your plan

Chapter by chapter.

1~1 wk

See data engineer work up close

StartFree
21–2 wks

Coding, queries and version control

Skills
31–2 wks

Cleaning data and building dbt models

Skills
41–2 wks

Pipeline reliability

Skills
51–2 wks

Daily pipeline: public API to database to dashboard

Proof
61–2 wks

Data architecture

Skills
71–2 wks

Collaboration and documentation

Skills
8~1 wk

Meet working data engineers

People
91–2 wks

Analytical thinking

Skills
101–2 wks

Choose your data engineer route

Decide
111–2 wks

Prepare for data engineer interviews

Interview
12on your timeline

Apply for data engineer roles

Apply

By the last chapter

This is what you can show.

Things you've made

Daily pipeline: public API to database to dashboard

Skills you can prove

14 skills, each rated on work you actually did.

People you've talked to

3 people who do the job, with a message ready for each.

Questions you can answer

20 interview questions and a mock interview, with feedback.

Credentials

7 credentials compared, so you can pick one, or decide you don't need one. None is required.

Ways in

There is more than one route.

Ways to study

  • Bachelor degree in computer science, software engineering, or information systems
  • Bachelor degree in math, statistics, or engineering plus strong programming practice
  • Data engineering bootcamp or structured online certificate with projects
  • Workplace training through IT or software apprenticeships

How people get their first job

  • Build a portfolio with 2 to 3 end-to-end pipelines and clear documentation
  • Apply for internships in data, analytics engineering, or software engineering
  • Start in data analyst or BI roles and take ownership of data pipelines
  • Earn a practical SQL certificate and a cloud fundamentals certificate
  • Contribute to an open-source data tool by fixing bugs or improving docs

Life skills on this path: Networking · Job interviews · Job search

How the work is changing

What AI is doing to this role

How AI is changing this role · one of 6 tasks we track

Design and build data pipelines end to end

Sped up a lot

What AI does

Text-to-SQL tools like Databricks AI draft pipeline code from plain English.

Still yours

You still design the schema and decide how data flows.

Reviewed September 2026

In the app · Premium

The rest is in the app

  • How AI affects the other 5 tasks
  • Whether this job is growing or shrinking
  • How hard the first job is to get
  • Similar roles that are easier to get into
  • Updated every month, with sources
See it in the app →

How we rate a job →

Already working

Already a Data Engineer?

Plan your move to Senior Data Engineer: 10 chapters that end with a strong case for your next review.

Grow in the role →

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Questions

Questions about this path

How long does it take to become a data engineer with Welica?

The path is 12 chapters, 3–5 months at 15 to 30 minutes a day. You can go faster or slower; the plan moves with you.

Do I need a degree?

Not always. Common routes are bachelor degree in computer science, software engineering, or information systems, bachelor degree in math, statistics, or engineering plus strong programming practice, data engineering bootcamp or structured online certificate with projects, or workplace training through IT or software apprenticeships.

What is free?

Chapter 1, See data engineer work up close, is free for good. Premium unlocks the rest of the path.

Start the Data Engineer path.

Chapter 1 free. About 15 to 30 minutes a day.

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