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.
Whiteland, Indiana, United States of America
Live, first seen by us 69 days agoData Engineer I
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
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.
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
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
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$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.
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.
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- 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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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.
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.
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
Required Experiences
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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Whiteland, Indiana, United States of America
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