Data Engineer
Azure
Big Data
Bigdata
Business Systems
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Engineer
ERP
ETL
Financial Software
Hadoop
Hr Technology
Informatica
Information Technology (IT)
Oracle
Programming Language
Programming Languages
Software Development
SQL
Job Description
Parahunt Global Solutions is hiring an entry-level Data Engineer in Houston, TX. This onsite role focuses on creating dependable data pipelines and analytics-ready datasets, with hands-on support across ETL, data warehouse design, and data modeling in both public cloud and SQL database environments.
Role Responsibilities
- Build and maintain reliable data pipelines that enable analysts and business teams to access consistent, useful information.
- Support ETL pipeline development, including extraction, transformation, and loading.
- Assist with data warehouse design and dimensional modeling to structure analytics-ready datasets.
- Contribute to database design, query management, and data model design for Microsoft SQL Server, Oracle, and cloud database environments.
- Help integrate linked data and data from RESTful APIs to support analytics and model training workflows.
- Collaborate within an Agile software development process and document data engineering work.
Required Skills and Experience
- Foundational skills in SQL and Python.
- Analysis skills.
- Understanding of data modeling, data management, integration, and software development.
- Exposure to public cloud and big data tooling, including one or more of: AWS, Azure Data Lake, Hadoop, Apache Hive, Spark, Java, and Bash (Unix shell) or shell scripting (preferred).
- Familiarity with Informatica or Talend, and Looker or other business intelligence tools.
- Knowledge of analytics, data warehouses, SQL databases, and data warehousing design is an asset.
- Interest in big data, including practical experience through coursework or projects, is welcome.
Technologies You Will 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, and RESTful application programming interfaces (APIs).
Compensation and Work Location
- Location: Houston, TX (onsite / in person)
- Pay: USD 29.67 - 35.74 per hour
Benefits
- 401(k)
- 401(k) matching
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