Senior or Lead Data Engineer

Global enterprise software company specializing in customer relationship management (CRM) solutions
$165,600 - $265,200
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Software Engineer - Data Platform

Senior Software Engineer position at Samsara focused on building and maintaining data platform infrastructure, requiring expertise in Spark, AWS, and large-scale data systems.

Sr. Software Engineer, Big Data

Senior Software Engineer position at Pinterest focusing on Big Data infrastructure, data warehousing, and analytics systems at petabyte scale.

Senior Data Engineer

Senior Data Engineer position at Disney in Glendale, CA

Data Infrastructure Engineer

Senior Data Infrastructure Engineer position at Intellectsoft, building and maintaining data pipelines and infrastructure with 5+ years experience required. Remote work available.

Senior Data Scientist / Machine Learning Engineer

Senior Data Scientist / Machine Learning Engineer position at Rokt in New York, combining data science expertise with ML engineering in a hybrid work environment.

Description For Senior or Lead Data Engineer

The Salesforce Cloud Economics and Capacity Management (CECM) team is seeking a Senior Data Engineer to join their innovative team. This role focuses on building breakthrough features for internal customers while ensuring stable and scalable applications. The team develops intelligent, data-driven tools for strategic decision-making in infrastructure expenditure and capacity management.

The position involves working with petabytes of data, applying advanced machine learning techniques, and building near real-time monitoring systems for cost and capacity utilization. As part of a modern, lean, self-governing product engineering team, you'll wear multiple hats from coding to requirements gathering and quality testing.

The role offers a unique opportunity to work directly with customers while developing distributed systems with company-wide visibility. You'll be building scalable, resilient systems that collect, process, and analyze massive volumes of operational data. The position requires expertise in data architecture, ETL, SQL, and proficiency in Big Data technologies like Spark, Trino, Hive, and Airflow.

Working at Salesforce means joining a global leader in CRM solutions, with opportunities to collaborate with teams across AMER and APAC. The company offers competitive compensation and the chance to work on projects that directly impact business decisions. This role is perfect for someone passionate about data engineering who wants to make a significant impact in a leading enterprise software company.

The hybrid work model offers flexibility while maintaining collaborative opportunities in either San Francisco or Bellevue offices. You'll be part of a team that values innovation, mentorship, and professional growth, working on cutting-edge technologies and solving complex data challenges at scale.

Last updated 5 months ago

Responsibilities For Senior or Lead Data Engineer

  • Develop, automate, enhance, maintain scalable ETL pipelines
  • Independently design & develop resilient and reusable automation data frameworks
  • Participate in data pipeline development being delivered by multiple engineers
  • Participate in requirements gathering, design, and development of complex datasets
  • Mentor junior team members in all aspects of the data maturity lifecycle
  • Work and collaborate with global teams across AMER, and APAC

Requirements For Senior or Lead Data Engineer

Python
  • A related technical degree required
  • 5+ years of experience in data engineering, data modelling, automation and analytics
  • Deep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes and architecture
  • Experience working as a senior engineer in a customer-focused team
  • Must be able to strategically communicate status and identify risks
  • Self-starter, highly motivated, able to shift directions quickly when priorities change
  • Must be results oriented and able to move forward with minimal direction
  • Experience in distributed SQL analytics engines such as Spark and Trino
  • Deep proficiency in Big Data technologies like Spark, Trino, Hive, Airflow, Docker
  • Experience working in Agile and Scrum methodology, incremental delivery, and CI/CD
  • Experienced in cloud provider platforms such as AWS, Azure, GCP
  • Experience with data visualization tools like Tableau is a Plus

Interested in this job?