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Salesforce

Senior Data Engineer – Enterprise

Salesforce

. Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas .

Posted 5/14/2026full-timeSan Francisco • California, Virginia, Washington • 🇺🇸 United StatesSenior💰 $172,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies
AirflowETLPythonSDLCSQL

About the role

Key responsibilities & impact
  • Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas
  • Design, implement, and maintain data pipelines that deliver high-quality data under defined SLAs
  • Partner with product, analytics, and engineering teams to build trusted, well-documented foundational datasets aligned with business strategy
  • Champion data strategy across multiple teams and use cases, driving consistency and reliability at scale
  • Expand access to core company metrics through strong technical and process foundations
  • Identify, document, and promote data engineering best practices across Slack

Requirements

What you’ll need
  • 5+ years of experience in data architecture, data modeling, master data management, or metadata management
  • Hands-on expertise with relational modeling approaches — including columnar, star schema, snowflake, and dimensional modeling
  • Proven track record optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments
  • Experience with Airflow or a comparable workflow orchestration platform for data pipeline management
  • Strong proficiency in Python and SQL
  • Familiarity with data governance frameworks, SDLC, and Agile methodologies
  • Excellent written and verbal communication skills with the ability to partner effectively across technical and business teams
  • U.S. citizen or lawful permanent resident, willing to undergo a background check for GovSlack authorization

Benefits

Comp & perks
  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data architecturedata modelingmaster data managementmetadata managementrelational modelingSQLETLPythonAirflowdata governance
Soft Skills
communicationcollaborationdocumentationchampioning data strategypromoting best practicespartnering across teamsdriving consistencyreliabilityproblem-solvingadaptability