Sales Operations Data Engineer

3 Days ago • 2 Years + • Data Analyst • $118,414 PA - $172,800 PA

Job Summary

Job Description

Salesforce seeks a Sales Operations Data Engineer to contribute to the roadmap for data integrations and sources. Responsibilities include building scalable data processing and ingestion pipelines using Python, AWS, REST APIs, and microservices. The role involves using ETL tooling (Airflow), developing data quality automations, building solutions that scale with growing data volumes, and implementing monitoring and alerting policies. The engineer will develop data models for Tableau, assemble large datasets, participate in code reviews, and contribute to knowledge-sharing sessions. Collaboration with internal customers to understand needs and define implementation plans is crucial. The role also requires maintaining technical documentation and continuous self-improvement.
Must have:
  • Airflow, Docker, Kubernetes, Jenkins, Tableau, Git, JIRA, SQL, Java, JavaScript, MongoDB, Linux
  • Data pipeline building (Python, AWS)
  • ETL processes and data quality automation
  • Data modeling for Tableau
  • Collaboration with stakeholders

Job Details

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

User Experience

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Sales Operations Data Engineer in Seattle, WA:

Job Duties: Contribute to the roadmap for Sales Operations data integrations and data sources. Build robust, scalable data processing and data ingestion pipelines using Python, AWS Services, REST API endpoints, and microservices to ingest data from a variety of external data sources into our Snowflake data warehouse. Use ETL tooling, such as Airflow to build workflow DAGs and schedule jobs. Develop data quality automations and unit tests to ensure the accuracy of the data delivered to the Analysts, Data Scientists, and Business Customers. Build solutions that scale gracefully as our data volumes grow exponentially, automating manual processes and optimizing data delivery. Build and implement monitoring and alerting policies for data solutions. Develop data models that support analytical models used by Tableau. Assemble large, complex data sets that meet function/non-functional business requirements. Participate in code reviews and related processes. Contribute to knowledge-sharing sessions to train global team members on new skills or technologies. Work with internal customers to understand their needs, author and define implementation plans, and functional specifications that solve those needs. Design and maintain technical and project documentation. Regularly assess and improve own performance in such areas as job knowledge, technical skills, productivity, accountability, quality, initiative, innovation, drive, working relationships, communication, leadership, and alignment with the Tableau core values. Telecommuting is an option.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Business Administration, Information Technology and Management, or closely related quantitative discipline, and two (2) years of experience in job offered or in any occupation in a related field.

Special Skill Requirements: (1) Airflow; (2) Docker; (3) Kubernetes; (4) Jenkins; (5) Tableau; (6) Git; (7) JIRA; (8) SQL; (9) Java; (10) JavaScript; (11) MongoDB; and (12) Linux. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. 

Salary: $118,414.00 - $172,800.00 per annum.

Certain roles may be eligible for incentive compensation, equity, and benefits.

More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

Submit a resume using the apply button on this posting or by email at: onlinejobpostings@salesforce.com at Job# 21-12957. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

For Washington-based roles, the base salary hiring range for this position is $118,414 to $172,800.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

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