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DAT Off Campus Drive 2026 | Data Engineer I Hiring in Bengaluru (Freshers & Early Professionals) | Placement Officer
Detailed Summary
DAT Freight & Analytics has announced the DAT Off Campus Drive 2026 for the role of Data
Engineer I at its Bengaluru, Karnataka office. This opportunity is
ideal for early-career professionals with 1–3 years of experience or strong
internship exposure in data engineering, analytics engineering, or similar
technical roles.
The selected candidates will work
on cloud-based data pipelines, ELT processes, and data transformation
systems using modern technologies such as Snowflake, Apache Airflow, dbt
(data build tool), Python, and SQL.
DAT is a next-generation SaaS
technology company that powers the largest freight marketplace in North
America and processes over $100 billion in freight transactions annually.
This role provides a great
opportunity to work in data engineering, big data infrastructure, and cloud
analytics systems, while collaborating with experienced engineers in a
highly innovative environment.
About DAT Freight & Analytics
DAT Freight & Analytics is a leading SaaS technology company in transportation logistics and
supply chain analytics. For more than 45 years, DAT has been driving
innovation in freight transportation systems.
Key highlights about DAT:
·
Operates the largest
freight marketplace in North America
·
Processes over
$100 billion freight transactions annually
·
Provides
advanced data analytics and logistics insights
·
Headquarters
in Denver, Colorado
·
Global offices
in Missouri, Oregon, and Bengaluru
DAT’s technology enables logistics
companies to make smarter decisions, improve efficiency, and optimize supply
chain operations.
Job Role
Data Engineer I
Location: Bengaluru, Karnataka, India
Job Type: Full-Time
Department: Technology
Experience: 1–3 Years
Job ID: 1385
Key Technologies Used
Candidates selected for this role
will work with the following modern data engineering technologies:
·
Data
Warehouse: Snowflake
·
Data
Transformation: dbt (data build tool)
·
Workflow
Orchestration: Apache Airflow
·
Programming
Languages: Python, SQL
These technologies are widely used
in modern cloud data engineering architectures.
Detailed Job Description
The Data Engineer I at DAT
will be responsible for building, maintaining, and optimizing data pipelines
and analytics infrastructure used to process large volumes of logistics and
transportation data.
The role involves working closely
with senior engineers to develop scalable and reliable data engineering
systems.
Primary responsibilities include:
·
Developing and
maintaining cloud-native ELT data pipelines
·
Designing data
models using dbt
·
Writing
optimized SQL queries for data transformation
·
Developing
automation scripts using Python
·
Managing
workflow orchestration using Apache Airflow
·
Implementing data
validation frameworks
·
Troubleshooting
pipeline failures and monitoring data systems
·
Maintaining technical
documentation for data models and pipelines
Core Responsibilities
Data Pipeline Development
·
Build and
maintain ELT data pipelines
·
Load data
efficiently into Snowflake data warehouse
·
Develop data
transformations using dbt
SQL & Python Development
·
Write advanced
SQL queries
·
Optimize query
performance
·
Create Python
scripts for automation and data extraction
Workflow Automation
·
Develop and
maintain Airflow DAGs
·
Schedule and
manage pipeline dependencies
·
Automate
repetitive data engineering tasks
Data Quality & Monitoring
·
Implement data
validation checks
·
Monitor
pipeline performance
·
Troubleshoot
failures and resolve data issues
Educational Qualification
Candidates must have:
·
Bachelor’s
Degree in:
o Computer Science
o Information Technology
o Data Science
o Engineering
o Any related quantitative field
Experience Required
·
1 – 3 years
of experience
·
Internship
experience in data engineering or analytics engineering may be
considered
Essential Skills Required
Technical Skills
·
Strong Python
programming
·
Advanced SQL
knowledge
·
Understanding
of data pipelines and ETL/ELT concepts
·
Hands-on
experience with Snowflake or similar cloud data warehouse
·
Knowledge of dbt
for data transformation
·
Basic
experience with Apache Airflow
Additional Skills
·
Data modeling
·
Data quality frameworks
·
Workflow
orchestration
·
Cloud data
platforms
·
Automation and
scripting
Soft Skills
·
Analytical
thinking
·
Problem
solving ability
·
Attention to
detail
·
Strong
teamwork and collaboration
·
Good
communication skills
Expected Salary for Data Engineer I at DAT
Based on industry salary
comparisons for Data Engineers in Bengaluru:
|
Experience |
Expected Salary |
|
Freshers /
Internship Experience |
₹7 LPA – ₹10 LPA |
|
1–3 Years
Experience |
₹10 LPA – ₹16 LPA |
Estimated Average Salary:
₹10 LPA – ₹14 LPA
Salary may vary depending on technical
skills, experience, and interview performance.
