Data Engineer

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

Role: Data Engineer
Location: Dallas TX 5 days on site (Local candidates)

Onsite Interview
Duration: Long Term

USC, GC

Responsibilities

• Apply engineering science and technology, including principles, techniques, procedures, and equipment to the design and implementation of data warehouse and advanced analytical applications.
• Enhance and maintain corporate data warehouse and analytical platforms.
• Support engineering needs associated with advanced analytical capabilities including machine learning, predictive modeling, and artificial intelligence.
• Debug, test, and optimize data pipelines and ETL processes for performance and reliability.
• Design and implement data architectures that support scalability, performance, and compliance requirements.
• Collaborate with data scientists and analysts to implement advanced analytics solutions.
• Implement data security, encryption, and access control mechanisms.
• Support data migration and integration projects.

Qualifications

• Strong knowledge of data engineering principles and practices.
• Proficiency in programming languages (Python, Java, Scala) and SQL.
• Experience with big data platforms and tools (Spark, Hadoop, or cloud data services).
• Knowledge of database design and data modeling.
• Understanding of ETL and data integration concepts.

$000,000 – $000,000 Salary range is not shown on the candidate portal