Senior Data Engineer — Real-Time Analytics & Cloud Pipelines
Talent Reel
San Diego (CA)
On-site
USD 109,300 - 191,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Medical insurance
Vision insurance
401(k)
Job summary
A global technology company in San Diego is hiring a Senior Data Engineer to enhance their cloud-based analytics platform. The role involves building scalable data pipelines, developing real-time dashboards, and collaborating with multidisciplinary teams. Ideal candidates should have 5–8 years of experience in data engineering, proficient in Python and SQL, and familiar with data visualization tools. Benefits include medical and vision insurance and a 401(k) plan.
Qualifications
5–8 years of experience in data engineering, analytics or backend development roles.
Strong proficiency in Python and SQL.
Hands-on experience with data pipelines and cloud platforms.
Responsibilities
Design, build, and maintain scalable data pipelines.
Develop dashboards and visualizations for monitoring performance.
Deploy data solutions in cloud environments.
Skills
Python
SQL
Data pipelines / ETL
Cloud platforms (AWS, Azure, GCP)
Visualization tools (Grafana, Kibana, Power BI)
Job description
A global technology company in San Diego is hiring a Senior Data Engineer to enhance their cloud-based analytics platform. The role involves building scalable data pipelines, developing real-time dashboards, and collaborating with multidisciplinary teams. Ideal candidates should have 5–8 years of experience in data engineering, proficient in Python and SQL, and familiar with data visualization tools. Benefits include medical and vision insurance and a 401(k) plan.