Eligible Batches
Based on the experience requirement
(1–3 years), likely eligible batches include:
·
2026 Batch (with internship experience)
·
2025 Batch
·
2024 Batch
·
2023 Batch
Candidates with relevant
internships or project experience in data engineering will have a strong
advantage.
Job Location
📍 Bengaluru, Karnataka,
India
Bengaluru is one of India’s largest
technology hubs, offering excellent opportunities in data engineering,
cloud computing, and AI careers.
Pro Tips to Apply for DAT Off Campus Drive
1. Strengthen Python & SQL
Data engineering roles heavily rely
on Python and SQL for pipeline development.
Practice:
·
SQL joins
·
Window
functions
·
Query
optimization
2. Learn Modern Data Engineering Tools
Focus on learning:
·
Snowflake
·
Apache Airflow
·
dbt
·
ETL/ELT
pipelines
These tools are widely used in modern
data platforms.
3. Build Real Data Engineering Projects
Create projects like:
·
Data pipeline
using Airflow
·
Data warehouse
analytics using Snowflake
·
ETL pipeline
using Python + SQL
Publish them on GitHub.
4. Prepare Data Engineering Interview Topics
Focus on:
·
Data modeling
·
SQL
optimization
·
Data pipelines
·
Distributed
systems basics
·
Cloud data
platforms
5. Optimize Your Resume
Highlight:
·
Python &
SQL projects
·
Data
engineering internships
·
GitHub
repositories
·
Certifications
in data engineering or cloud
Typical Hiring Process
The recruitment process for DAT may
include:
1.
Online
Application
2.
Resume
Shortlisting
3.
Technical
Assessment
4.
Data
Engineering Interview
5.
HR Interview
6.
Offer Letter
Frequently Asked Questions (FAQs)
1. Is DAT hiring freshers in 2026?
Yes. Candidates with strong
internships or project experience in data engineering can apply.
2. What is the salary of a Data Engineer I at DAT?
The expected salary ranges from ₹10 LPA to ₹14 LPA depending on experience.
3. Which technologies should I know for this role?
Candidates should know:
·
Python
·
SQL
·
Snowflake
·
Apache Airflow
·
dbt
4. What is the job location?
The job location is Bengaluru,
Karnataka, India.
5. Which degree is required for this job?
A Bachelor’s Degree in Computer
Science, IT, Engineering, or related fields is required.
Conclusion
The DAT Off Campus Drive 2026
for Data Engineer I is a fantastic opportunity for aspiring data
engineers and analytics professionals to join a globally recognized SaaS
company.
Working at DAT provides exposure to
cutting-edge cloud data technologies such as Snowflake, Apache Airflow, and
dbt, while solving real-world logistics and transportation challenges.
If you are passionate about data engineering, automation, and building scalable data systems, this role can be a strong launchpad for your career in the rapidly growing data and analytics industry.
🔗 Apply Link: Click Here To Apply for Dat
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
guarantee any job placements. Recruitment will be conducted according to the
company's official process. We do not charge any fees for sharing this job
information.
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