What are the responsibilities and job description for the Data Warehouse Engineer position at Enormous Enterprise LLC?
Company:
Enormous Enterprise LLC
Location:
Plano, TX
Pay:
DOE
Posted:
March 18, 2026
Apply
Description:
Data Warehouse Engineer
Location: Plano, TX (Hybrid) 3 days onsite 2 days remote
Duration: 12 months Contract (with high possibilities of extension)
Visa: w2 with 12 months visa validity
Description:
Enormous Enterprise LLC
Location:
Plano, TX
Pay:
DOE
Posted:
March 18, 2026
Apply
Description:
Data Warehouse Engineer
Location: Plano, TX (Hybrid) 3 days onsite 2 days remote
Duration: 12 months Contract (with high possibilities of extension)
Visa: w2 with 12 months visa validity
Description:
- Key Skills – Python, Shell, Oracle, Data Warehousing (Perl very nice to have)
- Data Warehouse Engineer w/ Backend Focus to maintain and improve architecture, tools and processes.
- Implement, configure, and manage Linux-based processes and infrastructure for data warehousing.
- Identify and implement system/architecture improvements.
- Enhance various Linux-based toolsets, scripts, jobs and processes.
- Enhance ETL/database load/extract processes.
- Proven experience as a Data Warehouse Engineer with a strong emphasis on Shell Scripting and Oracle development.
- Practical working experience in Linux environment setup and shell scripting
- Practical knowledge of Unix file systems including basics of mount types, permissions, standard tools, pipes.
- Working knowledge of Python and preferably also Perl.
- Practical working experience with relational databases, preferably Oracle Exadata.
- Understanding of the Agile methodology.
- Excellent written and oral communication skills.
- Passion for automation and continual process improvement.
- Minimum 5 years of experience.
- Bachelor’s degree in STEM related field.
- Practical working experience using ETL tools, preferably Informatica.
- Practical working experience using orchestration tools, preferably Airflow w/ Python.
- Experience with data warehouses and knowledge of the data flows involved.
- Willingness to take on problems outside of current skillset and experience.