Data Engineer

American IT SystemsPlano, TX

About The Position

We are seeking a Data Engineer with strong experience with data wrangling and building enterprise data pipelines including ingestion, transformation and management.

Requirements

  • 5+ years of experience in Data Engineering roles
  • Strong hands-on experience with data ingestion / ETL / ELT tools like Azure Data Factory and data modelling
  • Proficient in using Azure Databricks (PySpark/Spark SQL) and medallion architecture
  • Experience with other SQL databases, relational databases and NoSQL databases
  • Understanding of data lake and data warehouse architectures (e.g., Azure Data Lake, One Lake, Delta Tables)
  • Experience working with large-scale structured and semi-structured datasets
  • Ability to work with cross-functional teams and translate business requirements into technical solutions

Responsibilities

  • Design, develop, and maintain end-to-end data pipelines using data ingestion tools and Azure Databricks
  • Implement scalable data ingestion frameworks (batch and incremental) from diverse data sources (APIs, databases, files, cloud storage)
  • Build and optimize data transformation logic using Spark (Databricks), SQL, and Python
  • Develop and maintain data models supporting analytics, reporting, and machine learning use cases
  • Collaborate with analytics teams to enable Power BI datasets and reporting solutions
  • Ensure data quality, reliability, and consistency through validation frameworks and monitoring
  • Optimize performance of pipelines, storage, and compute resources in Azure
  • Implement data governance practices, including lineage, cataloging, and documentation
  • Support CI/CD deployment pipelines for data engineering workflows
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