Software Engineering PMTS - Data Engineer
Salesforce21 hours ago
Remote, PolandStaff+
Responsibilities
- Manage and optimize data lake infrastructure, including Apache Iceberg table maintenance, compaction, and vacuuming.
- Architect and maintain Snowflake-to-lake Apache Airflow DAGs for large-scale data transformations.
- Design and implement data transformation pipelines with event-schema enforcement and time-partition standards such as ts and ds.
- Integrate offline data stores with Zipline to enable historical backfills and point-in-time-correct training data.
- Troubleshoot data-quality anomalies, pipeline failures, and performance bottlenecks in distributed data systems.
- Establish Data-as-a-Product practices, including data contracts, SLAs, and data-lineage tracking.
Requirements
- 15+ years of experience in data engineering, data architecture, and distributed data processing.
- Deep expertise in modern data lake architectures, including Apache Iceberg and Delta Lake, and data warehousing with Snowflake.
- Advanced proficiency with Apache Spark, EMR, and Apache Airflow.
- Expert-level SQL optimization skills and strong programming experience in Python or Scala.
- Experience integrating offline data platforms with machine learning feature stores such as Zipline and Feast.
- Strong focus on data quality, schema enforcement, and pipeline reliability.
Benefits
- Salesforce states that its benefits and resources support balance and well-being.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
Categories
Data Engineering
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.