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 to help build dependable data pipelines and analytics-ready datasets for internal teams. This onsite role in Houston, TX supports ETL workflows, data warehouse efforts, and data modeling across Microsoft SQL Server, Oracle, and public cloud environments.
You will assist with the engineering tasks that keep data accessible and consistent, including integration from linked sources and RESTful APIs. The work takes place within an Agile development process, with expectations to document data engineering contributions.
Responsibilities
- Build and maintain reliable data pipelines that enable analysts and business teams to access consistent, useful information.
- Support ETL (extract, transform, load) pipeline development, including data warehouse design and dimensional modeling.
- Assist with database design, query management, and data model design across Microsoft SQL Server, Oracle, and cloud databases.
- Help integrate linked data and data from RESTful application programming interfaces (APIs), supporting analytics and model training workflows.
- Collaborate in an Agile software development environment and document data engineering work.
Requirements
- Foundational SQL and Python skills.
- Analysis skills.
- Understanding of data modeling, data management integration, and software development.
- Exposure to one or more of the following is preferred: AWS, Azure Data Lake, public cloud, big data systems, Hadoop, Apache Hive, Spark, Java, Bash (Unix shell), or shell scripting.
- Familiarity with Informatica or Talend, and Looker or other business intelligence tools, along with data warehouse concepts and SQL database experience, is an asset.
- Interest in big data, with practical experience through coursework or projects, is welcome.
Technologies
- 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 application programming interfaces (APIs)
Benefits
- 401(k)
- 401(k) matching
Compensation: $29.67 - $35.74 per hour (USD 29 - 35 per hourly). Work location: In person (onsite).
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