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Sr. Data Engineer SMTS

Global leader in CRM software and enterprise cloud computing solutions
$151,800 - $227,700
Data
Senior Software Engineer
Remote
5,000+ Employees
1+ year of experience
Enterprise SaaS
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Description For Sr. Data Engineer SMTS

Salesforce, a leading enterprise software company, is seeking a Senior Data Engineer SMTS to join their team in San Francisco, with remote work options available. This role offers an exciting opportunity to work with cutting-edge data technologies and shape the company's data infrastructure.

As a Sr. Data Engineer, you'll be responsible for designing and implementing both batch and real-time data pipelines, serving as a subject matter expert in data engineering and big data technologies. You'll work closely with data producers, analysts, and data scientists to ensure reliable data delivery and actionable insights.

The ideal candidate should have a Master's degree in Computer Science or related field, with expertise in Python, SQL, cloud technologies, and big data processing frameworks. You'll be working with modern tools including Docker, Kubernetes, and CI/CD pipelines, making this an excellent opportunity for those passionate about data engineering and infrastructure.

The position offers competitive compensation ranging from $151,800 to $227,700 annually, along with the flexibility of remote work. Salesforce is known for its inclusive culture and commitment to equality, making it an ideal workplace for diverse talent to grow and make an impact.

This role provides an excellent opportunity to work on challenging problems at scale, collaborate with talented professionals, and contribute to Salesforce's mission of improving the state of the world through technology.

Last updated 7 months ago

Responsibilities For Sr. Data Engineer SMTS

  • Design and implement data pipelines, both batch and real time
  • Be the subject matter expert for data, pipeline design, and big data technologies
  • Identify reliability and data quality problems and drive triaging and remediation processes
  • Partner with data producers in understanding data sources
  • Enable data contracts and define data models that drive analytics
  • Partner with Analysts and Data Scientists on delivering reliable data
  • Evaluate various technologies and platforms
  • Execute proof of concept on new technology and tools

Requirements For Sr. Data Engineer SMTS

Python
Kubernetes
  • Master's degree in Computer Science, Engineering, or closely related quantitative discipline
  • 1 year of experience in job offered or related field
  • Experience with Python (1 year)
  • Experience with SQL (1 year)
  • Experience with Cloud Technologies (AWS, GCP, or Azure) (1 year)
  • Experience with Apache Spark or other big data processing frameworks (1 year)
  • Knowledge of Data Warehousing Concepts
  • Experience with ETL/ELT Tools
  • Experience with Docker
  • Experience with Kubernetes
  • Experience with Git Version Control
  • Experience with CI/CD pipelines

Benefits For Sr. Data Engineer SMTS

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan
  • Equity compensation
  • Equal employment opportunity
  • Inclusive benefits

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