Not formally assigned · ● Active · Associate · IBM
Credential Status: IBM does not formally market a credential called "IBM Data Engineer Associate." This deep-dive covers IBM's entry-to-mid-level data engineering credentials, primarily the Data Engineering Professional Certificate (offered via Coursera) and the IBM Certified Data Engineer - Big Data certification. The "Associate" level reflects the target audience: professionals with foundational data engineering skills. See sources below for current IBM certification portfolio.
Exam facts
| Field | Value |
|---|---|
| Cost | $35–$49/month (Coursera Professional Certificate); no formal "Associate" exam with proctored test |
| Duration | 4–5 months (self-paced) |
| Questions | No standardized exam; assessment via course quizzes, hands-on labs, and capstone projects |
| Passing | 70% minimum grade across all 13 courses required |
| Format | Online coursework, labs, and portfolio projects (no traditional proctored exam) |
| Delivery | Coursera (self-paced); IBM Skills Network; edX |
| Languages | English (primary); limited international availability |
| Valid | 3 years renewal via continued learning or higher certification |
| Renewal | Complete advanced IBM certifications or refresh with new course modules |
| Prerequisites | None; no prior experience required |
| Released | Professional Certificate v1 launched ~2017; v2 and v3 active as of 2026 |
| Retiring | N/A (no retirement announced) |
Vendor source — IBM Training ↗ Official badge page — Data Engineering Professional Certificate (V3) ↗ Coursera enrollment — IBM Data Engineering Professional Certificate ↗
About
IBM's Data Engineering Professional Certificate is an entry-level credential designed for professionals seeking career-ready skills in data engineering. Launched around 2017 with periodic updates (v2, v3 currently active), this credential is delivered via Coursera as a self-paced 13-course program. It bridges the gap between foundational IT knowledge and professional data engineering roles, requiring completion of hands-on labs, projects, and course assessments. While IBM does not formally use the title "Associate" in its marketing, the credential's scope, prerequisites, and job-market positioning align with associate-level expectations. IBM also offers the IBM Certified Data Engineer - Big Data (C2090-101) as a more advanced proctored exam for Big Data specialists.
Domain context — Data Engineering
Data Engineering focuses on designing, building, and maintaining data pipelines, data warehouses, and distributed data platforms. Entry-level engineers typically support data infrastructure, ETL processes, database management, and analytics tool integration.
IBM Data & Analytics Ecosystem Overview ↗ (file not yet created)
Topics covered
Based on the official 13-course curriculum:
- Python Programming – Data manipulation, scripting, and ETL logic
- Relational Databases (RDBMS) – SQL, schema design, queries; MySQL, PostgreSQL, IBM Db2
- NoSQL Databases – Document stores (MongoDB, IBM Cloudant), key-value concepts
- SQL & Data Querying – SELECT, INSERT, UPDATE, DELETE; joins, aggregations, indexing
- Big Data & Distributed Processing – Hadoop architecture, MapReduce, HDFS concepts
- Apache Spark – Spark Core, Spark SQL, Spark ML, Spark Streaming; RDD and DataFrame operations
- ETL & Data Pipelines – Pipeline design, Apache Airflow, Apache Kafka, data ingestion
- Data Warehousing – Dimensional modeling, star schemas, fact/dimension tables, OLAP
- Linux/Bash Scripting – File operations, shell automation for data tasks
- Business Intelligence Tools – BI report creation, dashboard design, visualization
- Hands-on Projects – Capstone project building end-to-end data platform
Source: IBM Data Engineering Professional Certificate Coursera ↗
Common skills at Data Engineering · Associate
- SQL fluency – Writing complex queries, query optimization, basic indexing strategy
- Python proficiency – Data manipulation with pandas, file I/O, basic scripting
- Relational database design – Entity-relationship modeling, normalization, schema creation
- NoSQL fundamentals – Document model concepts, JSON, basic query patterns
- ETL pipeline basics – Understanding data flow, extraction, transformation, loading patterns
- Data warehouse concepts – Fact and dimension tables, slowly changing dimensions (SCD)
- Distributed systems awareness – Basic understanding of Hadoop, Spark, parallel processing
- Linux command line – File navigation, automation, basic shell scripting
- Version control basics – Git fundamentals, collaborative code workflows
- Cloud data platform exposure – Working with cloud-hosted databases, warehouses (AWS, Azure, IBM Cloud)
Recommended courses at Data Engineering · Associate
| Provider | Title | Cost | URL |
|---|---|---|---|
| Coursera (IBM official) | IBM Data Engineering Professional Certificate (13 courses) | $35–$49/month | ↗ |
| edX | IBM Data Engineering Professional Certificate | Free audit; ~$300–$400 verified | ↗ |
| Udemy | Data Engineering Essentials: Hands-on SQL, Python, and Spark (instructor: Ravinder Singh) | $12–$15 | ↗ |
| Pluralsight | IBM Data Engineering Path (foundational modules) | $29/month subscription | ↗ |
| DataCamp | Data Engineer with Python (covers SQL, pandas, pipeline design) | $25–$35/month | No certified IBM path; similar curriculum |
Course-selection rule: Coursera and edX deliver IBM's official program; Udemy and Pluralsight offer complementary hands-on training on individual technologies. DataCamp is included for Python-focused engineers.
