How to DIY: Data Engineer
My data from Stripe, Salesforce, my app database, and 7 other tools cleaned, unified, and available in one place for analytics — without building custom scripts that break every Tuesday
Tools used in this guide
5How to DIY: Data Engineer
A step-by-step guide to doing this yourself — honestly.
What you're really trying to do
My data from Stripe, Salesforce, my app database, and 7 other tools cleaned, unified, and available in one place for analytics — without building custom scripts that break every Tuesday
DIY Cost
$0-200/mo
2-4 months to learn
Hire Cost
$5,000-15,000+/mo
Done for you
You could save $5,000-15,000+/mo by doing it yourself
Step-by-Step Guide
Follow along at your own pace. Most people finish in 2-4 months.
Extract data with Fivetran or Airbyte
~10 minFivetran connects to 300+ data sources (Stripe, Shopify, Salesforce, databases, APIs) and syncs them to your warehouse automatically. Airbyte is the open-source alternative. Set up connectors in the UI — no code needed for standard sources.
Store data in BigQuery or Snowflake
~10 minBigQuery (Google) or Snowflake are cloud data warehouses that scale automatically. BigQuery is simpler and cheaper for small-medium workloads. Load your data here — it's the central hub everything else queries from. BigQuery's free tier covers 1TB of queries/month.
Transform data with dbt
~10 mindbt (data build tool) lets you write SQL transformations that run against your warehouse. Define models that clean, join, and aggregate your raw data into analysis-ready tables. dbt Cloud has a free tier with a visual IDE and scheduled runs.
Visualize with Metabase
~15 minMetabase connects to your data warehouse and lets you build dashboards without SQL. Point it at your dbt models and create charts, tables, and reports. Self-hosted is free; cloud is $85/month. It's the simplest BI tool that non-technical team members can actually use.
Monitor data quality
~15 minAdd dbt tests to validate your data: not null checks, unique constraints, accepted values, and custom SQL tests. dbt runs these automatically and alerts you when data quality degrades. Bad data in, bad decisions out — testing catches problems before they reach your dashboards.
When to hire instead
Hire when: you need real-time streaming pipelines (not just daily/hourly batch syncs), you're joining data across 10+ sources with complex business logic, your data infrastructure needs to support ML model training, or data quality issues are leading to wrong business decisions that cost real money. A data engineer builds the guardrails that prevent 'our revenue numbers are off by 30%' moments.
No time? Skip to hiringReal talk
The modern data stack (Fivetran + BigQuery + dbt + Metabase) has made basic data engineering accessible to anyone comfortable with SQL. If your needs are 'pull data from Stripe, Salesforce, and our app database, clean it up, and make dashboards,' you can genuinely DIY this in a weekend. The complexity spikes when you need real-time processing, complex joins that require understanding slowly changing dimensions, or data that feeds production systems (reverse ETL). Start simple, and you'll know when you've outgrown DIY because things will start breaking.
Tools You'll Need
Hand-picked for this project. We only recommend tools we'd actually use.
Essential Tools
You need these to get started.
VS Code
Free
Write SQL transforms, Python scripts, and dbt models. Extensions for SQL, Python, and data preview make data engineering productive.
Why we recommend it
VS Code with SQL and Python extensions is the standard data engineering setup — write queries, transforms, and scripts.
Claude Pro
$20/mo
Write complex SQL queries, dbt models, and data pipeline code. Claude understands BigQuery, Snowflake, and Postgres dialects.
Why we recommend it
Claude writes excellent SQL and dbt models — describe the transformation you need and get correct, optimized queries.
Some links are affiliate links — we may earn a commission at no extra cost to you.
Our Verdict
Difficulty
hard
Learning time
2-4 months
DIY cost
$0-200/mo
Hire cost
$5,000-15,000+/mo
Choose DIY if...
- 2 of 2 tools are free
- You want to learn a new skill
- Budget matters more than time
Choose Hire if...
- The learning curve is steep
- You need professional-quality results
- Your time is worth more than the cost
- You have a tight deadline
Learn from video tutorials
Sometimes watching is easier than reading. Search for tutorials:
Join the conversation
See what other people are saying about doing this yourself:
Prefer to hire a pro?
No shame in that. Sometimes your time is worth more than the money you'd save. These top-rated freelancers specialize in Data Engineer and can get it done fast.
Alex G
Alex G· Top Rated
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Yuki M· Level 2
Toptal Data Engineers
Toptal Data Engineers· Top 3%
Frequently Asked Questions
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Find a Data Engineer pro on Toptal Data Engineers
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