AWS Certified Data Engineer Associate (DEA-C01) Guide 2026: Cost, Domains + Best Prep

Last updated: May 2026. Written by Josh Hutcheson. See our review methodology.

By Josh Hutcheson · E-Learning Specialist

Reviewing online learning platforms since 2019. Connect on LinkedIn · Review methodology

What is the AWS Certified Data Engineer Associate (DEA-C01)?

Launched March 2024, DEA-C01 is AWS’s answer to a long-standing market complaint: there was no dedicated data-engineer-focused certification track. Before DEA-C01, data engineers had to choose between the broader Solutions Architect Associate or the (now-retired) Big Data Specialty.

The cert validates four core competencies:

1. Data ingestion and transformation — build pipelines that move and shape data using AWS services.
2. Data store management — design and operate data warehouses, data lakes, and operational data stores.
3. Data operations and support — orchestrate, monitor, and troubleshoot pipelines.
4. Data security and governance — secure pipelines and apply governance frameworks (Lake Formation, IAM, encryption).

Should you pursue this certification?

Take it if:

• You’re a data engineer (or aspiring one) targeting AWS-shop employers.
• You want a credential that sets you apart from generic “Data Engineer” candidates — DEA-C01 holders are still relatively rare (cert launched 2024).
• You’re moving from Data Analyst → Data Engineer and need a credential that signals the transition.
• You want $8K-15K of leverage in salary negotiations at junior-to-mid level.

Skip it if:

• You’re going to work primarily on Azure (get the Azure DP-203 / DP-700 instead).
• You’re a complete beginner with no Python, SQL, or AWS experience — build foundations first.
• You’re a senior engineer with 5+ years of demonstrable DE experience — the cert won’t move the needle for you.

Exam format, cost, and logistics

You can register at aws.amazon.com/certification. Online proctoring saves time but be aware: AWS rejects roughly 5% of online attempts due to environment violations (e.g., dual monitors, family members entering the room). For a $150 cert, the Pearson VUE testing center is often worth the trip.

The 4 exam domains (in detail)

Domain 1: Data Ingestion and Transformation (34%)

The biggest domain by weight. You’ll be tested on:

• Streaming ingestion: Kinesis Data Streams vs Kinesis Data Firehose vs Managed Streaming for Kafka (MSK). Use cases, throughput considerations.
• Batch ingestion: AWS Glue (crawlers, ETL jobs), AWS DMS for database migration, S3 transfer patterns.
• Data transformation: Spark on EMR, AWS Glue ETL, Lambda for lightweight transforms.
• Real-time analytics: Kinesis Data Analytics, Apache Flink on Kinesis.

Trickiest area: picking the right ingestion service for a given throughput + latency requirement. Practice with scenario questions.

Domain 2: Data Store Management (26%)

• Data warehousing: Redshift — cluster sizing, distribution keys, sort keys, RA3 vs DC2, Spectrum, Concurrency Scaling.
• Data lakes: S3 storage classes, Lake Formation, Glue Data Catalog, partitioning strategies.
• Operational stores: RDS, Aurora, DynamoDB — when to use each.
• Data modeling: star schema vs snowflake schema, slowly changing dimensions (SCD types).

Trickiest area: Redshift performance tuning — distribution and sort key choices. Practice diagnosing slow queries.

Domain 3: Data Operations and Support (22%)

• Pipeline orchestration: Apache Airflow on AWS Managed Workflows (MWAA), AWS Step Functions, AWS Glue workflows.
• Monitoring: CloudWatch metrics, logs, alarms; custom dashboards; X-Ray for tracing.
• Troubleshooting: debugging Spark job failures, Glue ETL errors, Lambda timeouts.
• Data quality: AWS Glue Data Quality, Deequ.

Domain 4: Data Security and Governance (18%)

• Encryption: at-rest (KMS, S3-SSE) and in-transit (TLS).
• Access control: IAM policies, resource-based policies, Lake Formation fine-grained access.
• Auditing: CloudTrail, AWS Config, S3 access logs.
• Compliance: PII handling, GDPR considerations, masking with Glue.

Salary impact: what does DEA-C01 actually pay?

The AWS Certified Data Engineer Associate is too new (2024 launch) for definitive salary surveys, but early data points:

• Industry salary surveys (Glassdoor, Levels.fyi, Indeed; April 2026) consistently report AWS Data Engineer base salary in the $120K-$140K range for mid-level US roles. Stock + bonus typically add $15K-$50K at FAANG-tier employers.
• Levels.fyi: AWS-stack data engineers at FAANG: $145K-$175K base (entry-level) / $180K-$240K base (mid/senior). TC including stock often 1.6-2x base at FAANG.
• LinkedIn data: postings explicitly requesting “DEA-C01” or “AWS Certified Data Engineer” pay ~10% above generic “data engineer” postings at the same level.

Bottom line: the cert is worth the $150 and 6-10 weeks of prep, but ONLY if you also build a portfolio. The cert opens doors; the portfolio gets you hired.

Best ways to prepare for DEA-C01

Honest ranking by community consensus (r/AWSCertifications, exam pass-rate surveys):

#1 (paid, comprehensive): Stephane Maarek’s DEA-C01 on Udemy

Stephane Maarek’s DEA-C01 course on Udemy ($15-30 with Udemy discount). Strong choice for exam-style framing across all 4 domains. ~25-30 hours.

