3 months ago
Base Salary
$140k - $190k/yr
Responsibilities
- Design, architect, develop, and support GCP data pipelines for extracting, loading, and transforming data.
- Create and maintain documentation describing how information assets are stored, processed, and supported.
- Lead technical projects and teams while estimating and planning project work.
- Collaborate with business analysts and project management to review requirements and produce technical design specifications.
- Develop Python-based ELT data pipelines and optimize BigQuery SQL queries and scripts.
- Attend daily team standups and support ML and data engineering initiatives.
Requirements
- 5+ years of hands-on experience as a Data Engineer or Data Architect.
- Proven experience leading technical projects and teams.
- Expert proficiency with Google Cloud Platform tools including Google Cloud Storage, BigQuery, Cloud Composer/Airflow, and Dataproc/Spark.
- Advanced SQL skills, including writing, tuning, and interpreting complex queries.
- Experience writing and maintaining Unix/Linux shell scripts.
- Solid understanding of Data Build Tool (DBT).
- Experience with CI/CD pipelines and machine learning.
- Proficiency with a business intelligence tool and strong data analysis and problem-solving skills.
- Proficiency developing Python-based ELT data pipelines and optimizing GCP BigQuery SQL queries and scripts.
Benefits
- Health insurance, retirement plans, and professional development opportunities.
- Position based in Nashville; compensation is described as commensurate with experience and skills.
Tech Stack
Categories
Data Engineering
About Egen
Egen is a privately held IT services firm that designs and builds cloud, data, analytics, AI, and platform solutions for enterprises and public-sector clients. It delivers consulting, engineering, and managed services across major ecosystems, including Google Cloud and Salesforce. Founded in 2000 and headquartered in Naperville, Illinois, Egen operates across North America, Europe, and India.