SAP Americas, Inc.

Data Engineer

Bellevue, Washington, USA · Full-time

Sponsorship not specifiedDetected 24 days ago

PythonSQLSnowflakeDatabricksKafkaMachine LearningSparkData EngineeringAccessibilitySAPERPCustomer SupportLeadership

About the role

Ensure data quality, lineage, and observability through validation, monitoring, and documentation.

In your role, you will: Design, build, and maintain data pipelines that feed AI models.
Develop robust ETL/ELT pipelines to ingest, transform, and integrate data from enterprise sources.
Build, curate and optimize high-quality datasets and pipelines.
Design and manage data stores optimized for AI workloads.
Collaborate with ML engineers to deliver the right data in the right shape.
Implement data governance, privacy, and access controls in partnership with security engineers.
Document data sources, schemas, and pipeline architecture for technical and business stakeholders.
Software-Design and Development |
Software-Design and
Design, build, and maintain data pipelines that feed AI models.

3+ years of experience in data engineering or development with a data focus.
Proficiency in SQL and a programming language such as Python or Scala.
Hands-on experience with data processing frameworks (e.g. Spark, Kafka).
Familiarity with data lake house technologies (e.g. Snowflake, Databricks).
Experience preparing data for AI and analytical use cases.
Knowledge of cloud data platforms.
Knowledge of privacy, security and compliance requirements for enterprise software.

Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity.
SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role.
The targeted annual combined range for this position is 00USD.
Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.

We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best.
Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

We use AI to help customers faster, smarter and more preventive.
Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.
Your team will be part of the AI & Support Engineering organization with a decade of experience delivering enterprise AI at scale.

This listing is sourced directly from SAP Americas, Inc.'s careers page and normalized into a canonical job model.