Senior Data Engineer: AI-Driven Data Foundations

100 Salesforce, Inc.; Atlanta (GA); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce is seeking a Senior Data Engineer to build trusted data foundations that power decision-making across teams. You will design scalable data models, pipelines, and metrics, collaborating with Product, Data Science, Analytics, and Engineering to deliver reliable data products and governance.

The role emphasizes AI-assisted development and data quality, with mentorship across the org. The team focuses on enabling self-service analytics and robust metrics across Salesforce, driving

Qualifications

• 8+ years of experience in software or data engineering.
• Ability to own ambiguous problems from framing to execution.
• Strong autonomy, resourcefulness, and creativity.
• Deep SQL expertise and scalable data pipelines.
• Proficient in Python or Java.
• Experience with Snowflake, Spark, Airflow, and Hive.
• Familiar with data governance and Agile practices.
• Excellent communication skills.

Responsibilities

• Identify high-impact questions with product teams and translate into scalable data models and metrics.
• Build foundational datasets trusted for self-service analytics across teams.
• Design, build, and scale data models and pipelines from sources to datasets.
• Own end-to-end lifecycle of metrics and data products from prototype to production.
• Use AI-assisted development to accelerate engineering while maintaining data quality.
• Lead and align data strategy across teams and investments.
• Expand access to trusted company metrics for faster decision-making.
• Promote data engineering best practices across Slack.

Skills

SQL

Python

Data modeling

Autonomy

Communication

Data governance

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

Spark

Airflow

Hive

Job description

Salesforce is seeking a Senior Data Engineer to build trusted data foundations that power decision-making across teams. You will design scalable data models, pipelines, and metrics, collaborating with Product, Data Science, Analytics, and Engineering to deliver reliable data products and governance.

The role emphasizes AI-assisted development and data quality, with mentorship across the org. The team focuses on enabling self-service analytics and robust metrics across Salesforce, driving