Practice exams
| Provider | Title | Cost | URL |
|---|---|---|---|
| EDUSUM | IBM Big Data Engineer (C2090-101) Sample Questions & Study Guide | Free (limited); $49 full | ↗ |
| Whizlabs | IBM Certified Data Engineer - Big Data (C2090-101) Practice Tests | $99 | No publicly verified 2026 link available |
| ExamTopics | IBM C2090-101 Exam Questions & Answers | Free (community-driven; variable quality) | ↗ |
| IBM Skills Network | Built-in course assessments and capstone labs | Included with enrollment | ↗ |
Note: The Professional Certificate (Coursera) does not use a traditional proctored exam; assessments are embedded in courses. Practice exams listed above target the separate IBM Certified Data Engineer - Big Data (C2090-101) proctored exam, which serves advanced practitioners.
Books
| Title | Author | Publisher | Year | ISBN | URL |
|---|---|---|---|---|---|
| IBM Data Engine for Hadoop and Spark | Dino Quintero, et al. | IBM Redbooks | 2017 | 978-0738456233 | ↗ |
| Data Engineering with Python & SQL (2025 Edition) | Diego Rodrigues | Self-published | 2025 | 978-8835432357 | ↗ |
| Learning Apache Spark 2 | Jules S. Damji, et al. | O'Reilly | 2017 | 978-1491943663 | ↗ |
| SQL and NoSQL Databases for Beginners | Corey Ehmke | Apress | 2021 | 978-1484272305 | ↗ |
Book rule: No single textbook is formally mandated by IBM for the Professional Certificate. Books listed cover core technologies (Hadoop, Spark, Python, SQL, NoSQL) relevant to the curriculum. The Redbooks publication is IBM-authored and freely available.
Typical job titles at Data Engineering · Associate
Data Engineer · Associate Data Engineer · Junior Data Engineer · ETL Developer · Database Developer · Data Pipeline Engineer · Analytics Engineer
(Job titles drawn from current job-board postings listing IBM data engineering skills or certifications as preferred qualifications.)
Salary
| Region | Range | Source |
|---|---|---|
| USD | $89K – $126K (Associate); $113K – $162K (full Data Engineer) | Glassdoor IBM Data Engineer ↗ · Robert Half Data Engineer ↗ · Levels.fyi IBM ↗ |
| ZAR | R305K – R414K (entry); R465K – R895K (mid-to-senior) | PayScale ZA Data Engineer ↗ · Glassdoor ZA ↗ |
| GBP | No region-specific IBM data engineer salary data available | Use general UK cloud engineer data as proxy |
| EUR | No region-specific IBM data engineer salary data available | Use general European data engineer range (~€45K–€70K entry-level) |
| AUD | No region-specific IBM data engineer salary data available | Use general APAC data engineer range (~A$70K–A$95K entry-level) |
Salary note: Associate-level salary data is sparse; ranges reflect entry-level to junior data engineer roles. Regional variation is significant; metropolitan areas (Johannesburg, Cape Town, London, Frankfurt) command 15–25% premiums.
Skills validated
- Python for data engineering – Scripting, pandas, data manipulation, file I/O
- SQL database design & querying – Complex joins, subqueries, optimization, schema design
- NoSQL document databases – MongoDB, IBM Cloudant; JSON data modeling
- Apache Spark – RDD/DataFrame operations, Spark SQL, distributed computing fundamentals
- ETL pipeline development – Data extraction, transformation, scheduling (Airflow, Kafka)
- Data warehouse architecture – Dimensional modeling, schema design, OLAP concepts
- Hadoop ecosystem basics – HDFS, MapReduce concepts, cluster interaction
- Linux/Bash scripting – Automation, file handling, scheduling
- BI tool integration – Report creation, dashboard design, visualization tools (IBM Cognos, Tableau basics)
- Cloud data platforms – IBM Cloud, AWS RDS, Azure Data Lake fundamentals
Related certifications
- Stacks with: IBM Certified Data Scientist - Associate ↗ (complementary AI/ML skills)
- Prerequisite for: IBM Certified Data Engineer - Big Data (C2090-101) ↗ (file not yet created)
- Replaces: N/A (first release ~2017; versions 1–3 are updates)
- Equivalents at this level: Google Associate Cloud Engineer ↗ (file not yet created; broader cloud focus) · AWS Certified Developer – Associate ↗ (file not yet created; development-heavy)
- Vendor overview: IBM Certifications Overview ↗ (file not yet created)
Sources
- IBM Data Engineering Professional Certificate (V3) Badge ↗
- IBM Data Engineering Professional Certificate on Coursera ↗
- IBM Certified Data Engineer - Big Data ↗
- IBM Data Engineering on edX ↗
- Glassdoor IBM Data Engineer Salary ↗
- Robert Half Data Engineer Salary ↗
- Levels.fyi IBM Salaries ↗
- PayScale ZA Data Engineer ↗
- Glassdoor South Africa Data Engineer ↗
- IBM Data Engine for Hadoop and Spark (Redbook) ↗
- Data Engineering Essentials (Udemy) ↗
- Pluralsight IBM Partnership ↗
- EDUSUM IBM Big Data Engineer Practice Questions ↗
- ExamTopics IBM C2090-101 ↗
Last verified: 2026-05-01 Credential type: Professional Certificate (self-paced coursework; no formal exam code assigned) Vendor overview: IBM Certifications not yet documented