Data Engineer for Analytics & Data Warehousing

ZealHire Inc.; Dallas, Northern (TX, KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

ZealHire Inc. is seeking a Data Engineer to build and optimize data warehouses, analytical platforms, and pipelines in a Dallas on-site environment. You will collaborate with data scientists and analysts, implement scalable ETL processes, and contribute to ML-ready data infrastructure.

The role emphasizes data modeling, security, performance, and cloud data services, with hands-on coding in Python/Java/Scala and SQL to support advanced analytics initiatives.

Qualifications

• Deep knowledge of data engineering principles and practices.
• Proficiency in Python, Java, Scala and SQL.
• Experience with Spark, Hadoop, or cloud data services.
• Knowledge of database design and data modeling.
• Understanding of ETL and data integration concepts.

Responsibilities

• Build and maintain data warehouses and analytical platforms.
• Develop and optimize data pipelines and ETL processes.
• Support analytical capabilities including ML, predictive modeling, and AI.
• Ensure data pipelines are tested, debbuged and reliable.
• Design data architectures that support scalability, performance and compliance.
• Collaborate with data scientists and analysts to implement analytics solutions.
• Implement data security, encryption, and access controls.
• Support data migration and integration projects.

Skills

Data engineering principles

Python

Java

Scala

SQL

Big data platforms

Education

Bachelor's degree in a related field

Tools

Spark

Hadoop

Cloud data services

Job description

ZealHire Inc. is seeking a Data Engineer to build and optimize data warehouses, analytical platforms, and pipelines in a Dallas on-site environment. You will collaborate with data scientists and analysts, implement scalable ETL processes, and contribute to ML-ready data infrastructure.

The role emphasizes data modeling, security, performance, and cloud data services, with hands-on coding in Python/Java/Scala and SQL to support advanced analytics initiatives.