Senior Data Engineer
CGS Federal (Contact Government Services)
ETLPostgresPythonSQL
Data Engineering Intern
Sentry
internship
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $53 per hour
Job Level
Entry Level
Tech Stack
AirflowBigQueryCloudGoogle Cloud PlatformKafkaPythonSQL
About the role
- Work with GCP services (BigQuery, Pub/Sub, Cloud Storage, etc.) to support scalable and reliable data systems
- Develop and optimize DAGs in Airflow to schedule and automate workflows
- Write efficient Python and SQL code to process, transform, and analyze large datasets
- Partner with Data Engineering and Business Intelligence teams to ensure data quality, consistency, and availability across the company
- Support initiatives to improve the scalability, monitoring, and reliability of our data infrastructure
Requirements
- Currently pursuing a Bachelor’s degree, graduating in 2027 or later, in computer science, data engineering, or a related technical discipline, with a 3.0 minimum GPA or equivalent
- Exposure to Python and SQL for data processing and pipeline development
- Familiarity with data engineering concepts such as batch and streaming data processing
- Exposure to tools such as Kafka, Pub/Sub, Airflow, BigQuery, or other GCP services
- Understanding of software engineering best practices (version control, testing, CI/CD) is a plus
- Ability to communicate clearly and work collaboratively with technical and non-technical teams
Benefits
- Incentive compensation
- Equity grants
- Paid time off
- Group health insurance coverage
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLdata processingdata pipeline developmentDAGsdata transformationdata analysisbatch processingstreaming data processingsoftware engineering best practices
Soft skills
communicationcollaboration
