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Data Engineer I

Whiteland, Indiana, United States of America

Live, first seen by us 69 days ago
Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

Before you apply

New graduates
Entry levelData Engineer I

What you’ll work on

Full posting
  • Design, build and deploy data processes that serve multiple systems and products

  • Develop and sustain data workflows for modeling, mining and production

  • Recommend and implement data pipeline designs that optimize data flow

  • Architect, build and launch data models that support business objectives

  • Use a variety of languages and tools to integrate systems and improve data quality

From the employer’s posting
Design, build, and deploy data processes that serve multiple systems and products.
Develop and sustain data workflows for modeling, mining, and production
Recommend and implement data pipeline designs that optimize data flow for cross functional teams.
Architect, build, and launch data models that support business objectives
Use a variety of languages and tools to integrate systems and enhance data reliability, efficiency, and quality.

What you’ll bring

All qualifications

Core experience

  • 1+ years of experience in data engineering or a related technical role
  • Hands-on experience developing and managing data pipelines
  • Strong understanding of SQL and database systems such as MySQL, PostgreSQL or SQL Server
  • Proficiency in Python, Java, or Scala
  • Knowledge of data modeling, ETL and data warehousing, particularly in Azure
Qualification wording
1+ years of experience in data engineering or a related technical role, required
Hands on experience developing and managing data pipelines, required
Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required
Proficiency in programming languages such as Python, Java, or Scala, required
Knowledge of data modeling, ETL processes, and data warehousing concepts—particularly within Azure environments, required
Education & alternatives
Required Experiences - Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required - 1+ years of experience in data engineering or a related technical role, required

Posting record

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Status in our records
Live
First seen by us
Aug 26, 202669 days ago
Recorded sightings
17
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 69

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Deutsche Post DHL Group is hiring

21 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • SQL
  • Azure
  • Databricks
  • MySQL
  • PostgreSQL
  • Power BI
  • SQL Server
Where the posting names them
- Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required - Proficiency in programming languages such as Python, Java, or Scala, required - Familiarity with data warehousing solutions and working with large datasets, required
- Hands on experience developing and managing data pipelines, required - Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required - Proficiency in programming languages such as Python, Java, or Scala, required
- Familiarity with data warehousing solutions and working with large datasets, required - Knowledge of data modeling, ETL processes, and data warehousing concepts—particularly within Azure environments, required - Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred
- Knowledge of data modeling, ETL processes, and data warehousing concepts—particularly within Azure environments, required - Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred - Ability to work with data visualization tools such as Power BI, preferred
- Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred - Ability to work with data visualization tools such as Power BI, preferred - Understanding of data governance and data quality principles, preferred

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Are you ready to shape the data that powers real impact in the supply chain world? At DHL Supply Chain, we’re looking for a Data Engineer I who’s excited to build reliable data pipelines, enhance data accessibility, and support innovative solutions across the business. This is your chance to influence how information flows through our operations, driving smarter decisions and continuous improvement. If you’re a curious, collaborative problem solver with a passion for data engineering, growth, and meaningful impact—this role is for you!


Job Description

As a Data Engineer I, you’ll design and optimize data pipelines that ensure reliable, accessible information across DHL Supply Chain. You’ll develop and maintain data flows, integrate systems using various tools, and build models that support business objectives. Collaborating with developers, analysts, and data scientists, you’ll implement scalable architectures and identify opportunities to improve data quality and efficiency. This role is perfect for someone ready to enhance data usability and drive impactful solutions in a collaborative environment.


Responsibilities

  • Support developers, architects, analysts, and data scientists by improving data accessibility and usability.
  • Maintain consistency across projects by following established data delivery architecture standards.
  • Recommend and implement data pipeline designs that optimize data flow for cross functional teams.
  • Design, build, and deploy data processes that serve multiple systems and products.
  • Develop and sustain data workflows for modeling, mining, and production, identifying opportunities for new data acquisition and integration.
  • Use a variety of languages and tools to integrate systems and enhance data reliability, efficiency, and quality.
  • Architect, build, and launch data models that support business objectives and strengthen analytics capabilities.
  • Collaborate with cross functional partners to ensure data initiatives align with organizational goals and stakeholder needs.


Required Experiences

  • Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 1+ years of experience in data engineering or a related technical role, required
  • Hands on experience developing and managing data pipelines, required
  • Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required
  • Proficiency in programming languages such as Python, Java, or Scala, required
  • Familiarity with data warehousing solutions and working with large datasets, required
  • Knowledge of data modeling, ETL processes, and data warehousing concepts—particularly within Azure environments, required
  • Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred
  • Ability to work with data visualization tools such as Power BI, preferred
  • Understanding of data governance and data quality principles, preferred


At DHL Supply Chain, we foster a business casual environment focused on teamwork, associate development, and continuous improvement. We offer competitive wages, excellent insurance benefits (health, dental, vision, life), a 401K plan, paid vacation and holidays, and opportunities for career growth. We are proud to be an equal opportunity employer.

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Location & working pattern

Whiteland, Indiana, United States of America

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