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Coding Macaw Training Program

Build Your Future in Data Engineering

Learn SQL, Python, data modeling, ETL/ELT pipelines, PySpark, Airflow and cloud data warehouses on real data problems, build a hands-on Data Engineer portfolio, and explore the next steps toward a career as a Data Engineer.

Practical learning Portfolio projects Career guidance

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  • Understand the program structure
  • Discuss your learning goals
  • Ask about fees and career support
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Bootcamp Highlights

Everything built into the program to take you from SQL and Python fundamentals to data pipelines, ETL, Spark, Airflow and cloud data warehouses.

Live Instructor-Led Training

Learn in real time with expert instructors — every session live and interactive.

Hands-On Training & Projects

Build data pipelines, ETL jobs, data models and production-ready analytics datasets.

1:1 Mentorship

Get guidance on SQL, Python, Spark, Airflow, cloud data platforms and career preparation.

Placement & Career Assistance

Resume and LinkedIn optimization, Data Engineer job search guidance and career support.

Interview Preparation

Practice business case studies, requirements scenarios, technical and behavioral interviews with structured feedback.

Course Completion Certificate

Receive a certificate validating your Data Engineer training.

Recording Access

Revisit live sessions with extended recording access when you need more practice.

Structured Cohort Learning

Learn in a focused cohort with guided DE labs, pipeline-building projects and mentor support.

From Skills to Career Opportunities

Data Engineer and technology placements across the U.S. — proof that this path works.

135
OPT
198
Green Card
223
U.S. Citizens
156
H-1B / H-4 EAD
712
Students Placed across multiple U.S. career opportunities.
Companies We Collaborate With
NVIDIANVIDIA logo GoogleGoogle logo AppleApple logo AmazonAmazon logo MicrosoftMicrosoft logo MetaMeta logo LeidosLeidos logo CVS HealthCVS Health logo Capital OneCapital One logo Freddie MacFreddie Mac logo KPMGKPMG logo LTIMindtreeLTIMindtree logo TCSTCS logo Bright MLSBright MLS logo Health FirstHealth First logo First Citizens BankFirst Citizens Bank logo Everest ReinsuranceEverest Reinsurance logo Waste ManagementWaste Management logo Rush University Medical CenterRush University Medical Center logo CivixCivix logo Oak Street HealthOak Street Health logo
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Career Outcomes

What Data Engineer placements look like for our graduates across the U.S.

91%
Placement Percentage
$140K
Average Salary
104%
Avg Salary Hike
$200K
Highest Salary
Student Placements & Reviews

Our Students Get Placed

Graduates of the Data Engineer Bootcamp now work at companies we partner with — here's what they say.

MT
Michael Torres
Placed at Google
★★★★★

"The 90-day live training gave me real project experience. Within weeks of finishing, I cleared my interviews and got placed as a Data Engineer."

JW
Jessica Whitman
Placed at Microsoft
★★★★★

"Mentors explained SQL, Python and pipeline design from scratch. The mock interviews and resume support made all the difference in my placement."

DC
David Chen
Placed at TCS
★★★★★

"Building the capstone data pipeline suite in class is what got me shortlisted. Truly hands-on, not just theory."

SR
Sarah Reynolds
Placed at CVS Health
★★★★★

"I switched from a non-tech background. The cohort structure and career guidance helped me land my first data engineer role."

KB
Kevin Brooks
Placed at Capital One
★★★★★

"Live sessions, real DE labs with real datasets, and feedback on every project. My portfolio spoke for itself in interviews."

AR
Ashley Ramirez
Placed at KPMG
★★★★★

"The placement team stayed with me until I was placed. Regular updates and interview prep kept me on track."

BM
Brandon Miller
Placed at LTIMindtree
★★★★★

"Six months of recording access meant I could revise everything before my interviews. Great value for the price."

EW
Emily Walsh
Placed at Health First
★★★★★

"From SQL basics to building production data pipelines in Airflow — the journey was structured and the support was genuinely personal."

DP
Daniel Parker
Placed at Leidos
★★★★★

"The instructors actually work in the industry. Every question got a real-world answer, not a textbook one."

RT
Rachel Thompson
Placed at Freddie Mac
★★★★★

"Small cohorts meant I was never just a face in the crowd. My mentor knew my goals and pushed me toward them."

ML
Marcus Lee
Placed at Bright MLS
★★★★★

"The Tableau and Power BI labs are exactly what employers ask about now. I walked into interviews already fluent in them."

AF
Amanda Foster
Placed at First Citizens Bank
★★★★★

"Career support didn't stop at the resume. They prepped me for behavioral rounds too, and it paid off."

TN
Tyler Nguyen
Placed at Everest Reinsurance
★★★★★

"Live classes every week kept me accountable. The dashboarding module was my favorite — we built real production-grade reports."

LG
Lauren Gibson
Placed at Waste Management
★★★★★

"I went from zero DE experience to delivering a full ETL pipeline and data model suite in 90 days. The structure made it possible."

CM
Chris Morgan
Placed at Meta
★★★★★

"Worth every dollar. The capstone DE project is still the centerpiece of my portfolio and it's what got me hired."

Career growth journey
Speak With Our Team

You could be our next success story.

Have questions about the course? Request a consultation and share a suitable time for a call.

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Take the Next Step in Your Data Engineer Journey

Share your details so the Coding Macaw team can follow up about the Data Engineer Bootcamp.

What happens next?

  • Your form details are submitted to the configured backend.
  • If you opt in, the backend can send one WhatsApp confirmation.
  • A team member can follow up about your enquiry.

