Senior Data Engineer at SAP (San Ramon, CA)

Requisition ID: 271764
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time



SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. Thats why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.
SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because its the best-run businesses that make the world run better and improve peoples lives.

Please note: this role can be based from the Palo Alot or San Ramon office, once offices re-open.

About SAP SuccessFactors

SAP SuccessFactors is a world-leading provider of cloud human experience management (HXM) – the new people-focused market category for Human Resource technology. Our HXM suite lets more than 7,000 global customers provide their employees with experiences that recognize their individual value and consistently motivate them to achieve peak performance levels – values we also live by. Working on the SAP SuccessFactors team means making an impact to over 160m global users with a market leading cloud solution.


The Data Platform group within SAP SuccessFactors is looking for a data engineer/ machine learning engineer to design, develop, and deliver automated multi-tenant artificial intelligence and machine-learning based solutions that integrate with SAP SuccessFactors business applications.

The Role

You are a curious and experienced Data Engineer interested in building data driven enterprise solutions with knowledge of machine learning in commercial environments and build scalable platform to handle large data sets. You are a quick learner and comfortable working cross-functionally with product managers, engineers, and business users to understand business problems and collaborate with the team on a viable solution. You take ownership of a project and plan to deliver a solution in a timely manner.

Education & Qualification Requirements

  • 5-7+ years of relevant experience
  • BS/MS/PhD in Computer Science or related field
  • Experience with Java, Scala & Python
  • Practical knowledge of machine learning algorithms and operationalization of data science pipelines
  • Hands on experience with ETL/ELT tools
  • Expert Knowledge of distributed data processing such as Hadoop ecosystem and spark
  • Strong knowledge of SQL & Linux
  • Comfortable with Data Security Concepts & SDLC
  • Familiarity with leading cloud vendors such as GCP, Azure, AWS and related tools

#SOF2020 #HiringwithHeather

Success is what you make it. At SAP, we help you make it your own.
A career at SAP can open many doors for you. If youre searching for a company thats dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment apply now.

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team. ( or, APJ:, EMEA: Requests for reasonable accommodation will be considered on a case-by-case basis. Successful candidates might be required to undergo a background verification with an external vendor.

EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

Successful candidates might be required to undergo a background verification with an external vendor.
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