Design and optimize data pipelines to keep information reliable, accessible, and aligned to business goals in an onsite role in Whiteland, IN.

Improve data accessibility and usability for developers, architects, analysts, and data scientists
Maintain delivery consistency across initiatives by adhering to established data delivery architecture standards
Propose 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 operate data workflows for modeling, mining, and production, including identifying new data acquisition and integration opportunities
Use multiple 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 work aligns with organizational goals and stakeholder needs

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 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 Power BI for data visualization, preferred
Understanding of data governance and data quality principles, preferred

Data Engineer I

Job Description