Senior Data Engineer

Salesforce
Atlanta, Seattle, San Francisco
Workplace: OnsiteFull timeUSD 172,500 - 260,100 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Written and verbal communication","End-to-end ownership","Mentorship","Self-starter","Stakeholder alignment"]

Build and scale the trusted data foundation that powers decision-making across Slack. Partner with Product and analytics stakeholders to translate business questions into reusable metrics, datasets, and technical solutions. Design and optimize data models and pipelines integrating multiple sources, ensuring reliable performance and measurable SLA outcomes. Lead end-to-end metric lifecycles from exploration through production adoption and maintenance, and mentor engineers while improving data governance and engineering best practices.

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FursaFursa
Salesforce
Salesforce
1 day ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale the trusted data foundation that powers decision-making across Slack. Partner with Product and analytics stakeholders to translate business questions into reusable metrics, datasets, and technical solutions. Design and optimize data models and pipelines integrating multiple sources, ensuring reliable performance and measurable SLA outcomes. Lead end-to-end metric lifecycles from exploration through production adoption and maintenance, and mentor engineers while improving data governance and engineering best practices.
Location: Atlanta, Seattle, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with Product and business stakeholders to identify high-impact questions and translate needs into scalable data models, metrics, analyses, and technical solutions.
  • •Build foundational datasets and metrics that are trusted, well understood, aligned to strategy, and enable self-service analytics.
  • •Design, build, and scale data models and pipelines that integrate and transform data from multiple sources with measurable quality and predictable SLA performance.
  • •Own the end-to-end lifecycle of metrics, analytical models, and data products from prototyping through production, adoption, and ongoing maintenance.
  • •Lead initiatives to expand access to trusted company metrics, establish data engineering best practices, and mentor engineers to raise technical quality.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually
Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •8+ years of overall software engineering or data engineering experience, including 5+ years hands-on with data architecture, data modeling, data management, and metadata management.
  • •Strong SQL expertise and proven experience designing scalable data pipelines and data transformations at large scale.
  • •Proven track record architecting and optimizing data models, schemas, and processing workflows for performance, scalability, cost efficiency, and reliability in modern data warehouse environments.
  • •Experience with at least one programming language commonly used in data engineering, such as Python or Java.
  • •Hands-on experience with large-scale data technologies (e.g., Snowflake, Spark, Airflow, Hive) and data governance/SDLC/Agile practices.
Experience:8+ yearsData engineeringData warehousingData governance
Education:Bachelor's
Skills:Written and verbal communicationEnd-to-end ownershipMentorshipSelf-starterStakeholder alignment
Tech Stack:SQLPythonJavaSnowflakeSparkAirflowHiveData modelingDimensional modelingNoSQLRelational data storesStar schemaSnowflake schemaSDLCAgile

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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