Data Engineer I

DHL; New Whiteland (IN); On-site; Confidential; Full time

Benefits offered by this job

Competitive wages

Insurance benefits

401K plan

Paid vacation and holidays

Career growth

Job summary

DHL Whiteland, IN is seeking a Data Engineer I to design and improve data pipelines, build models, and ensure reliable, accessible data across teams. You will work with SQL-based databases and Azure data tools, collaborating with engineers, analysts, and business partners to support DHL’s objectives.

The role requires hands-on data pipeline development, strong SQL skills, and experience with Azure data services. On-site position in Whiteland with competitive benefits and opportunities for growth.

Qualifications

• Bachelor’s degree or 4 years of related professional experience.
• 1+ years in data engineering or related technical role.
• Hands-on experience developing and managing data pipelines.
• Strong SQL knowledge and database management (MySQL, PostgreSQL, SQL Server).
• Proficiency in Python, Java, or Scala.
• Familiarity with data warehousing concepts and Azure environments.

Responsibilities

• Improve data accessibility and usability for developers, architects, analysts, and data scientists.
• Maintain alignment and consistency across projects by adhering to data delivery standards.
• Design and implement data pipelines that optimize data flow for cross-functional teams.
• Build, deploy, and maintain data processes supporting multiple systems and products.
• Develop data workflows for modeling, mining, and production, exploring new data sources.
• Use languages and tools to integrate systems and enhance data reliability and quality.
• Architect, build, and deploy data models to strengthen analytics capabilities.
• Collaborate with cross-functional partners to align data initiatives with business goals.

Skills

SQL

Python

Java

Scala

Data modeling

ETL

Azure data warehousing

Education

Bachelor’s degree or 4 years of related experience

1+ years data engineering experience

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Power BI

MySQL

PostgreSQL

SQL Server

Job description

At DHL Supply Chain, this Data Engineer I role focuses on designing and improving data pipelines so teams can rely on consistent, accessible information. You will build and maintain data flows and models, integrating systems while collaborating with cross-functional partners to support business objectives.

Key Responsibilities

• Improve data accessibility and usability for developers, architects, analysts, and data scientists.
• Maintain alignment and consistency across projects by adhering to 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 support multiple systems and products.
• Develop and sustain data workflows for modeling, mining, and production, including identifying opportunities for new data acquisition and integration.
• Use a range of languages and tools to integrate systems and enhance data reliability, efficiency, and quality.
• Architect, build, and launch data models that strengthen analytics capabilities and support business objectives.
• Collaborate with cross-functional partners to ensure data initiatives align with organizational goals and stakeholder needs.

Required Qualifications

• 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 experience working with large datasets (required).
• Knowledge of data modeling, ETL processes, and data warehousing concepts, particularly within Azure environments (required).

Preferred Experience

• 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).

Technologies

SQL, MySQL, PostgreSQL, SQL Server, Python, Java, Scala, data pipelines, data warehousing solutions, data modeling, ETL processes, Azure environments, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Power BI.

Benefits

• Competitive wages.
• Excellent insurance benefits (health, dental, vision, life).
• 401K plan.
• Paid vacation and holidays.
• Opportunities for career growth.

Location and Experience Level

Location: Whiteland, IN (onsite).
Experience: Minimum 1 year.