Data Engineer II
GSK
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Maryland, Massachusetts • 🇺🇸 United States
Visit company websiteSalary
💰 $116,325 - $193,875 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowAWSAzureCloudGoogle Cloud PlatformKafkaPythonSpark
About the role
- Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, Airflow Composer)
- Produces well-engineered software, including appropriate automated test suites and technical documentation
- Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
- Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
- Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards
- Adhere to QMS framework and CI/CD best practices
- Provide L3 support to existing tools / pipelines / services
Requirements
- Bachelor’s degree in Data Engineering, Computer Science, Software Engineering, or a related discipline
- 4+ years of Data engineering Experience
- Software engineering experience
- Familiarity with orchestrating tooling
- Cloud experience (GCP, Azure or AWS)
- Experience in automated testing and design
Benefits
- health care and other insurance benefits (for employee and family)
- retirement benefits
- paid holidays
- vacation
- paid caregiver/parental and medical leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSparkKafkaStormGoogle WorkflowAirflow Composerautomated testingCI/CDdata engineeringsoftware engineering
Soft skills
collaborationcode reviewproblem-solvingquality assuranceiterationdocumentation