Software Engineer Principal – Data Engineering
Spectraforce
US
Remote
a month ago
Job Description
Title: Software Engineer Principal – Data Engineering
Location: TX/ Remote
Duration: 7-8 Months (till 3/31/2026, possible extension)
Why is this role open? Project has grown and more support is needed
Resource's typical working day:
Must-have Skills:
Nice-to-have Skills:
Years of Experience: 5-10 years
Education: H.S. diploma with applicable experience
Software Skills:
Interview: 1 round virtual (Teams) with hiring manager
Role Overview:
We are seeking a skilled Data Engineer to support our data quality program by developing robust Python-driven integrations. The ideal candidate will have deep experience with Apache Airflow and a strong command of Linux/Unix environments. In addition, exposure to cloud platforms like AWS or Azure will be a valuable asset.
Key Responsibilities:
• Design and implement Python-based data integration pipelines using Apache Airflow.
• Collaborate with data quality teams to translate requirements into effective solutions.
• Maintain, monitor, and troubleshoot workflows on Linux/Unix systems.
• Optimize data processing for performance and scalability.
Qualifications:
• Strong proficiency in Python.
• Hands-on experience with Apache Airflow (required).
• Solid understanding of Linux/Unix operating systems.
• Experience with data quality tools and methodologies.
• Exposure to cloud platforms like AWS or Azure is a plus.
• Strong problem-solving abilities and attention to detail.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $60.00/hr.
Location: TX/ Remote
Duration: 7-8 Months (till 3/31/2026, possible extension)
Why is this role open? Project has grown and more support is needed
Resource's typical working day:
- Looking to resolve issues with the platform/data
- Will be working in Python and making sure all aspects are working correctly
- There will be some development as well
- Moving from Postgres to Snowflake
- Updating scripts
- Lots of support and development tasks
Must-have Skills:
- Experience with databases
- Experience with Python and moving data
- Familiarity with Lennox and Unix
Nice-to-have Skills:
- Familiarity with Snowflake
- Exposure to AI
- copilot
- Fullstack experience
- Front end experience
Years of Experience: 5-10 years
Education: H.S. diploma with applicable experience
Software Skills:
- Python
- Experience with PI tools
- Lennox and Unix
- Snowflake
- AI tools
Interview: 1 round virtual (Teams) with hiring manager
Role Overview:
We are seeking a skilled Data Engineer to support our data quality program by developing robust Python-driven integrations. The ideal candidate will have deep experience with Apache Airflow and a strong command of Linux/Unix environments. In addition, exposure to cloud platforms like AWS or Azure will be a valuable asset.
Key Responsibilities:
• Design and implement Python-based data integration pipelines using Apache Airflow.
• Collaborate with data quality teams to translate requirements into effective solutions.
• Maintain, monitor, and troubleshoot workflows on Linux/Unix systems.
• Optimize data processing for performance and scalability.
Qualifications:
• Strong proficiency in Python.
• Hands-on experience with Apache Airflow (required).
• Solid understanding of Linux/Unix operating systems.
• Experience with data quality tools and methodologies.
• Exposure to cloud platforms like AWS or Azure is a plus.
• Strong problem-solving abilities and attention to detail.
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $60.00/hr.