Quick Answer
Start with DP-900 (Azure Data Fundamentals) to build core relational, non-relational, and analytics vocabulary — no prerequisites, works for beginners. The default role-based data engineering certification is DP-700 (Fabric Data Engineer Associate); if your org runs Databricks instead, DP-750 (Azure Databricks Data Engineer Associate)is the platform-specific alternative. If you've been researching DP-203, stop — it retired March 31, 2025 and DP-700 is its direct replacement.
A lot of "best certification for data engineers" content online still points to DP-203. That exam doesn't exist anymore. Here's the accurate, current path — what to study, in what order, and where to build real skills alongside the credential.
DP-203 Is Retired — Here's What Replaced It
Microsoft Certified: Azure Data Engineer Associate (DP-203) retired on March 31, 2025. You can no longer earn or renew it — Microsoft has confirmed there is no way to schedule this exam anymore. If you already hold it, it stays on your transcript, but new candidates need to target the replacement instead.
The reason: Microsoft shifted its data platform investment to Microsoft Fabric, a unified analytics platform that replaces the separate Synapse/Data Factory/Power BI workflow DP-203 tested. The new exam, DP-700 (Fabric Data Engineer Associate), reflects that shift.
Step 1: DP-900 Foundation
DP-900 (Azure Data Fundamentals)is the right starting point whether you're coming from a database background, a software engineering role, or starting from zero. It covers relational vs. non-relational data concepts, core Azure data services, and basic analytics workloads.
- • Prerequisites: None
- • Study time: 2-4 weeks part-time
- • Exam cost: $99
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Start Free PracticeStep 2: DP-700 (Fabric Data Engineer)
DP-700 (Implementing Data Engineering Solutions Using Microsoft Fabric)is Microsoft's current role-based data engineering certification. It covers ingesting and transforming data with Fabric Lakehouses and Data Factory pipelines, processing streaming data with Eventstreams and KQL, and monitoring/optimizing analytics solutions.
Skills covered:
- • Fabric Lakehouses and OneLake shortcuts
- • Data Factory pipelines and Dataflow Gen2
- • Spark notebooks for transformation
- • Real-time data processing (Eventstreams, KQL)
- • Monitoring, alerting, and performance tuning
DP-700 Isn't the Only Option
Microsoft actually runs three current, active certifications tagged with the Data Engineer role. Which one fits depends on what platform your team actually uses:
DP-700 — Fabric Data Engineer Associate
The default recommendation. Fabric-native pipelines, Lakehouses, and real-time processing. Pick this if your organization is on (or moving to) Microsoft Fabric.
DP-750 — Azure Databricks Data Engineer Associate
Covers Databricks-specific skills: Unity Catalog governance, Delta Live Tables, Lakeflow Jobs, and Spark pipeline optimization. Pick this if your organization runs Databricks instead of, or alongside, Fabric.
DP-600 — Fabric Analytics Engineer Associate
A hybrid role between analyst and engineer: semantic models, DAX performance, and Fabric warehouse/lakehouse design. Worth considering if your work sits closer to BI/analytics than raw pipeline engineering — see our data analyst certification guide →
What Certifications Won't Teach You
Certifications validate breadth of knowledge, not job-readiness. Employers hiring data engineers consistently ask for evidence of:
- • Strong SQL and at least one scripting language (Python or Scala)
- • A portfolio pipeline project — ingest, transform, load, with documentation
- • Understanding of data modeling and warehouse/lakehouse architecture patterns
- • Familiarity with orchestration and monitoring, not just building the pipeline once
Recommendation: Pair DP-900 (and eventually DP-700) with a self-built Fabric or Azure project you can walk through in an interview. Certifications get you past resume screens; projects get you past technical interviews.
Data Engineer Salary Ranges
General US market ranges — verify against local job postings; these vary significantly by market.
Common Questions
Which Microsoft certification is best for a data engineer?
Start with DP-900 for foundational data concepts, then work toward DP-700 — the current Microsoft data engineering Associate certification.
Is DP-203 still a valid certification?
No, DP-203 retired March 31, 2025 and can no longer be earned. DP-700 (Fabric Data Engineer Associate) is its direct replacement.
What is Microsoft Certified: Fabric Data Engineer Associate (DP-700)?
It validates skills implementing data engineering solutions in Microsoft Fabric: Lakehouses, pipelines, Spark notebooks, and real-time processing with Eventstreams and KQL.
Is DP-700 the only current Microsoft data engineering certification?
No — DP-750 (Azure Databricks Data Engineer Associate) is the platform-specific alternative for Databricks shops, and DP-600 (Fabric Analytics Engineer Associate) covers the hybrid analyst/engineer role. Pick based on what platform your team actually uses.
What do people say about the best certification for data engineers on Reddit?
Consensus is that certifications alone don't land data engineering jobs — SQL, Python, and portfolio pipeline projects matter more. DP-900 is a reasonable starting point; DP-700 is the relevant credential now that DP-203 has retired.
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