#2 (essential): Tutorials Dojo practice tests

$14.99 for full-length practice tests by Jon Bonso. Hardest tests on the market — pass these and you’ll pass the real exam.

#3 (free, official): AWS Skill Builder DEA-C01 prep

Official AWS DEA-C01 learning path. Free. Solid baseline alongside Maarek’s paid course.

#4 (for portfolio + hands-on depth): Udacity Data Engineering Nanodegree

If your goal is to actually GET HIRED as a data engineer (not just pass the cert), the Udacity Data Engineering with AWS Nanodegree covers ~80% of DEA-C01 exam content through hands-on projects on real AWS infrastructure. The 4 GitHub-ready projects are what employers actually inspect.

$399/month + ~$100-150/month AWS costs. ~5-6 months. Use AFTER passing DEA-C01 if your priority is the cert; use SIMULTANEOUSLY if you want both portfolio + cert. Read our full Udacity DE Nanodegree review.

#5 (alternative paid course): A Cloud Guru / Pluralsight

$35-50/month for ~30 hours of structured exam prep. Solid alternative to Maarek if you prefer different teaching style.

#6 (data warehouse-specific supplement): DataCamp Data Engineer Career Track

If you’re weak on data warehousing and Spark fundamentals, the DataCamp Data Engineer Career Track ($25-39/mo) covers SQL, Spark, and Airflow at the syntax-and-pattern level. Less production-oriented than Udacity but cheaper for fundamentals.

12-week study plan (working professionals)

Weeks 1-2: Foundations

• Read AWS DEA-C01 official exam guide (free PDF).
• Complete free AWS Skill Builder courses on S3, EC2, IAM fundamentals.
• Set up your AWS account with billing alerts at $25, $50, $100 thresholds.

Weeks 3-6: Domain 1 + 2 (the bulk of the exam)

• Start the Udacity Data Engineering Nanodegree OR A Cloud Guru DEA-C01 course.
• Build hands-on projects: Postgres data modeling, Cassandra modeling, Redshift cluster, Snowflake warehouse, Spark on EMR.
• Read the AWS whitepaper “Data Analytics Lens for Well-Architected Framework” (free).

Weeks 7-9: Domain 3 + 4

• Airflow on MWAA project + Step Functions tutorial.
• Lake Formation hands-on labs (free in AWS Skill Builder).
• Glue Data Quality and CloudTrail audit practice.

Weeks 10-11: Practice tests + weak spots

• Take Tutorials Dojo practice tests. Score below 75%? Identify weak domains and re-study.
• Take AWS Official Practice Exam (1x).
• Review every wrong answer until you understand why.

Week 12: Schedule the exam, final review, take it

• Schedule for end of week 12.
• Last 2-3 days: skim domain summaries, no new content.
• Take the exam. Most candidates pass first try with this plan.

Frequently Asked Questions

How hard is the DEA-C01 exam?

Moderate. Easier than Solutions Architect Professional, harder than Solutions Architect Associate. Most candidates with 1-2 years of data engineering experience and 6-10 weeks of focused prep pass first try.

How much does AWS Certified Data Engineer Associate cost?

$150 for the exam itself. Total cost including prep materials: $250-$650 depending on whether you use free resources only or buy a Nanodegree.

Is DEA-C01 worth it?

Yes for data engineers in or targeting AWS-shop roles. Adds ~10% to median offer at junior-to-mid level. Less impactful for senior engineers with strong portfolios.

How is DEA-C01 different from the AWS Big Data Specialty?

The Big Data Specialty (BDS-C00) was retired in April 2024. DEA-C01 is its replacement, with broader coverage that includes modern services (Lake Formation, Glue, MWAA) the older cert didn’t cover.

Should I get DEA-C01 or AWS Solutions Architect Associate first?

If you specifically want to be a Data Engineer, get DEA-C01 directly. If you want broader cloud fundamentals or aren’t sure of your specialty yet, get SAA first — it’s more general-purpose.

Can I pass DEA-C01 with no AWS experience?

Difficult but possible — expect 16-20 weeks of full-time prep instead of 6-10. AWS recommends 1-2 years of AWS experience as a baseline.

Does the Udacity Data Engineering Nanodegree cover everything on DEA-C01?

~80% — very strong coverage of Domains 1-3. Domain 4 (security/governance) needs supplemental study, especially Lake Formation fine-grained access and Glue Data Quality. See our Udacity DE Nanodegree review for full curriculum details.

What if I fail DEA-C01?

You can retake after 14 days. Each attempt is another $150. Most failures come from underweighting Domain 1 (data ingestion services) or Domain 2 (Redshift performance tuning) — review those most carefully.

How does DEA-C01 compare to Azure Data Engineer (DP-203/DP-700)?

Roughly equivalent in scope and difficulty. Pick based on your target employer’s cloud. If you’re unsure, see our AWS vs Azure comparison guide. Or read our Azure Data Engineer certification guide.

Related guides

Cert path: Azure Data Engineer (DP-700) cert guide · AWS vs Azure comparison

Best courses: Udacity Data Engineering Nanodegree review · All data engineering courses ranked

Adjacent AWS certs: AWS Cloud Architect Nanodegree · AWS ML Engineer Nanodegree