Data Engineer - Senior/Lead

Salesforce
Seattle, Bellevue, San Francisco
Workplace: HybridFull timeUSD 172,500 - 260,100 annuallyFunction: Administration & Executive AssistanceSkills: ["Self-management","Clear communication","Technical leadership","Data modeling expertise","Independent problem-solving"]

Design and build reliable, production-ready data pipelines that turn raw, distributed data into trusted, modeled datasets for analytics and AI/ML. Partner with data scientists and strategy analysts to shape architecture, translate requirements into scalable SQL and ETL/ELT workflows, and deliver curated marts, semantic layers, and feature stores. Own data quality, lineage, and governance while optimizing performance for high-volume environments and supporting operations through on-call rotations.

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FursaFursa
Salesforce
Salesforce
3 days ago

Data Engineer - Senior/Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design and build reliable, production-ready data pipelines that turn raw, distributed data into trusted, modeled datasets for analytics and AI/ML. Partner with data scientists and strategy analysts to shape architecture, translate requirements into scalable SQL and ETL/ELT workflows, and deliver curated marts, semantic layers, and feature stores. Own data quality, lineage, and governance while optimizing performance for high-volume environments and supporting operations through on-call rotations.
Location: Seattle, Bellevue, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Partner with data scientists and strategy leads on planning, design reviews, and roadmap discussions to inform architecture decisions.
  • •Own end-to-end technical solution design for data acquisition and integration (batch and real-time), including layered raw→cleansed→curated→semantic stacks.
  • •Craft and maintain design artifacts such as functional design documents, data flow diagrams, data models, and schema contracts for shared review and reuse.
  • •Build production data pipelines, curated marts, semantic layers, and feature stores so analysts and data scientists can work independently.
  • •Optimize data quality, lineage, and trust; proactively improve performance and reliability; participate in on-call to address production data issues.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionHealth InsuranceParental LeaveLife InsuranceDisability Insurance401kEquityTime Off

Key Requirements

  • •8+ years of experience in data engineering.
  • •Translate analytical and statistical requirements into well-performing SQL and scalable ETL/ELT pipelines.
  • •Demonstrated experience working closely with data scientists and strategy analysts on downstream data modeling, sampling, and analysis.
  • •Solid understanding of databases and working with sophisticated datasets in the Salesforce environment.
  • •Experience with tools and ecosystems such as Airflow, Hadoop ecosystem, and production-level SQL; ability to build end-to-end data engineering pipelines.
Skills:Self-managementClear communicationTechnical leadershipData modeling expertiseIndependent problem-solving
Tech Stack:SQLPythonShell scriptsAirflowAWSSparkTableauHadoopDbtSnowflakeDatabricksGitHubSubversionCI/CDWeb scrapingAPIsETLELTData profilingStatistical testing

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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