Data Engineer

Parahunt Global Solutions is hiring an entry-level Data Engineer in Houston, TX for an onsite, in-person role. This position centers on building dependable data pipelines and analytics-ready datasets that help analysts and business teams work from consistent information. You will support ETL, data warehouse design, and dimensional modeling across public cloud and SQL database environments.

What you’ll do

• Build and maintain reliable data pipelines that make consistent, useful data available for analytics and business use.
• Support ETL pipeline development, along with data warehouse design and dimensional modeling.
• Assist with database design, query management, and data model design across Microsoft SQL Server, Oracle, and cloud databases.
• Contribute to integrating linked data and data from RESTful APIs, supporting analytics and model training workflows.
• Collaborate within an Agile software development process and document data engineering work.

What you bring

• Foundational SQL and Python skills.
• Analysis skills.
• Understanding of data modeling, data management integration, and software development.
• Exposure to cloud and big data tools, including AWS, Azure Data Lake, public cloud, Hadoop, Apache Hive, Spark, Java, and Bash or shell scripting (preferred).
• Familiarity with Informatica or Talend, and Looker or other business intelligence tools.
• Interest in big data, with practical experience gained through coursework or projects welcome.

Tools you’ll work with

SQL, Python, Microsoft SQL Server, Oracle, AWS, Azure Data Lake, public cloud, Hadoop, Apache Hive, Spark, Java, Bash (Unix shell), shell scripting, Informatica, Talend, Looker, RESTful APIs.

Compensation and benefits

$29.67 - $35.74 per hour

• 401(k)
• 401(k) matching

Work location: In person