 No obligation · Beginner-friendly

90-Day 
 Data Engineer Curriculum

Nine practical modules covering SQL, Python, data modeling, ETL/ELT, Spark, Airflow, cloud data warehouses and dbt — ending with an end-to-end data engineering capstone.

Module 1 · Data Engineering Foundations — Role, Data Lifecycle & Tools
The Data Engineer role, the modern data lifecycle, batch vs streaming, how data platforms fit together and how DE teams work with stakeholders.
Module 2 · SQL & Data Modeling
Advanced SQL, joins, window functions, normalization, dimensional modeling, star schemas and designing analytics-ready data models.
Module 3 · Python for Data Engineering
Python fundamentals, pandas, scripting ETL jobs, working with APIs and files, error handling and logging for data workflows.
Module 4 · ETL & ELT Pipeline Development
Extract-transform-load patterns, batch ingestion, data quality checks, idempotent pipeline design and hands-on pipeline labs.
Module 5 · Apache Spark & PySpark
Spark architecture, DataFrames, transformations, partitioning, performance tuning and processing large datasets with PySpark.
Module 6 · Airflow & Workflow Orchestration
DAGs, scheduling, dependencies, retries and monitoring data pipelines in production with Apache Airflow.
Module 7 · Cloud Data Warehouses
Snowflake, BigQuery and Redshift concepts, warehouse design, cost-aware querying and serving trusted analytics datasets.
Module 8 · dbt & Analytics Engineering
dbt models, tests and documentation, Git version control, CI/CD for data and building trusted transformation layers.
Module 9 · DE Capstone — End-to-End Data Pipeline
Ingest raw data, build transformations, orchestrate the pipeline, add data quality checks and present a professional data engineering solution.
Download the Syllabus

Fill a quick form and get the full 90-day curriculum PDF instantly.

Pricing

Choose Your Career Track

Skill Builder
$2,250

Build Strong Data Engineering Foundations

  • 3-Month Live Instructor-Led Training
  • Comprehensive Technical Curriculum
  • Hands-On Training & Projects
  • Assignments & Technical Assessments
  • Learning Resources Included
  • Course Completion Certificate
  • 3-Month Recording Access
  • Structured Cohort-Based Learning
Apply Now
Career Elite
$4,950

Personalized Data Engineer Training. Dedicated Career Support.

  • 1:1 Technical Mentorship
  • Flexible 1:1 Training Sessions
  • Weekend Support Available
  • Private 1:1 Mock Interviews
  • Personalized Interview Preparation
  • Individual Project Guidance
  • Customized Career Strategy
  • Lifetime Recording Access
  • Fully Personalized Curriculum
  • Job-Specific Technical Training
  • Priority Career & Placement Support
  • Complimentary Generative AI Bootcamp
  • 30-Day On-the-Job Support
  • Post-Placement Transition Guidance
Apply Now

Monthly payment plans are available on all plans — spread your payment over easy installments. Not sure which plan fits? Apply free and talk to our team before you decide.

8+ Skills You'll Master

The modern data engineering toolkit — from SQL and Python to Spark, Airflow, dbt and cloud data warehouses — taught live and hands-on over 90 days.

SQL

Query & transform business data

Python & pandas

Scripting & ETL jobs

PySpark

Big data processing at scale

Airflow

Orchestration & scheduling

ETL & ELT Pipelines

Ingestion & batch processing

dbt

Transformations & testing

Cloud Data Warehouses

Snowflake, BigQuery & Redshift

Data Modeling

Dimensional & star schemas

Key Features

100% Live Training

Real instructors, real time

End-to-End Projects

Portfolio-ready applications

Data Pipeline Labs

Build real ETL pipelines

Pipeline Workshops

Build Airflow & dbt DAGs

Career Fast-Track

Resume & interview coaching

Big Data Skills

Spark, batches & streaming

Your Career Journey

Six simple steps to build practical data engineering skills and prepare for Data Engineer career opportunities.

01

Apply Now

Register and get your syllabus instantly.

02

Attend the 90-Day Bootcamp

Live hands-on DE training.

03

Complete Labs & Projects

Build data pipelines, ETL jobs and data modeling projects.

04

Build Your DE Capstone

Create a portfolio-ready data engineering project.

05

Career Preparation

Resume, mock interviews & job search guidance.

06

Target Data Engineer Roles

Prepare for Data Engineer, Analytics Engineer and ETL Developer opportunities.

Apply Now

Step 01 — Apply in under a minute and get your syllabus, class links and bootcamp updates by email.

Frequently Asked Questions

Q1. Who can join these bootcamps?
Our bootcamps are designed for students, recent graduates, working professionals, and career changers interested in developing their technical skills. Prerequisites may vary depending on the program.
Q2. Are the bootcamps conducted online or offline?
Our bootcamps offer live online training, allowing participants to learn remotely. Contact our team for the upcoming batch schedule and session timings.
Q3. Do I need prior technical knowledge or coding experience?
Requirements vary by bootcamp. Some programs may be suitable for beginners, while others may require basic programming or technical knowledge. Contact our team to find the right program for your experience level.
Q4. Will I work on practical projects during the bootcamp?
Our bootcamps focus on practical learning and applying concepts through hands-on activities and projects relevant to the selected program.
Q5. How can I get the syllabus, fees, and enrollment details?
Submit the enquiry form on this page, contact our team through WhatsApp or phone, or book a consultation. Our team will help you with the syllabus, fees, schedule, and enrollment process.
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Ready to Take the Next Step?

Have questions about the Data Engineer bootcamp, curriculum, pricing or career paths? Book a free consultation with our team.

No obligation. Just guidance to help you plan your next career step.